{"paragraphs":[{"text":"%md\n\nTwitter from Strata Hadoop using Phoenix, NiFi, TensorFlow, Python","dateUpdated":"2016-09-29T14:45:30+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorHide":true},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475156839046_1382303959","id":"20160927-021601_1787209107","result":{"code":"SUCCESS","type":"HTML","msg":"<p>Twitter from Strata Hadoop using Phoenix, NiFi, TensorFlow, Python</p>\n"},"dateCreated":"2016-09-29T13:47:19+0000","dateStarted":"2016-09-29T13:48:40+0000","dateFinished":"2016-09-29T13:48:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:298"},{"text":"%phoenix\n\nselect handle, hashtags, msg, inception, sentiment from tweets  where hashtags is not null  order by handle,\nhashtags, msg","dateUpdated":"2016-09-30T21:20:52+0000","config":{"colWidth":6,"editorMode":"ace/mode/scala","graph":{"mode":"table","height":300,"optionOpen":false,"keys":[{"name":"HANDLE","index":0,"aggr":"sum"}],"values":[{"name":"HASHTAGS","index":1,"aggr":"sum"}],"groups":[],"scatter":{"xAxis":{"name":"HANDLE","index":0,"aggr":"sum"},"yAxis":{"name":"HASHTAGS","index":1,"aggr":"sum"}}},"enabled":true},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475156839046_1382303959","id":"20160927-021608_1741753429","result":{"code":"SUCCESS","type":"TABLE","msg":"HANDLE\tHASHTAGS\tMSG\tINCEPTION\tSENTIMENT\n4Rosalba\tMSIgnite\tRide in an Oracle Tesla. Free to all #MSIgnite, #wdayrising and #StrataHadoop attendees. #OracleFreeRides… https://t.co/qRPIwhHSYn\tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \n4everfusiongal\tApache\t.@strataconf Sep 29 12:30 pm NYC: Last chance extreme crash course @hortonworks DataFlow/#Apache NiFi Booth 409… https://t.co/zefvE0OTKk\tCompound -0.1779 Negative 0.137 Neutral 0.761 Positive 0.102  \tCompound -0.1779 Negative 0.137 Neutral 0.761 Positive 0.102  \n7wData\tdata\tHere’s Watson again #data usage in a Virtual reality mode #ibm #DataFirst #DataWorks #Strataconf\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \n7wData\tdata\tMoving #data from CPU to memory, we now face new challenges. Moving #information into humans #Strataconf ... hasn’t it been always the case?\tCompound 0.168 Negative 0.0 Neutral 0.93 Positive 0.07  \tCompound 0.168 Negative 0.0 Neutral 0.93 Positive 0.07  \n7wData\tethics\t#ethics and #security should be mandatory in #datascience training #Strataconf keynotes. Great point!\tCompound 0.69 Negative 0.0 Neutral 0.659 Positive 0.341  \tCompound 0.69 Negative 0.0 Neutral 0.659 Positive 0.341  \nAFontPerez\tDataWorks\tNew IBMbigdata Project #DataWorks ingests #BigData very fast, has pervasive #MachineLearning, #Collaboration https://t.co/Oxl51mWovX\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAFontPerez\tStrataHadoop\t#StrataHadoop DJ Patil dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  \tCompound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  \nAFontPerez\tStrataHadoop\t#StrataHadoop DJ Patil dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAFontPerez\tStrataHadoop\t#StrataHadoop DJ Patil dj44: every #DataScience training program must include #Ethics and #Security\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAFontPerez\tStrataHadoop\t#StrataHadoop DJ Patil dj44: you need to focus on the #individual - then you will always be right\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAFontPerez\tStrataHadoop\t#StrataHadoop Keynote DJ Patil dj44: technology is not radical or revolutionary unless it benefits everyone\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \nAFontPerez\tStratahadoop\t#Stratahadoop Keynote DJ Patil dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *all* Americans\tCompound 0.4588 Negative 0.0 Neutral 0.857 Positive 0.143  \tCompound 0.4588 Negative 0.0 Neutral 0.857 Positive 0.143  \nAFontPerez\tStratahadoop\t#Stratahadoop Keynote DJ Patil dj44: 35902 Americans died in 2015 on the roads. Call to #DataScientists to analyze data, find out why\tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \nASeigneurin\tStrataHadoop\tInspiring keynotes at #StrataHadoop today. All about improving healthcare, the jail system, access to information... Not just about data.\tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \nASeigneurin\tstratahadoop\tRT @cabralens: Investigative journalism needs technology to bring the powerful to account. #stratahadoop wanna help @ICIJorg? https://t.co/…\tCompound 0.7059 Negative 0.0 Neutral 0.719 Positive 0.281  \tCompound 0.7059 Negative 0.0 Neutral 0.719 Positive 0.281  \nAlbCarrascal\tAI\tOne Hundred Year Study on Artificial Intelligence (2016 Report) https://t.co/LxODzZjD0S  #AI #MachineLearning https://t.co/ia1IdKLsi4\tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \nAlexandreMAAlle\tanalytics\tWant to hear about these topics? #analytics #BigData #MachineLearning #DataScience #Watson #ibmwow #Predictive #BI… https://t.co/hyWenA6s0A\tCompound 0.168 Negative 0.0 Neutral 0.894 Positive 0.106  \tCompound 0.168 Negative 0.0 Neutral 0.894 Positive 0.106  \nAmencort\tApacheSpot\tRT @NETCheckSA: Meet #ApacheSpot, a new #opensource project for #cybersecurity https://t.co/ylGMeRHJJH #BigData #MachineLearning\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAmyVGaskins\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \nAnaMEcheverri\tBigSQL\tYou can now use IBM #BigSQL on @Hortonworks Data Platform #hadoop #sqlhadoop #bigdata https://t.co/Khb1BUH4Rc\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAnalyticsVidhya\tNeuralNetworks\tDifficult to understand #NeuralNetworks even if skilled in #MachineLearning &amp; Data Science?https://t.co/pywDEQW78o https://t.co/4agb86SvE3\tCompound -0.3612 Negative 0.217 Neutral 0.783 Positive 0.0  \tCompound -0.3612 Negative 0.217 Neutral 0.783 Positive 0.0  \nAndiMann\tMachineLearning\t.@DunkinDonuts is using #MachineLearning with @Splunk to predict sales, manage inventory, market directly to custom… https://t.co/WocvsqAHIk\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAndiMann\tMachineLearning\t.@Splunk Incorporates #MachineLearning to Aid #Security Monitoring and #DevOps Workflows  https://t.co/zKNhFohhDQ via @thenewstack\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAndrei_wx\tBigData\tWhat StatWeather clients and publications have said: #BigData #datascience #MachineLearning #energy #weather #finance #markets #entrepreneur\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAndrei_wx\tDataMining\t***Benefits of #DataMining Applied To #Weather*** #BigData #Innovation #MachineLearning #PredictiveAnalytics… https://t.co/ZhKJSuXnkt\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAndrei_wx\tMathematics\tWho is StatWeather? #Mathematics #Meteorology #ComputerScience #FinancialRisk #PredictiveStatistics… https://t.co/tMoe6V5nvA\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAndrei_wx\tlongrangeforecasting\t\"You guys definitely r the best in #longrangeforecasting.\" 3-year repeat subscriber #BigData #datascience #MachineLearning #energy #weather\tCompound 0.7845 Negative 0.0 Neutral 0.653 Positive 0.347  \tCompound 0.7845 Negative 0.0 Neutral 0.653 Positive 0.347  \nAndySchaul\tStrataHadoop\tA beautiful portrayal of big data, graphs &amp; 🌽🌽🌽 genetics from @TimWilliate &amp; @emileifrem at #StrataHadoop: https://t.co/dIvDMRb5Xz #neo4j\tCompound 0.5994 Negative 0.0 Neutral 0.606 Positive 0.394  \tCompound 0.5994 Negative 0.0 Neutral 0.606 Positive 0.394  \nArkangelScrap\tBigData\tRT @KirkDBorne: How #BigData &amp; the #IoT Create #SmartCities: https://t.co/TlelSAh03Z #abdsc #Analytics #DataScience #MachineLearning #AI ht…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nAvisank\tBigData\tRT @marcusborba: Watching U.S. Chief Data Scientist  DJ Patil @DJ44 live at @strataconf https://t.co/ClxQB14UNf #BigData #Analytics #DataSc…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nB2BNewsNetwork\tdatascience\tRT @strataconf: Up next, @LynnOvermann &amp; @DJ44 provide a #datascience view from the White House. We are live streaming at https://t.co/Gq1d…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBIScorecard\tMachineLearning\t@bradgro gr8 points \"If algorithms learn from users, but the users are mostly men, what are the #MachineLearning\" https://t.co/8GXyLagUAP\tCompound 0.3291 Negative 0.0 Neutral 0.885 Positive 0.115  \tCompound 0.3291 Negative 0.0 Neutral 0.885 Positive 0.115  \nBeTheMedia\tCDO\tThanks @DJ44 and your team for all your great work in the public interest as Chief Data Officer #CDO @WhiteHouse… https://t.co/xtnaVmOmvO\tnull\tCompound 0.875 Negative 0.0 Neutral 0.643 Positive 0.357  \nBeTheMedia\tStrataHadoop\tGreat keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the… https://t.co/Bd0ZBN99pN\tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \nBenGreenbergNYC\tAzure\tRT @Azure: MSFT updates #Azure #HDInsight to make #Hadoop in the cloud secure and fast. #StrataHadoop https://t.co/XPjGoTqsWi\tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \nBertLatamore\tAI\t#AI should be defined as augmented intelligence. @AB_HI_ #Tereseta #theCUBE ... #stratahadoop https://t.co/qHwCDxQLb7\tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \nBertLatamore\tAg\t#Ag, #MFRing, #Services are the 3 big tiers of economy. @AB_HI_ #Tereseta #theCUBE ... #stratahadoop https://t.co/zmRfcbhqtY\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tHadoop\tAlso support transactions. U can sync new records from other databases to #Hadoop in real time. @... #stratahadoop https://t.co/FsI1m8aIlI\tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \nBertLatamore\tHadoop\tClients can move their data warehouses on top of #Hadoop. @Yuanhao #theCUBE ... #stratahadoop https://t.co/3oGDihIsg2\tCompound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  \tCompound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  \nBertLatamore\tIoT\tAlso have an #IoT engine running on top of #Hadoop. @Yuanhao #theCUBE https://t.co/N72174hbtg #stratahadoop https://t.co/XHyKDqtLR6\tCompound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  \tCompound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  \nBertLatamore\tMPP\tAn #MPP compatible with #Oracle is very unusual. @GGilbert41 #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/V2ZVVWME8T\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tOpenSource\t#OpenSource software will lead the world. Very thin margins. @AB_HI_ #Tereseta #theCUBE ... #stratahadoop https://t.co/S1tNYWxrHg\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tOpenSource\tIf #OpenSource becomes this enormous platform that allows tools and talent to raise the bar, it w... #stratahadoop https://t.co/04TWK4A8ZI\tCompound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  \tCompound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  \nBertLatamore\tOpenSource\tIn #OpenSource U had thousands of people who understood what #Linux was &amp; were happy to help diff... #stratahadoop https://t.co/lQBy9Jh0Gt\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tOracle\tAll the logic from #Oracle #DB2 can be moved to our platform with no changes. @Yuanhao #Transwarp... #stratahadoop https://t.co/C4PdfShN5M\tCompound -0.296 Negative 0.109 Neutral 0.891 Positive 0.0  \tCompound -0.296 Negative 0.109 Neutral 0.891 Positive 0.0  \nBertLatamore\tOracle\tRecreated the #Oracle extension to #SQL for query optimization. @Yuanhao #Transwarp #theCUBE ... #stratahadoop https://t.co/9fEw8I1SFB\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \nBertLatamore\tRedHat\tI think we still may see #RedHat becoming the #Hadoop big player. @AB_HI_ #Tereseta #theCUBE ... #stratahadoop https://t.co/MmuAgRkbBO\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tService\tWe are seeing the start of a #Service economy @AB_HI_ #Tereseta #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/3NLGaTZ9Yo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tSpark\tA lightweight core of #Spark is at the base of our product. @Yuanhao #Transwarp #theCUBE ... #stratahadoop https://t.co/MwsB5rcnf7\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tSpark\tAll our customers also run #Spark @Yuanhao #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/cJn1qkzFHL\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tSpark\tOur engine is built on top of #Spark. @Yuanhao #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/Cje1tMCNhQ\tCompound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  \nBertLatamore\tStrataHadoop\tRT @armand_ruiz: This is how people learn about IBM Data Science Experience in #StrataHadoop https://t.co/ihIhnwiNBv\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tTeres\twe said 7 years ago that this would be trillions in disruption. And we were right. @AB_HI_ #Teres... #stratahadoop https://t.co/uWVjv1KN5U\tCompound -0.3612 Negative 0.122 Neutral 0.878 Positive 0.0  \tCompound -0.3612 Negative 0.122 Neutral 0.878 Positive 0.0  \nBertLatamore\tTereseta\tHow can we solve problems &amp; make human lives better? @AB_HI_ #Tereseta #theCUBE ... #stratahadoop https://t.co/Fd6iwcHWHU\tCompound -0.2263 Negative 0.318 Neutral 0.471 Positive 0.212  \tCompound -0.2263 Negative 0.318 Neutral 0.471 Positive 0.212  \nBertLatamore\tTereseta\tI want to be known for enriching life. @AB_HI_ #Tereseta #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/N7cURt70w9\tCompound 0.0772 Negative 0.0 Neutral 0.902 Positive 0.098  \tCompound 0.0772 Negative 0.0 Neutral 0.902 Positive 0.098  \nBertLatamore\tTereseta\tTechnology has to be free, open, easily available to be revolutionary. @AB_HI_ #Tereseta #theCUBE... #stratahadoop https://t.co/qke55KcMMx\tCompound 0.6908 Negative 0.0 Neutral 0.711 Positive 0.289  \tCompound 0.6908 Negative 0.0 Neutral 0.711 Positive 0.289  \nBertLatamore\tTereseta\tThe money sits in tools &amp; talent. That is where we have been successful. @AB_HI_ #Tereseta #theCU... #stratahadoop https://t.co/uq3kqgBsYr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tTereseta\tWe entered healthcare 6 months ago. So we have wealth &amp; health. @AB_HI_ #Tereseta #theCUBE ... #stratahadoop https://t.co/Aq3J587XXr\tCompound 0.5367 Negative 0.0 Neutral 0.722 Positive 0.278  \tCompound 0.5367 Negative 0.0 Neutral 0.722 Positive 0.278  \nBertLatamore\tTereseta\tWe will have things that will make intelligent things even more intelligent. @AB_HI_ #Tereseta #t... #stratahadoop https://t.co/4bWC5Gxje6\tCompound 0.7184 Negative 0.0 Neutral 0.714 Positive 0.286  \tCompound 0.7184 Negative 0.0 Neutral 0.714 Positive 0.286  \nBertLatamore\tTranswarp\t#Transwarp founded in #China in 2015. Providing #Hadoop distribution, database layer, #SQL engine... #stratahadoop https://t.co/8l9b71od5r\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tTranswarp\tA query optimizer that does queries in the right order to get the most done. @Yuanhao #Transwarp ... #stratahadoop https://t.co/nS07hplpYe\tCompound 0.3612 Negative 0.0 Neutral 0.878 Positive 0.122  \tCompound 0.3612 Negative 0.0 Neutral 0.878 Positive 0.122  \nBertLatamore\tTranswarp\tWe can run the queries in parallel. Automate all procedures. @Yuanhao #Transwarp #theCUBE ... #stratahadoop https://t.co/qAQkNVWmyf\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tTranswarpTechnology\t#TranswarpTechnology Inc. #Cofounder #CTO @Yuanhao Sun live now on #theCUBE ... #stratahadoop https://t.co/SJRZN78s7q\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tWikibon\t#Wikibon’s @DVellante, @PLBurris &amp; @Jeff Frick &amp; #Treseta Founder Abhi Mehta @AB_HI_ kick off day... #stratahadoop https://t.co/B6N3J7W3k3\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tstratahadoop\tMy concern is the tasks will be automated for everybody &amp; everybody will have a chance to pick up... #stratahadoop https://t.co/wzCTfdcQH1\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tstratahadoop\tWe will not sell anything that is transformational. The money sits in the tools to detect fraud, ... #stratahadoop https://t.co/6mJ0HVPwll\tCompound -0.5859 Negative 0.167 Neutral 0.833 Positive 0.0  \tCompound -0.5859 Negative 0.167 Neutral 0.833 Positive 0.0  \nBertLatamore\tstratahadoop\tevery banking model, every healthcare model, every transportation model will be redone based on t... #stratahadoop https://t.co/7LSLMyxx5S\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\tth\tWe will be able to solve problems that have been intractable since time immemorial. @PLBurris #th... #stratahadoop https://t.co/OWc7QyISli\tCompound -0.2263 Negative 0.132 Neutral 0.78 Positive 0.088  \tCompound -0.2263 Negative 0.132 Neutral 0.78 Positive 0.088  \nBertLatamore\ttheCU\tOur goal is to create a 1 stop platform so all company data is stored in 1 place. @Yuanhao #theCU... #stratahadoop https://t.co/mKH1J11oLP\tCompound -0.0258 Negative 0.103 Neutral 0.798 Positive 0.099  \tCompound -0.0258 Negative 0.103 Neutral 0.798 Positive 0.099  \nBertLatamore\ttheCUBE\t$40T economy in 10 yrs, $1T+ of that disruptive. @PLBurris #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/rX0xKqsatO\tCompound -0.3182 Negative 0.15 Neutral 0.85 Positive 0.0  \tCompound -0.3182 Negative 0.15 Neutral 0.85 Positive 0.0  \nBertLatamore\ttheCUBE\tCan do interaction analysis on that 1 daetabase. @Yuanhao #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/G7ObYu14gF\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\ttheCUBE\tI would not have predicted that it would become so big so quickly. @AB_HI_ #theCUBE ... #stratahadoop https://t.co/3fHC3ZjlHl\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBertLatamore\ttheCUBE\tit is always nice when you are right. @AB_HI_ #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/0iPdwlpucg\tCompound 0.4215 Negative 0.0 Neutral 0.811 Positive 0.189  \tCompound 0.4215 Negative 0.0 Neutral 0.811 Positive 0.189  \nBigDataBRA\tBigData\tRT @KirkDBorne: How #BigData &amp; the #IoT Create #SmartCities: https://t.co/TlelSAh03Z #abdsc #Analytics #DataScience #MachineLearning #AI ht…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBigDataBRA\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \nBigdata_max\tbigdata\t#bigdata Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \nBimalTandel\tStrataHadoop\tRT @ClouderaEvents: 20% of @Cloudera customer workloads are now in the cloud - Tom Reilly #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBimalTandel\tStrataHadoop\tRT @Oracle: Tired of waiting in lines for a taxi? The wait is over! Ride in style in an Oracle Tesla. Free for #StrataHadoop attendees! #Or…\tCompound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  \tCompound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  \nBimalTandel\tStrataHadoop\tRT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBimalTandel\tStrataHadoop\tRT @zeroshade: When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", @OReillyMedia matched all the donations and ra…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBimalTandel\tdatalake\tRT @tweet_anwesa: The marketing ladies with the Marketing Data Lake bible and our sweet little mascot @INFA_BD #datalake. Check us out at #…\tCompound 0.4588 Negative 0.0 Neutral 0.88 Positive 0.12  \tCompound 0.4588 Negative 0.0 Neutral 0.88 Positive 0.12  \nBinaryLawyer\tMachineLearning\tAn Introduction to Model-Based #MachineLearning https://t.co/wS7SsU6Xk7 #ml #ai #artificialintelligence https://t.co/KaVVl0cZX2\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBobYelland\tBigData\tRT @marcusborba: Watching U.S. Chief Data Scientist  DJ Patil @DJ44 live at @strataconf https://t.co/ClxQB14UNf #BigData #Analytics #DataSc…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBobYelland\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \nBobYelland\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBobYelland\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *al…\tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \nBsafestrategies\tMachineLearning\tRT @StephanieJNeal: Algorithms of the Mind—How #MachineLearning Teaches Us About Ourselves https://t.co/esW3iBzymE #hr #ml @arimoinc https:…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nBuySideTech\tMachineLearning\tWaters Wavelength 37: @CBOE @BatsGlobal Deal, #MachineLearning for #socialmedia via @dandefrancesco + @A_Malakian https://t.co/xBg2TAAynX\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nCDOSummit\tCDO\tThanks @DJ44 and your team for all your great work in the public interest as Chief Data Officer #CDO @WhiteHouse… https://t.co/j8GmW9TwwC\tnull\tCompound 0.875 Negative 0.0 Neutral 0.643 Positive 0.357  \nCDOSummit\tStrataHadoop\tGreat keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the… https://t.co/S3h2wEmIIK\tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \nCK_Sartre\tMachineLearning\tHow #MachineLearning analytics can accelerate #IoT results: https://t.co/2tXs8OPM3z #Analytics\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nCRSSULL\tStrataHadoop\tRT @HDPartnerworks: #StrataHadoop NYC is here! Meet @DellEMC @Pivotal and @IBM at our booth #409 today: https://t.co/whTi7NK3qR  #futureofd…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nCamSemantics\tStrataHadoop\tRT @mloughlin: Last day for @CamSemantics at #StrataHadoop , come by to learn about the smart #datalake booth 564\tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \nCentre_cloud_ca\tstratahadoop\tRT @KnowledgeBishop: \"Today, machine learning is used ON us, not BY us.\" - @acroll #stratahadoop #AI #MachineLearning @INFA_BD https://t.co…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nChoobahJobs\tCopenhagen\thttps://t.co/kNKvZ71Y4I We are hiring, Test Automation Engineer with Experience in Big Data / Hadoop? in #Copenhagen salary #Choobah #Jobs\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nChrisSeminoff\tStrataHadoop\tbigdata: Two neuroscientists SamWangPhD GaryMarcus about to speak on the main stage at #StrataHadoop https://t.co/YA8zYDJvOQ\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nChrisSeminoff\tstratahadoop\tbigdata: Apply to speak at #stratahadoop San Jose 2017 🗣🎙 Deadline is TOMORROW - Sept 30th 🗓🕛 … https://t.co/LwlVdnJtHv\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nCiscoEIR\tStrataHadoop\t#StrataHadoop NYC 2016 brings announcement from #CiscoEIR alum #startup @Zoomdata. https://t.co/rOEj2p8Tx0\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nCloudOps_\tstratahadoop\tRT @KnowledgeBishop: \"Today, machine learning is used ON us, not BY us.\" - @acroll #stratahadoop #AI #MachineLearning @INFA_BD https://t.co…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nCloudOps_\tstratahadoop\tRT @acroll: #stratahadoop tackled polling flaws; venture gender bias; predictive policing ethics; healthcare myths; data journalism.  Great…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nClouderaEvents\tStrataHadoop\tRT @kathykmy: .@DJ44 addresses #StrataHadoop the last time as US Chief #DataScientist: \"We need you--a voice from the data commuinty at the…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nClouderaEvents\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nClouderaEvents\tStrataHadoop\tRT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \nClouderaZach\tPrecisionMedicine\tNEWS: @Cloudera Announces 1st Grant Applications as part of the #PrecisionMedicine Initiative https://t.co/KALFpCWWVf #Cloudera #Hadoop #NYC\tCompound 0.3612 Negative 0.0 Neutral 0.857 Positive 0.143  \tCompound 0.3612 Negative 0.0 Neutral 0.857 Positive 0.143  \nDABCC\tHadoop\tHadoop Customers Turn to Dell EMC for Broad Portfolio Options - https://t.co/blkUw5w0t9 #Hadoop #Dell\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDHenschen\tStrataHadoop\tRT @nrouda: Wow, 1.09 PB scanned in roughly 3.5 minutes by @googlecloud BigQuery cloud data warehouse. #StrataHadoop\tCompound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  \tCompound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  \nDHenschen\tStrataHadoop\tRT @tashay_g: Next up DJ Patil @DJ44, talking about the use of data for initiatives at The White House #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDHenschen\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44: 35902 Americans died in 2015 on the roads. Call to #DataScientists to analyze data, fi…\tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \nDHenschen\tstratahadoop\tGreat talk on White House Data-Driven Justice Initiative  #stratahadoop @DJ44 Miami-Dade, FL used data to ID  mentally ill, unburden jails.\tCompound 0.6908 Negative 0.103 Neutral 0.623 Positive 0.275  \tCompound 0.6908 Negative 0.103 Neutral 0.623 Positive 0.275  \nDHenschen\tstratahadoop\tNext at #stratahadoop is Chad Jennings of @googlecloud on Google Big Query for Enterprise with flat-rate pricing https://t.co/Z2CXI5hHV9\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nData4Bots\tmachinelearning\tRT @JulienDriod: Machine Learning 101 from The Mad Scientist @Data4Bots https://t.co/XueY00kHf1 #machinelearning #bigdata #analytics #ai #r…\tCompound -0.4939 Negative 0.176 Neutral 0.824 Positive 0.0  \tCompound -0.4939 Negative 0.176 Neutral 0.824 Positive 0.0  \nDataAndUs\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \nDataCentreNews1\tDataScience\thttps://t.co/AIjAkUMrYt #DataScience #Weka(machinelearning) https://t.co/hkl0OXPcu6\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDataMic\tAzure\tNice updates to #Azure #HDInsight announced at #StrataHadoop. https://t.co/U2214jeA62 #BigData #Cloud #ApacheSpark\tCompound 0.4215 Negative 0.0 Neutral 0.797 Positive 0.203  \tCompound 0.4215 Negative 0.0 Neutral 0.797 Positive 0.203  \nDataRobot\tDataScience\tRT @mikehking: \"#DataScience only works when business people ask the right questions and take action with the answers\" @DataRobot #StrataHa…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDatabases101\tDatabases\t#Databases  #analyze Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think …\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDatabases1234\tDatabases\t#Databases  #ethics and #security should be mandatory in #datascience training #Strataconf keynotes. Great point!  — 7wdata (7wData) Septem…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDatabases1234\tDatabases\t#Databases  Here’s Watson again #data usage in a Virtual reality mode #ibm #DataFirst #DataWorks #Strataconf  — 7wdata (7wData) September 2…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDatabases1234\tDatabases\t#Databases  Moving #data from CPU to memory, we now face new challenges. Moving #information into humans #Strataconf ... hasn’t it been alw…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDatabases4unow\tanalyze\t#analyze Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \nDatabases__pro\tDatabases\t#Databases  Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data Firs…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDatabases__pro\tDatabases\t#Databases  Rob Thomas #IBM demo Project DataWorks &amp; Data Science Experience #StrataHadoop #DataFirst https://t.co/BpO2D1BQkw  — IBM Big D…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDatagrrl\tStrataHadoop\tRT @nrouda: Rio Olympics powered by @cisco big data, @tobranno showing all the connections as a juicy attack target. #StrataHadoop #stratac…\tCompound -0.4767 Negative 0.14 Neutral 0.86 Positive 0.0  \tCompound -0.4767 Negative 0.14 Neutral 0.86 Positive 0.0  \nDatagrrl\tStrataHadoop\tRT @schmiani: White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDatagrrl\tstratahadoop\tRT @DHenschen: Great talk on White House Data-Driven Justice Initiative  #stratahadoop @DJ44 Miami-Dade, FL used data to ID  mentally ill,…\tCompound 0.8176 Negative 0.0 Neutral 0.706 Positive 0.294  \tCompound 0.8176 Negative 0.0 Neutral 0.706 Positive 0.294  \nDavis_Bill\tstratahadoop\tRT @SASsoftware: Catch @hornpolish present SAS: More Open Than You Might Think on the main stage at #stratahadoop at 10:15am. https://t.co/…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDebraYamashita\tStrataHadoop\tRT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \nDee_Marketing\tStrataHadoop\tRT @strataconf: .@GaryMarcus on stage at #StrataHadoop: From #bigdata to human-level #artificialintelligence. Watch live at https://t.co/Gq…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDeepLearn007\tMarketing\t5 #Marketing Technology Trends to Expect at Dreamforce 2016 #MachineLearning https://t.co/uXWr3TWoLw\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDevenPuri\tMachineLearning\tRT @ipfconline1: 50 Useful #MachineLearning and #DataScience Resources + Articles https://t.co/BUqmjaoTOV @DataScienceCtrl @dataiku https:/…\tCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \tCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \nDikkoShehu\tDataScience\tRT @KirkDBorne: Using #DataScience and #MachineLearning to Revolutionize 360° Customer Views: https://t.co/5Eiko3A0OE #BigData #CX by @caro…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDikkoShehu\tHacker\tRT @CyberToolsBooks: Hadoop Operations If you’ve been asked to main https://t.co/c5aCwg4Q2e #Hacker #Cyberwar https://t.co/ahMSx46n10 https…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDrAndyPardoe\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *al…\tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \nDrZeydy\tDataScience\tRT @reshamas: Every #DataScience training program must include: 1) Ethics 2) Security @DJ44 #StrataHadoop https://t.co/6Tvu0zvpjC\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDrZeydy\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *al…\tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \nDrZeydy\tdatascience\tRT @strataconf: Up next, @LynnOvermann &amp; @DJ44 provide a #datascience view from the White House. We are live streaming at https://t.co/Gq1d…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDrZeydy\tstrataconf\t\"We have to make technology work for us, not against us\" - @DJ44 #strataconf\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nDstillery\tmachinelearning\tHow is #machinelearning applied to #advertising? Chief Scientist @claudia_perlich is sharing at the Evercore #AI Symposium this morning!\tCompound 0.4753 Negative 0.0 Neutral 0.846 Positive 0.154  \tCompound 0.4753 Negative 0.0 Neutral 0.846 Positive 0.154  \nEmad_Alsa\tStrataHadoop\tData support of medical advancements in prosthetic #StrataHadoop https://t.co/8shh6KxWRI\tCompound 0.4019 Negative 0.0 Neutral 0.748 Positive 0.252  \tCompound 0.4019 Negative 0.0 Neutral 0.748 Positive 0.252  \nEmilyHHo\tStrataHadoop\t@LynnOvermann of @WhiteHouse : 3 biggest mental health centers are jails.  #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nEmilyHHo\tdatadrivenjustice\t@LynnOvermann of @WhiteHouse : \"criminal justice as de-facto social service provider\" #datadrivenjustice #StrataHadoop\tCompound 0.0 Negative 0.202 Neutral 0.595 Positive 0.202  \tCompound 0.0 Negative 0.202 Neutral 0.595 Positive 0.202  \nEnricoVerga\tfoodtech\tRT @OpenMenu: OpenMenu Insights is coming. Machine Learning + NLP + Big Data = A better understanding  #foodtech #restauranttech #MachineLe…\tCompound 0.4404 Negative 0.0 Neutral 0.838 Positive 0.162  \tCompound 0.4404 Negative 0.0 Neutral 0.838 Positive 0.162  \nEvanMarcusESG\tBigData\tRT @Informatica: \"You must empower your users to release their #BigData Super-Powers!\" - Chad Jennings, Google at #StrataHadoop https://t.c…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nEvanMarcusESG\tStrataHadoop\t.@dj44 1. Edge cases matter. 2. Data science training must include ethics &amp; security. 3. We need help from this community. #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.916 Positive 0.084  \tCompound 0.0258 Negative 0.0 Neutral 0.916 Positive 0.084  \nEvanMarcusESG\tStrataHadoop\tA technology is neither radical not revolutionary unless it benefits EVERYONE! -- DJ Patil #StrataHadoop\tCompound 0.4389 Negative 0.0 Neutral 0.818 Positive 0.182  \tCompound 0.4389 Negative 0.0 Neutral 0.818 Positive 0.182  \nEvanMarcusESG\tStrataHadoop\tAmazing video on analyzing data with augmented reality #StrataHadoop https://t.co/yLGMZXBeGh\tCompound 0.5859 Negative 0.0 Neutral 0.703 Positive 0.297  \tCompound 0.5859 Negative 0.0 Neutral 0.703 Positive 0.297  \nEvanMarcusESG\tStrataHadoop\tJust saw @Googlecloud Big Query search 1.9 petabytes of data in 3.5 minutes. Wow! #StrataHadoop\tCompound 0.6239 Negative 0.0 Neutral 0.774 Positive 0.226  \tCompound 0.6239 Negative 0.0 Neutral 0.774 Positive 0.226  \nEvanMarcusESG\tStrataHadoop\tNever seen this approach to keynotes before. A series of 5-10 minute talks rather than 60-90 minute talks. Love it. #StrataHadoop\tCompound 0.6369 Negative 0.0 Neutral 0.819 Positive 0.181  \tCompound 0.6369 Negative 0.0 Neutral 0.819 Positive 0.181  \nEvanMarcusESG\tStrataHadoop\tRT @mijopo: Tech behind biggest journalism leak in history. #StrataHadoop https://t.co/Rea1gXuTA8\tCompound -0.34 Negative 0.194 Neutral 0.806 Positive 0.0  \tCompound -0.34 Negative 0.194 Neutral 0.806 Positive 0.0  \nEvanMarcusESG\twimlds\tRT @wimlds: Over $15K raised for #wimlds | THANK YOU @OReillyMedia &amp; @cloudera &amp; #StrataHadoop attendees.  We appreciate your support 👏 htt…\tCompound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  \tCompound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  \nEvents_AI\tmachinelearning\tRT @msftfinserv: Want to see how #machinelearning and #AI can improve customer service? Watch our #Sibos solution demo https://t.co/bxXe41J…\tCompound 0.7059 Negative 0.0 Neutral 0.7 Positive 0.3  \tCompound 0.7059 Negative 0.0 Neutral 0.7 Positive 0.3  \nFDimina\tMachineLearning\tSplunk + #MachineLearning = something great. Read why in @InfoWorld https://t.co/TxAl29o5PT via @syegulalp\tCompound 0.6249 Negative 0.0 Neutral 0.709 Positive 0.291  \tCompound 0.6249 Negative 0.0 Neutral 0.709 Positive 0.291  \nFFontanot\tStrataHadoop\tNext up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"\tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \nFuturologyBot\tchat\tRT @TomoboxHQ: .@ted_livingston The future of #chat IS #AI. Without #AI , #chat is just the #plumbing  #Chatbots #MachineLearning https://t…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nGavLaaaaaaaa\tBigData\tStart your #BigData Journey with #Cloudera, #Docker and #Pentaho BA https://t.co/DDWvbs7Xhh #hadoop https://t.co/7WILXBNaXv\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nGiumanLuca\tGoogle\tRT @peterdeka: #Google unleashes #deeplearning tech on language with Neural Machine Translation #machinelearning #AI - https://t.co/9uq0wgP…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nHARMANservices\tIoT\tIndustrial #IoT is transforming business practices. Check out 6 ways #machinelearning drives profit and performance https://t.co/0uN5WcWpa1\tCompound 0.4404 Negative 0.0 Neutral 0.828 Positive 0.172  \tCompound 0.4404 Negative 0.0 Neutral 0.828 Positive 0.172  \nHDPartnerworks\tBigData\tGet the inside scoop on why @Hortonworks is collaborating with @Microsoft on #BigData and #Cloud? https://t.co/Y3T3Stzybo\tCompound 0.1531 Negative 0.0 Neutral 0.904 Positive 0.096  \tCompound 0.1531 Negative 0.0 Neutral 0.904 Positive 0.096  \nHamir_Nandaniya\tbots\tSlice through the hype to make bots work for your brand https://t.co/DTHNgFGN9x #bots #AI #chatbots #tech #IoT… https://t.co/u3h0bmpm31\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nHeathJigga\tHPE\tThe #HPE #BigData team is going to #StrataHadoop. Learn how to catch up with them in NYC. https://t.co/yaOsWLksYw https://t.co/HsD5tEPjN8\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nIALTnetwork\tGoogle\tRT @peterdeka: #Google unleashes #deeplearning tech on language with Neural Machine Translation #machinelearning #AI - https://t.co/9uq0wgP…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nIBMDataScience\tStrataHadoop\tRT @udayte: .@robdthomas demoing an augmented reality demo at #StrataHadoop https://t.co/6Bf2Piko6N\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nIBMbigdata\tStrataHadoop\tNext up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"\tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \nINFA_BD\tBigData\t\"Just as #BigData gives cloud something to do, #MachineLearning gives Big Data something to do.\" - @acroll #stratahadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nINFA_BD\tStrataHadoop\tAt #StrataHadoop? Come talk to @Informatica in booth #445 about powering your business with Data Lakes https://t.co/5obNYh9DfF\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nINFA_BD\tStrataHadoop\tLIVE at #StrataHadoop: @Cisco Director @tobranno talks about blocking 23 million #cyberattacks at the connected Rio… https://t.co/GsuL5jqUvr\tCompound -0.3818 Negative 0.14 Neutral 0.86 Positive 0.0  \tCompound -0.3818 Negative 0.14 Neutral 0.86 Positive 0.0  \nINFA_BD\tStrataHadoop\tLIVE at #StrataHadoop: @Lynnovermann shares the need to use #DataSciencea to transform the US criminal justice syst… https://t.co/EYbH3sb9zD\tCompound 0.296 Negative 0.142 Neutral 0.625 Positive 0.233  \tCompound 0.296 Negative 0.142 Neutral 0.625 Positive 0.233  \nINFA_BD\tStrataHadoop\tLIVE from #StrataHadoop: @dj44 gives a view of \"Data Science from the White House\" #GovIT https://t.co/rBlOMnClRT\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nINFA_BD\tdata\t\"Our mission is to make #data simple and accessible to the world.\" - @robdthomas at #StrataHadoop https://t.co/1SWSOxrEWR\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nIRMUK\tirmuk\tSept Edtn: Data Modelling, Enterprise Design, Hadoop User Community, Enterprise Architecture, Agile, Brexit #irmuk https://t.co/JLhXMixixw\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nIamGoka4\tBigData\tRT @Informatica: \"You must empower your users to release their #BigData Super-Powers!\" - Chad Jennings, Google at #StrataHadoop https://t.c…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nImDataScientist\tmachinelearning\thttps://t.co/xR7u3OpckG - indiedb-articles - #machinelearning #datascience #computing #indiegogo #java #ces2016 ... https://t.co/5rovNKCEd1\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nInformatica\tBigData\t\"You must empower your users to release their #BigData Super-Powers!\" - Chad Jennings, Google at #StrataHadoop https://t.co/yfYqC1YRhQ\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nIntTechAU\tAzure\tMSCloud: MSFT updates #Azure #HDInsight to make #Hadoop in the cloud secure and fast. #StrataHadoop https://t.co/wOB1tfbGum\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \nIntelITCenter\tStrataHadoop\t.@_NidhiC shares how Nervana and Intel will drive the future of AI: https://t.co/7HsHO10TFA #StrataHadoop\tCompound 0.296 Negative 0.0 Neutral 0.855 Positive 0.145  \tCompound 0.296 Negative 0.0 Neutral 0.855 Positive 0.145  \nIntelITCenter\tStrataHadoop\tFaster machine learning data models using Intel Performance Libraries. Get started here: https://t.co/qqDIM9jYYl #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nIntelITCenter\tStrataHadoop\tHarness the power of technology &amp; data science skills in Apache and detect unknown threats. https://t.co/s0x0FYe81h #StrataHadoop #Intel\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nIpponUSA\tAR\tRT @lheritier: Impressive immersive #AR data visualization and remote collab by IBM @robdthomas #StrataHadoop https://t.co/08Hv7sdPep\tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \nIpponUSA\tStrataHadoop\tRT @ASeigneurin: Inspiring keynotes at #StrataHadoop today. All about improving healthcare, the jail system, access to information... Not j…\tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \nIrmaRaste\tschizophrenia\tRT @JohnTorousMD: Wow! Predicting treatment outcome in first-episode #schizophrenia patients up to 52 weeks, via #MachineLearning in-&gt; http…\tCompound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  \tCompound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  \nJAHC14\tAnalytics\tRT @DataRPM: @DataRPM wins Drexel &amp; @CIOonline #Analytics 50 winners category https://t.co/gMTYrmAZpy #IIoT #BigData #DataScience #MachineL…\tCompound 0.5719 Negative 0.0 Neutral 0.575 Positive 0.425  \tCompound 0.5719 Negative 0.0 Neutral 0.575 Positive 0.425  \nJDRugna\tBigData\t#BigData Announcing IBM Big SQL on Hortonworks Data Platform https://t.co/9kw3nZIhUu\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nJohnEhrlinger\tStrataHadoop\tBoat party at #StrataHadoop last night. https://t.co/dkbtqCbJWD\tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \nJohnEhrlinger\tStrataHadoop\tGary Marcus slowing down the AI hype train. Deep learning is only a PIECE of the whole AI puzzle. #StrataHadoop\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nJohnTorousMD\tschizophrenia\tWow! Predicting treatment outcome in first-episode #schizophrenia patients up to 52 weeks, via #MachineLearning in-… https://t.co/VBoAFpChQ2\tCompound 0.6239 Negative 0.0 Neutral 0.786 Positive 0.214  \tCompound 0.6239 Negative 0.0 Neutral 0.786 Positive 0.214  \nJordanTzvetkov\tDataScience\tRT @KirkDBorne: Using #DataScience and #MachineLearning to Revolutionize 360° Customer Views: https://t.co/5Eiko3A0OE #BigData #CX by @caro…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nJordanTzvetkov\tSmartCity\tRT @KirkDBorne: World’s most ambitious #SmartCity project: https://t.co/jHca0W8icQ #abdsc #BigData #DataScience #IoT #HudsonYards #MachineL…\tCompound 0.5794 Negative 0.0 Neutral 0.776 Positive 0.224  \tCompound 0.5794 Negative 0.0 Neutral 0.776 Positive 0.224  \nKalHiFornicated\tAI\t\"We have to create an ability of learning to learn.\" #AI #MachineLearning @a16z podcasts.\tCompound 0.5267 Negative 0.0 Neutral 0.732 Positive 0.268  \tCompound 0.5267 Negative 0.0 Neutral 0.732 Positive 0.268  \nKevin_Jackson\tBigDataNYC\t.@MHMarquisNYC is as awesome as ever! Thanks for the hookup! @trustedanalytic @intel @strataconf #BigDataNYC https://t.co/B0Nc3arBoO\tCompound 0.8217 Negative 0.0 Neutral 0.632 Positive 0.368  \tCompound 0.8217 Negative 0.0 Neutral 0.632 Positive 0.368  \nKhanolkarAA\tStrataHadoop\tRT @mikeloukides: A technology is neither radical nor revolutionary unless it benefits everyone. @dpatil #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \nKhanolkarAA\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44: 35902 Americans died in 2015 on the roads. Call to #DataScientists to analyze data, fi…\tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \nKhanolkarAA\tstratahadoop\tRT @acroll: @dmenningervr @Microsoft I am a huge fan of how @josephsirosh consistently brings great stories to the #stratahadoop stage.\tCompound 0.8271 Negative 0.0 Neutral 0.633 Positive 0.367  \tCompound 0.8271 Negative 0.0 Neutral 0.633 Positive 0.367  \nKineticaDB\tGPU\tInterested in #GPU-acceleration? @strataconf? Swing by @nvidia booth 233 10:40-11am to learn how #GPUs are changing the game #StrataHadoop\tCompound 0.4696 Negative 0.0 Neutral 0.855 Positive 0.145  \tCompound 0.4696 Negative 0.0 Neutral 0.855 Positive 0.145  \nLCGeeky\tHadoop\tRT @tamaradull: Why Not So #Hadoop?: A brief history and where it stands today | @kdnuggets https://t.co/y2a3YwwnBY https://t.co/kYjkBJ09SZ\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nLauTor83\twimlds\tRT @wimlds: Over $15K raised for #wimlds | THANK YOU @OReillyMedia &amp; @cloudera &amp; #StrataHadoop attendees.  We appreciate your support 👏 htt…\tCompound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  \tCompound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  \nLawrenceHecht\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nLibertyhere\tStrataHadoop\t\"Just like Big Data gave the Cloud something to do, Machine Learning has given Big Data something to do\". #StrataHadoop\tCompound 0.3612 Negative 0.0 Neutral 0.884 Positive 0.116  \tCompound 0.3612 Negative 0.0 Neutral 0.884 Positive 0.116  \nLibertyhere\tStrataHadoop\tThe \"new\" von neumann bottleneck is getting insights from the computer into the human brain. @IBMbigdata + @ApacheSpark #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nLisaPrassack\tbigdata\tLatest #bigdata forecast for the #harvest16 #corn crop From #Kernel for US Corn Sept 29, 2016 172.8 bu/acre  #agtech https://t.co/sZwWjEprXm\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nLuisGabGonzalez\tBigData\tRT @OracleBigData: 6 patterns of #BigData &amp; #Analytics adoption that drive value. https://t.co/aRYkYc8erj @IDC @Oracle #StrataHadoop https:…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nLuisGabGonzalez\tBigData\tRT @OracleBigData: Unlock the value within Big Data with @Oracle #BigData #Cloud https://t.co/3nb64ioR1f #StrataHadoop https://t.co/Q1aNHdo…\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \nMCanalytics\tanaconda\tStop by #anaconda #strataconf to see #Python #analytics in action! https://t.co/6BCmT1lLDV\tCompound -0.3595 Negative 0.199 Neutral 0.801 Positive 0.0  \tCompound -0.3595 Negative 0.199 Neutral 0.801 Positive 0.0  \nMDMGeek\tStrataHadoop\t3 breakthroughs of AI #StrataHadoop https://t.co/WVrksU2xJj\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nMackenzie_MacD\tStrataHadoop\tRT @strataconf: Day 2 of #StrataHadoop keynotes are starting now - @cutting @acroll &amp; @rogerm on stage. Watch live at https://t.co/Gq1dcmqk…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nManifattura40\tmachinelearning\tRT @noordinaryco: Machine Learning: Models with Learned Parameters https://t.co/wYmrD1Ge27 #machinelearning #AI https://t.co/p3t8n75Ko6\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nMarkAllen_Tech\tMachineLearning\tHow machine learning analytics can accelerate IoT results https://t.co/2jqsNErjeG  #MachineLearning #IoT\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nMarkHornick\tBigData\tOur #BigData Innovations help you manage data movement and integration https://t.co/0qeeoYHJxQ  #StrataHadoop\tCompound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  \tCompound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  \nMarkHornick\tBigData\tUnlock the value within Big Data with @Oracle #BigData #Cloud https://t.co/21nKiq9nzs  #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  \tCompound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  \nMartijnKieboom\tstrataconf\tRT @bornonjuly4: @mapr streams can also serve as a system of record for later audit. Interesting. #strataconf https://t.co/b2dfRjMDYp\tCompound 0.4019 Negative 0.0 Neutral 0.856 Positive 0.144  \tCompound 0.4019 Negative 0.0 Neutral 0.856 Positive 0.144  \nMathMusicMole\tStrataHadoop\tRT @Tamr_Inc: .@ihabilyas Tackling Machine-Learning Complexity for Data Curation today #StrataHadoop https://t.co/9N90GE218P https://t.co/j…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nMichaelBCurran\tmachinelearning\t@v_vashishta And what if that Data Scientist was a computer? #machinelearning\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nMickyga\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \nMikehSheppardi\tAI\tOne Hundred Year Study on Artificial Intelligence (2016 Report) https://t.co/El3k3UR1GU  #AI #MachineLearning https://t.co/jew6IMvDEt\tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \nMikehSheppardi\tinfiniteconf\tRT @skillsmatter: #infiniteconf moves to 6-7 July 2017 - CfP still open! #bigdata #datascience #deeplearning #machinelearning #AI #IoT http…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nMongoDB\tStrataHadoop\tAt #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Chicago!… https://t.co/0BDwKzHPL5\tCompound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  \tCompound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  \nMooredvdcoll\tNeuralNetworks\tRT @AnalyticsVidhya: Difficult to understand #NeuralNetworks even if skilled in #MachineLearning &amp; Data Science?https://t.co/pywDEQW78o htt…\tCompound -0.3612 Negative 0.185 Neutral 0.815 Positive 0.0  \tCompound -0.3612 Negative 0.185 Neutral 0.815 Positive 0.0  \nMrsCaroline_C\tMachineLearning\tYou Too Can Become a #MachineLearning Rock Star Even If You Do Not Have a PhD! Amazing artcile  v/@StevenLevy… https://t.co/QhJhSu0qRw\tCompound 0.6239 Negative 0.0 Neutral 0.806 Positive 0.194  \tCompound 0.6239 Negative 0.0 Neutral 0.806 Positive 0.194  \nMunicipal_Bank\tstratahadoop\tInvestigative journalism needs technology to bring the powerful to account. #stratahadoop wanna he... https://t.co/Tpkl5ptabo @cabralens\tnull\tCompound 0.4215 Negative 0.0 Neutral 0.833 Positive 0.167  \nNETCheckSA\tApacheSpot\tMeet #ApacheSpot, a new #opensource project for #cybersecurity https://t.co/ylGMeRHJJH #BigData #MachineLearning\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nNeuronme\tHadoop\tGood read this one is! Hadoop is dead, long live #Hadoop https://t.co/ABYSk3na8z via @Gartner_inc #etch #techblog #DataScience #programming\tnull\tCompound -0.4003 Negative 0.195 Neutral 0.681 Positive 0.123  \nOttLegalRebels\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \nOttLegalRebels\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nPaaSDev\tStrataConf\tPrecision Medicine Initiative | The White House https://t.co/NY2BuA3rvc #StrataConf\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nPaaSDev\tStrataHadoop\tHortonworks Supports the Precision Medicine Initiative - Hortonworks https://t.co/PpU4UD8ctj #StrataHadoop\tCompound 0.3612 Negative 0.0 Neutral 0.762 Positive 0.238  \tCompound 0.3612 Negative 0.0 Neutral 0.762 Positive 0.238  \nPairaphrasetech\tArtificialIntelligence\tMachine translation is about to get a whole lot better. #ArtificialIntelligence #machinetranslation #translationsoftware #MachineLearning\tCompound 0.4404 Negative 0.0 Neutral 0.805 Positive 0.195  \tCompound 0.4404 Negative 0.0 Neutral 0.805 Positive 0.195  \nPamCorcoran1\tDellEMC\tRT @ericamacdonald3: How are you going to use data to make your applications better? Come by the #DellEMC booth to learn more from @pivotal…\tnull\tCompound 0.504 Negative 0.0 Neutral 0.876 Positive 0.124  \nPassion4DataSci\tETL\tRT @BigData_Review: Yesterday, @Bitwise_Updates introduced an #ETL-like #DataIntegration tool for #Hadoop at #StrataHadoop. https://t.co/yK…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nPatrickLownds\tAzure\tRT @MSCloud: MSFT updates #Azure #HDInsight to make #Hadoop in the cloud secure and fast. #StrataHadoop https://t.co/09Gfh0dqBr\tCompound 0.34 Negative 0.0 Neutral 0.862 Positive 0.138  \tCompound 0.34 Negative 0.0 Neutral 0.862 Positive 0.138  \nPaulHowardMI\tschizophrenia\tRT @JohnTorousMD: Wow! Predicting treatment outcome in first-episode #schizophrenia patients up to 52 weeks, via #MachineLearning in-&gt; http…\tCompound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  \tCompound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  \nPhilSalm\tMachineLearning\tRT @AndiMann: .@DunkinDonuts is using #MachineLearning with @Splunk to predict sales, manage inventory, market directly to customers - #spl…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nREVyourdata\tBigData\tRT @Informatica: \"You must empower your users to release their #BigData Super-Powers!\" - Chad Jennings, Google at #StrataHadoop https://t.c…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nREVyourdata\tStrataHadoop\tRT @Informatica: \"The US Chief Data Scientist must responsibly release the power of data to benefit ALL Americans\" - @dj44 at #StrataHadoop…\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \nRITProvost\trobotics\tAnother great example of robotics and cognitive technology #robotics #machinelearning https://t.co/09nn6WsPXR https://t.co/E5I3OP5e8d\tCompound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  \tCompound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  \nRW3Tech\tStrataHadoop\tBusy day at #StrataHadoop so much going on. Be sure to check out @marvinwinsagain  #Innovation #IBM #Big #data… https://t.co/diE6zqeBli\tCompound 0.3182 Negative 0.0 Neutral 0.887 Positive 0.113  \tCompound 0.3182 Negative 0.0 Neutral 0.887 Positive 0.113  \nRW3Tech\tStrataHadoop\tIf you want to show up in style to #StrataHadoop  #Oracle &amp; #Tesla have you covered. #Nice #Wheels #Electric #Green https://t.co/SIEgWDBzGm\tnull\tCompound 0.0772 Negative 0.0 Neutral 0.894 Positive 0.106  \nRadioactive3D\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *al…\tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \nRehanS1290\tApacheSpark\tRT @Intellipaat: One Goal One Passion - #ApacheSpark, #scala &amp; #storm https://t.co/v48ryLvcit https://t.co/5wDX8eNhGB\tCompound 0.4588 Negative 0.0 Neutral 0.727 Positive 0.273  \tCompound 0.4588 Negative 0.0 Neutral 0.727 Positive 0.273  \nRehanS1290\tDataScience\tRT @Intellipaat: Why Take #DataScience, #Hadoop, #Spark, #scala,Storm Combo Training? https://t.co/NIIhN7Qhmn @hadoop_pro @dbrimley @timmar…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nRiya199011\tApacheSpark\tRT @Intellipaat: One Goal One Passion - #ApacheSpark, #scala &amp; #storm https://t.co/v48ryLvcit https://t.co/5wDX8eNhGB\tCompound 0.4588 Negative 0.0 Neutral 0.727 Positive 0.273  \tCompound 0.4588 Negative 0.0 Neutral 0.727 Positive 0.273  \nRiya199011\tDataScience\tRT @Intellipaat: Why Take #DataScience, #Hadoop, #Spark, #scala,Storm Combo Training? https://t.co/NIIhN7Qhmn @hadoop_pro @dbrimley @timmar…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nRobertsPaige\tStrataHadoop\tCall to action from @dj44. 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Show your #StrataHadoop badge. You can find us outside of Javits #Or…\tCompound 0.8399 Negative 0.0 Neutral 0.71 Positive 0.29  \tCompound 0.8399 Negative 0.0 Neutral 0.71 Positive 0.29  \nSurjitChana\tAI\tVia @NPR: Tech Giants Team Up To Tackle The Ethics Of Artificial Intelligence https://t.co/slDXmNWSUp #AI #ethics #machinelearning\tCompound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  \tCompound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  \nSuzAxtell\tDataDrivenJustice\tRT @carissa_shafto: @LynnOvermann Very exited to hear about #DataDrivenJustice at #StrataHadoop. So many ways to use data for social good.\tCompound 0.4404 Negative 0.0 Neutral 0.868 Positive 0.132  \tCompound 0.4404 Negative 0.0 Neutral 0.868 Positive 0.132  \nSuzAxtell\tStrataHadoop\t.@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. 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Come see the #MongoDB team at booth 432 at #StrataHadoop &amp; get a 15 min consultation!\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTechCertify\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tnull\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \nTechnoTwitBot\tArtificialIntelligence\tRT @TheAiPost: This Machine Writes Better Than You #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #AI #BI #A…\tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \nTekPartners\tjob\tNew #job: Sr. Big Data Architect (Cloud, Hadoop, Kafka, Spark)  Location: Seattle .. https://t.co/K8Lrea6NDP #tekpartners\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTekunoTech\tStrataHadoop\tRT @INFA_BD: LIVE at #StrataHadoop: @Cisco Director @tobranno talks about blocking 23 million #cyberattacks at the connected Rio #Olympics.…\tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \nTellusLabs\tcorn\tOur Sept 29 #corn forecast is out! Sign up with Kernel for free daily updates. #MachineLearning #BigData #agtech… https://t.co/bnD8yjGYBi\tCompound 0.5562 Negative 0.0 Neutral 0.796 Positive 0.204  \tCompound 0.5562 Negative 0.0 Neutral 0.796 Positive 0.204  \nTennysonTippy\tStrataHadoop\t\"A technology is neither radical nor revolutionary unless it benefits everyone\" DJ Patil #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \nTennysonTippy\tStrataHadoop\t\"Come help us. We can solve these problems together\" Disrupting The Cycle of Incarceration with Data  https://t.co/DVJyXvE77o #StrataHadoop\tCompound 0.2023 Negative 0.122 Neutral 0.676 Positive 0.203  \tCompound 0.2023 Negative 0.122 Neutral 0.676 Positive 0.203  \nTennysonTippy\tStrataHadoop\tDJ Patil from the White House Office of Technology &amp; the intersection of data and civil rights https://t.co/G0JFDhcg9P #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTheAiNews\tAI\tRT @TheAiPost: Asking #AI The Weird Questions #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #AI #BI #NHITWe…\tCompound -0.1779 Negative 0.221 Neutral 0.779 Positive 0.0  \tCompound -0.1779 Negative 0.221 Neutral 0.779 Positive 0.0  \nTheAiNews\tAI\tRT @TheAiPost: Major Tech Firms Forge New #AI Allience #ArtificialIntelligence #BigData #DataScience #Robots #MachineLearning #IoT #Analyti…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTheAiNews\tArtificialIntelligence\tRT @TheAiPost: Legal Challenges Associated With #ArtificialIntelligence #BigData #DataScience  #Robotics #MachineLearning #IoT #AI #BI #NHI…\tCompound 0.2023 Negative 0.0 Neutral 0.714 Positive 0.286  \tCompound 0.2023 Negative 0.0 Neutral 0.714 Positive 0.286  \nTheAiNews\tArtificialIntelligence\tRT @TheAiPost: The Disruptive Power Of #ArtificialIntelligence Technology #BigData #DataScience #Robots #MachineLearning #IoT #AI #BI #NHIT…\tCompound -0.3182 Negative 0.247 Neutral 0.753 Positive 0.0  \tCompound -0.3182 Negative 0.247 Neutral 0.753 Positive 0.0  \nTheAiNews\tArtificialIntelligence\tRT @TheAiPost: This Machine Writes Better Than You #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #AI #BI #A…\tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \nTheAiNews\tArtificialIntelligence\tRT @TheAiPost: Unfortunately #ArtificialIntelligence Will Follow the Ethics Given By #Amazon #FB &amp; #IBM #BigData #DataScience #MachineLearn…\tCompound -0.34 Negative 0.167 Neutral 0.833 Positive 0.0  \tCompound -0.34 Negative 0.167 Neutral 0.833 Positive 0.0  \nTheAiNews\tDeepLearning\tRT @TheAiPost: NVIDIA #DeepLearning #SuperComputer In A Box #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTheAiNews\tGoogle\tRT @TheAiPost: #Google Is Using Romance Novels To Build #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #AI #…\tCompound 0.5574 Negative 0.0 Neutral 0.714 Positive 0.286  \tCompound 0.5574 Negative 0.0 Neutral 0.714 Positive 0.286  \nTheAiNews\tIBM\tRT @TheAiPost: #IBM Rolls Out Advertising Campaign Powered By #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTheAiNews\tTech\tRT @TheAiPost: Google, Facebook &amp; Other #Tech Titans Form Partnership #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearn…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTheAiNews\tUS\tRT @TheAiPost: #US Tech Groups Unite To Dispel #AI Fear #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #AI #…\tCompound -0.4939 Negative 0.262 Neutral 0.738 Positive 0.0  \tCompound -0.4939 Negative 0.262 Neutral 0.738 Positive 0.0  \nTheAiTimes\tAI\tRT @TheAiPost: Asking #AI The Weird Questions #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #AI #BI #NHITWe…\tCompound -0.1779 Negative 0.221 Neutral 0.779 Positive 0.0  \tCompound -0.1779 Negative 0.221 Neutral 0.779 Positive 0.0  \nTheAiTimes\tAI\tRT @TheAiPost: How #AI Is Helping Retailers #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #Analytics #BI #N…\tCompound 0.296 Negative 0.0 Neutral 0.732 Positive 0.268  \tCompound 0.296 Negative 0.0 Neutral 0.732 Positive 0.268  \nTheAiTimes\tAI\tRT @TheAiPost: Major Tech Firms Forge New #AI Allience #ArtificialIntelligence #BigData #DataScience #Robots #MachineLearning #IoT #Analyti…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTheAiTimes\tAI\tRT @TheAiPost: Microsoft Using #AI Make The World Better Place! 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#ArtificialIntelligence #BigData #DataScience #Robotics #Analytics #IoT #A…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTheAiTimes\tTech\tRT @TheAiPost: Google, Facebook &amp; Other #Tech Titans Form Partnership #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearn…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTheAiTimes\tUS\tRT @TheAiPost: #US Tech Groups Unite To Dispel #AI Fear #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #AI #…\tCompound -0.4939 Negative 0.262 Neutral 0.738 Positive 0.0  \tCompound -0.4939 Negative 0.262 Neutral 0.738 Positive 0.0  \nTheRockstarDBA\tDataScience\tRT @Ronald_vanLoon: Alternatives to Kaggle/Other sites for machine learning &amp; competitions? | #DataScience #MachineLearning #RT https://t.c…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTheRockstarDBA\tMSDataScienceSummit\tRT @josephsirosh: Videos from #MSDataScienceSummit in Atlanta now available: https://t.co/sZAjDaIEZd #DataScience #MachineLearning #BigData…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nTonySta74515873\tmachinelearning\tRT @jackhidary: Ready 4 #machinelearning fun?  Artisanal #datascience ? See https://t.co/CzjUmMpktN :) lmao thx @googleresearch 4 the link\tCompound 0.9388 Negative 0.0 Neutral 0.391 Positive 0.609  \tCompound 0.9388 Negative 0.0 Neutral 0.391 Positive 0.609  \nToodle\tstratahadoop\tGreat keynotes at #stratahadoop. DJ Patel challenges folks to join in finding opportunities through all sorts of go… https://t.co/MrtMhSww78\tCompound 0.8481 Negative 0.0 Neutral 0.595 Positive 0.405  \tCompound 0.8481 Negative 0.0 Neutral 0.595 Positive 0.405  \nUIandMe\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \nVVagias\tBigData\tRT @Intellipaat: Why you should learn #BigData and #Hadoop? https://t.co/gAzGvGLkkg @LynchBigData @dmenningervr @markrittman @aseth @gadonn…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tBigSQL\tRT @AnaMEcheverri: You can now use IBM #BigSQL on @Hortonworks Data Platform #hadoop #sqlhadoop #bigdata https://t.co/Khb1BUH4Rc\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tBigSQL\tRT @bryan_ivey: Announcing IBM Big SQL on Hortonworks Data Platform #BigSQL #hadoop #BTRTG #ITRTG https://t.co/o57449dOFN https://t.co/aBoT…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tCopenhagen\tRT @ChoobahJobs: https://t.co/kNKvZ71Y4I We are hiring, Test Automation Engineer with Experience in Big Data / Hadoop? in #Copenhagen salar…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tHadoop\tRT @DABCC: Hadoop Customers Turn to Dell EMC for Broad Portfolio Options - https://t.co/blkUw5w0t9 #Hadoop #Dell\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tHadoop\tRT @kishancv: Hadoop is dead, long live #Hadoop! - Svetlana Sicular https://t.co/adHvlJH6vQ  #BigData\tCompound -0.68 Negative 0.295 Neutral 0.705 Positive 0.0  \tCompound -0.68 Negative 0.295 Neutral 0.705 Positive 0.0  \nVVagias\tHadoop\tRT @xplenty: Has #Hadoop lived up to its hype? via @rizkashif #Data #Analytics https://t.co/lxk010fXQ7 https://t.co/YAMN8auMnE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tIBM\tRT @silgasa: #IBM #bigdata Announcing IBM Big SQL on Hortonworks Data Platform  https://t.co/dmAtbYwkT6\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tPrecisionMedicine\tRT @ClouderaZach: NEWS: @Cloudera Announces 1st Grant Applications as part of the #PrecisionMedicine Initiative https://t.co/KALFpCWWVf #Cl…\tCompound 0.3612 Negative 0.0 Neutral 0.857 Positive 0.143  \tCompound 0.3612 Negative 0.0 Neutral 0.857 Positive 0.143  \nVVagias\tSanJose\tRT @jobfindlysj: Hadoop Architect Data Science Consultant Jobs in San Jose, CA #SanJose #CA #jobs #jobsearch https://t.co/3DAjIRTvAI\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tbigdata\tRT @techsofcolor: Diving Into Big Data Technologies: Hadoop, Hive, and Apache NiFi - Tonight!! -  https://t.co/ZsTIOmYlDn  #bigdata #blacks…\tCompound 0.2225 Negative 0.0 Neutral 0.888 Positive 0.112  \tCompound 0.2225 Negative 0.0 Neutral 0.888 Positive 0.112  \nVVagias\tdatascience\tRT @grdobbin: Data Scientist #datascience #hadoop #NLP #linguistics #Matlab #deeplearning #machinelearning #recommendersystems  If…https://…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tgraph\tRT @datametrician: Curious about @DataStax #graph, @nvidia #gpu, @ApacheFlink, @ApacheKudu, et al @ scale? Come to our @strataconf talk htt…\tCompound 0.3939 Negative 0.0 Neutral 0.871 Positive 0.129  \tCompound 0.3939 Negative 0.0 Neutral 0.871 Positive 0.129  \nVVagias\tirmuk\tRT @IRMUK: Sept Edtn: Data Modelling, Enterprise Design, Hadoop User Community, Enterprise Architecture, Agile, Brexit #irmuk https://t.co/…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tjob\tRT @TekPartners: New #job: Sr. Big Data Architect (Cloud, Hadoop, Kafka, Spark)  Location: Seattle .. https://t.co/K8Lrea6NDP #tekpartners\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVVagias\tsapjob\tRT @RudyKnaflic: Apply Today: Hadoop Systems Engineer  in Racine, WI https://t.co/dppzWPYnhf #sapjob\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVeracityMedia\tStrataHadoop\tThe Data-Driven Justice Initiative led by @DJ44 is using data science for criminal justice reform: https://t.co/sfrWpOPVxm #StrataHadoop\tCompound 0.5267 Negative 0.14 Neutral 0.579 Positive 0.281  \tCompound 0.5267 Negative 0.14 Neutral 0.579 Positive 0.281  \nVishalStudio\tAI\tRT @EmilyHHo: @acroll on how #AI can be used in your email to reveal connections between people: example of AI working FOR us, not ON us #S…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nVishalStudio\tAI\tRT @nschaetti: Keeping AI Well Behaved: How Do We Engineer An Artificial System That Has Values?. #AI #IA #machinelearning https://t.co/kyz…\tCompound 0.3527 Negative 0.0 Neutral 0.885 Positive 0.115  \tCompound 0.3527 Negative 0.0 Neutral 0.885 Positive 0.115  \nVishalStudio\tMachineLearning\tRT @data_nerd: Data can be used to save lives #MachineLearning #StrataHadoop https://t.co/ZCXqYyAOn7\tCompound 0.4939 Negative 0.0 Neutral 0.775 Positive 0.225  \tCompound 0.4939 Negative 0.0 Neutral 0.775 Positive 0.225  \nVishalStudio\tStrataHadoop\tRT @margaretpearce: Machine learning on human vision/ LASIK. L1 ~ 0.07, age is an important feature. Fascinating! #StrataHadoop #Microsoft…\tCompound 0.68 Negative 0.0 Neutral 0.741 Positive 0.259  \tCompound 0.68 Negative 0.0 Neutral 0.741 Positive 0.259  \nWealRoInvest\tAI\t#AI &amp; #MachineLearning Rising In #Enterprises!   https://t.co/P1dUjHCy4D   #bigdata #deeplearning #datascience… https://t.co/w1u1AM2sOs\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nWebEyeCMS\tBigSQL\tRT @bryan_ivey: Announcing IBM Big SQL on Hortonworks Data Platform #BigSQL #hadoop #BTRTG #ITRTG https://t.co/o57449dOFN https://t.co/aBoT…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nWork2Golf2\tDataAct\tSo surprised that #DataAct is not well known at @twitterhadoop #StrataHadoop #federaldata\tCompound 0.0974 Negative 0.13 Neutral 0.714 Positive 0.157  \tCompound 0.0974 Negative 0.13 Neutral 0.714 Positive 0.157  \nYakima_TUG\tStrataHadoop\tRT @herdingbats: Use data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPK…\tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \nYakima_TUG\tmachinelearning\tRT @kathykmy: .@acroll: Today #machinelearning is applied to you not by you. Your inbox is the Trojan horse towards a consumer #AI market #…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nYvesMulkers\tdata\tHere’s Watson again #data usage in a Virtual reality mode #ibm #DataFirst #DataWorks #Strataconf\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nYvesMulkers\tdata\tMoving #data from CPU to memory, we now face new challenges. Moving #information into humans #Strataconf ... hasn’t it been always the case?\tCompound 0.168 Negative 0.0 Neutral 0.93 Positive 0.07  \tCompound 0.168 Negative 0.0 Neutral 0.93 Positive 0.07  \nYvesMulkers\tdeeplearning\t#deeplearning Just a fancy Way of automatic pattern Recognition #Strataconf #unhype\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nYvesMulkers\tethics\t#ethics and #security should be mandatory in #datascience training #Strataconf keynotes. Great point!\tCompound 0.69 Negative 0.0 Neutral 0.659 Positive 0.341  \tCompound 0.69 Negative 0.0 Neutral 0.659 Positive 0.341  \n_Domain_News\tBusiness\tApartment giant Meriton selling strata #Business due to changes to NSW laws: Australia’s richest person, bill... https://t.co/Hcf3NO1R9B\tCompound 0.5267 Negative 0.0 Neutral 0.825 Positive 0.175  \tCompound 0.5267 Negative 0.0 Neutral 0.825 Positive 0.175  \n_brohrer_\tdeeplearning\tRT @vincent_spruyt: Conv-nets explained in baby steps: https://t.co/Evm2dfiW1s Awesome blog post from @_brohrer_ #deeplearning #MachineLear…\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \n_robynfh\tBigData\tGot #BigData? Learn how to always keep your Hadoop, NoSQL, and Splunk workloads running https://t.co/JzG4FjVRoc https://t.co/gGWfAoNFps\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nabhip22\tOReillyAI\tRT @DanyDeGrave: \"Machine learning is 99% human work\" @etzioni at #OReillyAI #MachineLearning #ai https://t.co/cXnXTjNVxm\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nacmeducation\tTensorFlow\tRT @SF_BayArea_ACM: Next week #TensorFlow #MachineLearning for Everyone Rajat Monga @TensorFlo Tech Lead &amp; Mgr @google 2/22 6:30p @eBay htt…\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nacroll\tstratahadoop\t#stratahadoop tackled polling flaws; venture gender bias; predictive policing ethics; healthcare myths; data journalism.  Great topics.\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nacroll\tstratahadoop\t@dmenningervr @Microsoft I am a huge fan of how @josephsirosh consistently brings great stories to the #stratahadoop stage.\tCompound 0.8271 Negative 0.0 Neutral 0.599 Positive 0.401  \tCompound 0.8271 Negative 0.0 Neutral 0.599 Positive 0.401  \nagoodric\tIBM\t#IBM in the house #Spark #StrataHadoop https://t.co/wnM3uxRhRP\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nagoodric\tWhitehouse\tCheck that the #Whitehouse gets 20 min #whew #StrataHadoop https://t.co/kxBI75nuOp\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nagoodric\tgoogle\t#google gets 20 min on stage #StrataHadoop https://t.co/lXqHA83xLT\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nalex_woodie\tbigdata\tChief Data Scientist @DJ44 calls on #bigdata technologists to step up to deliver \"data-driven justice\" at… https://t.co/OGEgc92Kzo\tCompound 0.5267 Negative 0.0 Neutral 0.825 Positive 0.175  \tCompound 0.5267 Negative 0.0 Neutral 0.825 Positive 0.175  \namcasari\tStrataHadoop\tRT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \namyeperry\tMachineLearning\tRT @AndiMann: .@DunkinDonuts is using #MachineLearning with @Splunk to predict sales, manage inventory, market directly to customers - #spl…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nanBenedetti\tMachineLearning\tRT @data_nerd: Data can be used to save lives #MachineLearning #StrataHadoop https://t.co/ZCXqYyAOn7\tCompound 0.4939 Negative 0.0 Neutral 0.775 Positive 0.225  \tCompound 0.4939 Negative 0.0 Neutral 0.775 Positive 0.225  \nandrewbt\tStrataHadoop\tAt #StrataHadoop, @dj44 asks why 100 people will die on roads today. His suggestion: distracted driving. Mine: poor transpo design &amp; policy\tCompound -0.8555 Negative 0.343 Neutral 0.657 Positive 0.0  \tCompound -0.8555 Negative 0.343 Neutral 0.657 Positive 0.0  \nandyhpalmer\tStrataHadoop\tRT @Tamr_Inc: .@ihabilyas Tackling Machine-Learning Complexity for Data Curation today #StrataHadoop https://t.co/9N90GE218P https://t.co/j…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nankurt\tStrataHadoop\tRT @danielleodean: See you this afternoon at one of my sessions! #StrataHadoop #CortanaIntelligence https://t.co/SB2kU3FeKB\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nanu_analytics\tPython\tRT @AnalyticsVidhya: Naive Bayes Algorithm simplified in 6 easy steps, with codes in #Python. Get started! https://t.co/j9fSR9tgaw #machine…\tCompound 0.2714 Negative 0.103 Neutral 0.739 Positive 0.157  \tCompound 0.2714 Negative 0.103 Neutral 0.739 Positive 0.157  \napachetinkerpop\tStrataHadoop\tRT @AndySchaul: A beautiful portrayal of big data, graphs &amp; 🌽🌽🌽 genetics from @TimWilliate &amp; @emileifrem at #StrataHadoop: https://t.co/dIv…\tCompound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  \tCompound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  \nargovision\tleak\tRT @vs_AR: #leak n.4: keep your car safe with #smartcity sensors.  #ArgoVision #ComputerVision #MachineLearning #DeepLearning #IoT https://…\tCompound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  \tCompound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  \naronchick\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nattunity\tStrataHadoop\tSOLUTION SHOWCASE with @ItamarAnkorion at #StrataHadoop 9/29 at 11am! Efficient Data Ingest at Scale with #Attunity #CDC #Kafka and more!\tCompound 0.7519 Negative 0.0 Neutral 0.737 Positive 0.263  \tCompound 0.7519 Negative 0.0 Neutral 0.737 Positive 0.263  \nayirpelle\tstratahadoop\tRT @bigdata: Apply to speak at #stratahadoop San Jose 2017 🗣🎙 Deadline is TOMORROW - Sept 30th 🗓🕛 https://t.co/s1lFRCyn1h https://t.co/URN8…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nb_smoke\tsklearn\tRT @amuellerml: Scikit-learn 0.18 is out! Update now with conda or pip! Check out the changelog here: https://t.co/za27b0cqJm #sklearn (at…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tBigQuery\tstrataconf: RT kathykmy: Very impressive: Live demo of Google #BigQuery at #StrataHadoop by Chad Jennings sifted t… https://t.co/BAURlVGKWC\tCompound 0.5563 Negative 0.0 Neutral 0.826 Positive 0.174  \tCompound 0.5563 Negative 0.0 Neutral 0.826 Positive 0.174  \nba_datascience\tDataScience\tstrataconf: RT reshamas: Every #DataScience training program must include: 1) Ethics 2) Security DJ44 #StrataHadoo… https://t.co/K3kyeag84v\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tStra\tstrataconf: RT reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. DJ44 #Stra… https://t.co/AhGoGMkHLa\tCompound 0.3818 Negative 0.0 Neutral 0.852 Positive 0.148  \tCompound 0.3818 Negative 0.0 Neutral 0.852 Positive 0.148  \nba_datascience\tStrata\tstrataconf: RT tashay_g: $15,000 raised by OReillyMedia and conference goers for Women in Machine Learning #Strata… https://t.co/DgrurLM4ip\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tStrataHadoo\tstrataconf: RT bigdata: Two neuroscientists SamWangPhD GaryMarcus about to speak on the main stage at #StrataHadoo… https://t.co/QKnx5szed6\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tStrataHadoop\tNext up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"\tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \nba_datascience\tStrataHadoop\tstrataconf: .GaryMarcus on stage at #StrataHadoop: From #bigdata to human-level #artificialintelligence. Watch liv… https://t.co/WTcCENMTDi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tStrataHadoop\tstrataconf: Chad W. Jennings keynote, Google BigQueryproduct for enterprise at #StrataHadoop is now live… … https://t.co/G93yva3Rgr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tStrataHadoop\tstrataconf: RT vboykis: US chief data scientist, DJ44. Fourth  talk at #StrataHadoop about handling data responsib… https://t.co/LTBaicX7xQ\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tStrataHadoop\tstrataconf: RT zeroshade: When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", OReillyMed… https://t.co/ehK2FOmf7U\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tStratahadoop\tstrataconf: RT kdnuggets: #Stratahadoop Keynote DJ Patil dj44 US Chief #DataScientist mission: *responsibly* unlea… https://t.co/3uZ1DNtQxE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tStratahadoop\tstrataconf: RT kdnuggets: #Stratahadoop Keynote DJ Patil dj44: 35902 Americans died in 2015 on the roads. Call to … https://t.co/Wwd2AsP1ar\tCompound -0.5574 Negative 0.167 Neutral 0.833 Positive 0.0  \tCompound -0.5574 Negative 0.167 Neutral 0.833 Positive 0.0  \nba_datascience\tWhiteHouse\tstrataconf: RT herdingbats: The #WhiteHouse report on algos and civil rights, helmed by DJ44 is really good. … https://t.co/jpl0bRZHMy\tCompound 0.4927 Negative 0.0 Neutral 0.842 Positive 0.158  \tCompound 0.4927 Negative 0.0 Neutral 0.842 Positive 0.158  \nba_datascience\tdatascience\tstrataconf: Up next, LynnOvermann &amp; DJ44 provide a #datascience view from the White House. We are live streaming a… https://t.co/SvqOSRwrDU\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nba_datascience\tdatascientists\tstrataconf: RT kathykmy: .DJ44: 100 people die on our roads each day. We need #datascientists to look at this (uns… https://t.co/ewqhViYzMV\tCompound -0.5994 Negative 0.163 Neutral 0.837 Positive 0.0  \tCompound -0.5994 Negative 0.163 Neutral 0.837 Positive 0.0  \nba_datascience\topendata\tstrataconf: RT reshamas: DJ44 talks #opendata at #StrataHadoop | calling all #datascientists to help us understand… https://t.co/y3U4YOAHR0\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \nbeckerfuffle\tsklearn\tRT @amuellerml: Scikit-learn 0.18 is out! Update now with conda or pip! Check out the changelog here: https://t.co/za27b0cqJm #sklearn (at…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nbetterallies\tMaleAllies\tRT @ba_datascience: strataconf: RT HealthcareWen: Tech Diversity BINGO https://t.co/Gm8a5wcBzQ BetterAllies #MaleAllies seen at #Orei… http…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nbgeerdink\tStrataHadoop\t@DJ44 is the chief data scientist of the @WhiteHouse, that sounds like a cool job! #StrataHadoop\tCompound 0.6239 Negative 0.0 Neutral 0.719 Positive 0.281  \tCompound 0.6239 Negative 0.0 Neutral 0.719 Positive 0.281  \nbiconnections\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nbiconnections\tStrataHadoop\tRT @kdnuggets: #StrataHadoop Keynote @ICIJorg Investigative Journalists amazing work brought #PanamaPapers #BigData support them at https:/…\tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \nbiconnections\tdata\tRT @YvesMulkers: Moving #data from CPU to memory, we now face new challenges. Moving #information into humans #Strataconf ... hasn’t it bee…\tnull\tCompound 0.168 Negative 0.0 Neutral 0.927 Positive 0.073  \nbigdata\tStrataHadoop\tTwo neuroscientists SamWangPhD @GaryMarcus about to speak on the main stage at #StrataHadoop https://t.co/tijsvrH83a\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nbigdata\tstratahadoop\tApply to speak at #stratahadoop San Jose 2017 🗣🎙 Deadline is TOMORROW - Sept 30th 🗓🕛 https://t.co/s1lFRCyn1h https://t.co/URN8ZoDjY8\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nbinaryloom\tArtificialIntelligence\tRT @TheAiPost: This Machine Writes Better Than You #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT #AI #BI #A…\tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \nbinaryloom\tMachineLearning\tRT @TheAiPost: Embrace Randomness In #MachineLearning #ArtificialIntelligence #BigData #DataScience #Robotics #IoT #AI #BI #NHITWeek #Analy…\tCompound 0.3182 Negative 0.0 Neutral 0.685 Positive 0.315  \tCompound 0.3182 Negative 0.0 Neutral 0.685 Positive 0.315  \nbinaryloom\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \nbobbierman\tAI\tRT @MikeQuindazzi: Rise in #AI: @NVCA reports #venturecapital in #ArtificialIntelligence has increased nearly 600% in the last 5 years. #Ma…\tCompound 0.2732 Negative 0.0 Neutral 0.896 Positive 0.104  \tCompound 0.2732 Negative 0.0 Neutral 0.896 Positive 0.104  \nbotdirectorynet\tmachinel\tWhen training a deep convnet, do you still need to train layer-wise (aka greedy)? via /r/MachineLearning https://t.co/aeIzqQfWqG #machinel…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nbreakinlog\tHackAlert\t#HackAlert Fri Sep 30 00:10:00 AEST 2016  input_userauth_request: invalid user hadoop\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nbryan_ivey\tBigSQL\tAnnouncing IBM Big SQL on Hortonworks Data Platform #BigSQL #hadoop #BTRTG #ITRTG https://t.co/o57449dOFN https://t.co/aBoTylzGHn\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nbuildingAI\tIBM\tRT @TheAiPost: #IBM Rolls Out Advertising Campaign Powered By #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ncabralens\tstratahadoop\tInvestigative journalism needs technology to bring the powerful to account. #stratahadoop wanna help @ICIJorg? https://t.co/uXANlEB88i\tCompound 0.6705 Negative 0.0 Neutral 0.703 Positive 0.297  \tCompound 0.6705 Negative 0.0 Neutral 0.703 Positive 0.297  \ncameronLcross\tStrataHadoop\tRT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \ncarissa_shafto\tDataDrivenJustice\t@LynnOvermann Very exited to hear about #DataDrivenJustice at #StrataHadoop. So many ways to use data for social good.\tCompound 0.4404 Negative 0.0 Neutral 0.854 Positive 0.146  \tCompound 0.4404 Negative 0.0 Neutral 0.854 Positive 0.146  \ncarissa_shafto\tStrataHadoop\t\"A technology is neither radical nor revolutionary unless it benefits everyone\" @DJ44 #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \ncarissa_shafto\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \ncarissa_shafto\tStrataHadoop\tRT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ncarolinabigonha\tStrataHadoop\t\"a technology is neither radical nor revolutionary unless it benefits everyone \" @DJ44 at @strataconf #StrataHadoop… https://t.co/eSDsTU83bD\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \ncatherinebilro\tGartner\tRT @Keyrus_SA: Check out the 2016 Gartner Hype Cycle: https://t.co/2tstJPluS7 #Gartner #MachineLearning #blockchain #innovation #keyrus htt…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ncdelancray\tMachineLearning\tRT @cdelancray: Using machine learning, head-mounted displays, and exo-suits to train robots https://t.co/UOQjnDFQzi #MachineLearning cc @e…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ncesarr77\tHadoop\tI was asked this morning if I was a recovering #Hadoop-olic. I think I am.   ;-)   #Stratahadoop #strataconf\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ncfrln\topensource\tRT @FlaxSearch: I would suggest that #opensource search tech such as #Solr is the *only* way this could have been done. Fascinating stuff!…\tCompound 0.5848 Negative 0.0 Neutral 0.847 Positive 0.153  \tCompound 0.5848 Negative 0.0 Neutral 0.847 Positive 0.153  \nchapin4u\tpm\tThe latest The Project Mgr #pm Daily! https://t.co/iEnlaqEAaG Thanks to @ProManagement24 @noTHINGfaced @corneliusficht #pmot #stratahadoop\tCompound 0.4926 Negative 0.0 Neutral 0.814 Positive 0.186  \tCompound 0.4926 Negative 0.0 Neutral 0.814 Positive 0.186  \nchenghlee\tStrataHadoop\tRT @mikeloukides: Every data science training program must include ethics &amp; security @dpatil #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nchenghlee\tStrataHadoop\tRT @mikeloukides: The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \nchouguled\tStrataHadoop\tRT @Scott_Gnau: Come see us at #StrataHadoop and learn how @hortonworks can drive value for you #futureofdata\tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \nchrisnordlinger\tAI\tGood distinction primer @saeedaghaborog #AI @DataScienceCtrl #machinelearning https://t.co/LCbSCoIsla\tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \nchuckcalio\tstrataconf\t@stratahadoop amazing keynote session at #strataconf by the US chief data scientist - use data to save lives !\tCompound 0.807 Negative 0.0 Neutral 0.673 Positive 0.327  \tCompound 0.807 Negative 0.0 Neutral 0.673 Positive 0.327  \ncindylforbes\tadvancedanalytics\tTerrific call to action for data science #advancedanalytics @strataconf #stratahadoop by DJ Patil in A View from the White House.\tCompound 0.4767 Negative 0.0 Neutral 0.853 Positive 0.147  \tCompound 0.4767 Negative 0.0 Neutral 0.853 Positive 0.147  \ncloudera\tPMI\t.@Cloudera @broadinstitute @childrensatl @seattlechildren &amp; @UTAustin Form #PMI Advisory Council https://t.co/Kg6W48ri3d #StrataHadoop (2/2)\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ncloudera\tPMI\tICYMI @Cloudera @broadinstitute @childrensatl @seattlechildren &amp; @UTAustin Form #PMI Advisory Council https://t.co/Kg6W48ri3d #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ncloudera\tPrecisionMedicine\t.@Cloudera is honored to be part of #PrecisionMedicine our 1st grant was announced yesterday https://t.co/ar4iUDZaSF #StrataHadoop (1/2)\tCompound 0.743 Negative 0.0 Neutral 0.704 Positive 0.296  \tCompound 0.743 Negative 0.0 Neutral 0.704 Positive 0.296  \ncloudera\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \ncmmorrow\tAI\tRT @EmilyHHo: @acroll on how #AI can be used in your email to reveal connections between people: example of AI working FOR us, not ON us #S…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ncmmorrow\tmachinelearning\tRT @kathykmy: .@acroll: Today #machinelearning is applied to you not by you. Your inbox is the Trojan horse towards a consumer #AI market #…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ncmswire\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *al…\tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \ncox_elise\tcloud\tRT @Informatica: \"3 keys to @Informatica success: Early innovation in #cloud, Ease-of-Use and Agility.\" - @amit_walia #StrataHadoop #theCUB…\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \ncshillum\tdatadrivenjustice\tFascinating to hear from @LynnOvermann about @WhiteHouse #datadrivenjustice initiative at #strataconf to today https://t.co/BdGWYUbAr1\tCompound 0.5423 Negative 0.0 Neutral 0.788 Positive 0.212  \tCompound 0.5423 Negative 0.0 Neutral 0.788 Positive 0.212  \ncutting\tStrataHadoop\t\"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \ncyclecomputing\tMachineLearning\t.@CycleComputing made @Microsoft’s list of startups to join the Seattle #MachineLearning &amp; #DataScience Accelerator! https://t.co/skDB3qr9nO\tCompound 0.296 Negative 0.0 Neutral 0.833 Positive 0.167  \tCompound 0.296 Negative 0.0 Neutral 0.833 Positive 0.167  \ndandefrancesco\tMachineLearning\tLatest Waters Wavelength podcast is live: @CBOE @BatsGlobal Deal, #MachineLearning for #socialmedia w/ @A_Malakian https://t.co/sUou8c2dLJ\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ndanielleodean\tStrataHadoop\tSee you this afternoon at one of my sessions! #StrataHadoop #CortanaIntelligence https://t.co/SB2kU3FeKB\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ndanilochilene\tsklearn\tRT @amuellerml: Scikit-learn 0.18 is out! Update now with conda or pip! Check out the changelog here: https://t.co/za27b0cqJm #sklearn (at…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ndanroesch\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \ndanwoodsearly\tStrataHadoop\t@kimknilsson, CEO of Pivigo, showed me how bite-sized projects accelerate data science adoption. https://t.co/MIeHVwINsg #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ndanwoodsearly\tStrataHadoop\tRefreshing that @DJ44 DJ Patil focuses so much on results rather than technology in celebrating data science. Wisdom, dude! #StrataHadoop\tCompound 0.8122 Negative 0.0 Neutral 0.709 Positive 0.291  \tCompound 0.8122 Negative 0.0 Neutral 0.709 Positive 0.291  \ndata_gurus\tBigSQL\tIBM #BigSQL —  @hortonworks HDP  Support is Here - Tech Talk #sqlhadoop #hadoop #bigdata https://t.co/yA5aiCx1Pg\tCompound 0.5007 Negative 0.0 Neutral 0.787 Positive 0.213  \tCompound 0.5007 Negative 0.0 Neutral 0.787 Positive 0.213  \ndata_nerd\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ndatametrician\tcybersecurity\t#cybersecurity #DataScience is hard. It needs a best of breed #BigData approach including #graph &amp; #gpu. @accenturelabs #StrataHadoop\tCompound 0.5859 Negative 0.08 Neutral 0.682 Positive 0.239  \tCompound 0.5859 Negative 0.08 Neutral 0.682 Positive 0.239  \ndatametrician\tgraph\tCurious about @DataStax #graph, @nvidia #gpu, @ApacheFlink, @ApacheKudu, et al @ scale? Come to our @strataconf talk https://t.co/xR6EqWq8hR\tCompound 0.3182 Negative 0.0 Neutral 0.874 Positive 0.126  \tCompound 0.3182 Negative 0.0 Neutral 0.874 Positive 0.126  \ndatanami\tHadoop\tOff The Wire: @hortonworks Announces Updates to @Azure  HDInsight #Hadoop Cloud Offering https://t.co/eNFRDQzj98 #BigData\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ndatarelish\tStrataHadoop\t\"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop via @DougCutting\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \ndavidmwilliams\tsplunkconf16\tiTWire - Splunk introduces machine learning, and intelligent service desk https://t.co/JgH45KAlxk #splunkconf16 #splunk #ai #machinelearning\tCompound 0.4588 Negative 0.0 Neutral 0.813 Positive 0.188  \tCompound 0.4588 Negative 0.0 Neutral 0.813 Positive 0.188  \ndevinecolleen\trobot\tRT @HERBcmu: This one-eyed #robot learned to see in weightlessness on the @Space_Station  using #machinelearning! https://t.co/SWZBP0WhTr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ndmenningervr\tBigQuery\t#BigQuery demo of scanning 1.09PB took approx 3.5 minutes  - could use more details to know what this really means #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ndmenningervr\tStrataHadoop\t.@dj44 mission of US Chief Data Scientist: responsibly use data to benefit all Americans #StrataHadoop\tCompound 0.4588 Negative 0.0 Neutral 0.824 Positive 0.176  \tCompound 0.4588 Negative 0.0 Neutral 0.824 Positive 0.176  \ndmenningervr\tStrataHadoop\tChad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSGzTNpOAW\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ndoctordindsay\tStrataHadoop\tParty on the USS Intrepid. #StrataHadoop https://t.co/elTPwA2vUy\tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \neduardoriverosq\tBigData\tRT @KirkDBorne: How #BigData &amp; the #IoT Create #SmartCities: https://t.co/TlelSAh03Z #abdsc #Analytics #DataScience #MachineLearning #AI ht…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \neduardoriverosq\tMachineLearning\tRT @KirkDBorne: Feature selection vs Model selection in #MachineLearning: https://t.co/ylI3MXFyey #DataScience https://t.co/5s8PnPv2ci\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \neduardoriverosq\tMachineLearning\tRT @KirkDBorne: When #MachineLearning redefines your job, you’re going to like it: https://t.co/SX1D9lCnXm #DataScience HT @ivydatascience…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \neduardoriverosq\tMachineLearning\tRT @Ronald_vanLoon: Machine learning, IoT and big data: Retailers need to embrace latest tech or fall behind | #MachineLearning #IoT #RT ht…\tCompound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  \tCompound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  \neduardoriverosq\tMachineLearning\tRT @arjenvanberkum: How #MachineLearning can help the #security industry | https://t.co/Xq1vcFBe7J\tCompound 0.4019 Negative 0.0 Neutral 0.769 Positive 0.231  \tCompound 0.4019 Negative 0.0 Neutral 0.769 Positive 0.231  \neduardoriverosq\tMachineLearning\tRT @ipfconline1: 50 Useful #MachineLearning and #DataScience Resources + Articles https://t.co/BUqmjaoTOV @DataScienceCtrl @dataiku https:/…\tCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \tCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \neduardoriverosq\tMachineLearning\tRT @ipfconline1: [slides] Large Scale #MachineLearning | @ThingsExpo #BigData #IoT #ML | IoT User Interface https://t.co/1MLuKitmde https:/…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nelmg420\treactnative\tRuby on stage #reactnative :) #drone is so #ruby; Android #machinelearning SaaS! So exited by #cryptography.\tCompound 0.4588 Negative 0.0 Neutral 0.727 Positive 0.273  \tCompound 0.4588 Negative 0.0 Neutral 0.727 Positive 0.273  \nerncrts\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nfa078a2f38c645d\tOPEC\tRT @TradersCom: Required Art v. Science in todays #OPEC #oil Market #MachineLearning Next Step for Trading #Algorithms @KnovaWave https://t…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nfa078a2f38c645d\toil\tRT @TradersCom: Todays #oil Market #MachineLearning Art v. Science The Next Step for Trading Algorithms #CL_F \\$SPX  https://t.co/mjgTpGoCoZ…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nftgfop1\tODBC\t#ODBC is relevant for @google #bigquery. #StrataHadoop https://t.co/HX2B0K62mI\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ngautranguillaum\tmachinelearning\tMachine Learning: Models with Learned Parameters https://t.co/jIPfkVKHqF #machinelearning #AI https://t.co/IAwryAoS6z\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ngeorgidgeorgiev\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ngeve82\topensource\tRT @FlaxSearch: I would suggest that #opensource search tech such as #Solr is the *only* way this could have been done. Fascinating stuff!…\tCompound 0.5848 Negative 0.0 Neutral 0.847 Positive 0.153  \tCompound 0.5848 Negative 0.0 Neutral 0.847 Positive 0.153  \ngglanzani\tapachespark\tRT @GoDataDriven: #apachespark user? Make sure to visit @spark_summit https://t.co/Km8aG9sRFG on October 25-27 in Brussels. Keynote by our…\tCompound 0.3939 Negative 0.0 Neutral 0.865 Positive 0.135  \tCompound 0.3939 Negative 0.0 Neutral 0.865 Positive 0.135  \nginablaber\tStrataHadoop\tA technology is neither radical nor revolutionary unless it benefits everyone. US Chief Data Scientist DJ Patil @DJ44 #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.867 Positive 0.133  \tCompound 0.3818 Negative 0.0 Neutral 0.867 Positive 0.133  \nginablaber\tStrataHadoop\tRT @mikeloukides: The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \ngrdobbin\tdatascience\tData Scientist #datascience #hadoop #NLP #linguistics #Matlab #deeplearning #machinelearning #recommendersystems  If…https://t.co/d6eG7AvuLc\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ngsingers\topensource\tRT @FlaxSearch: I would suggest that #opensource search tech such as #Solr is the *only* way this could have been done. Fascinating stuff!…\tCompound 0.5848 Negative 0.0 Neutral 0.847 Positive 0.153  \tCompound 0.5848 Negative 0.0 Neutral 0.847 Positive 0.153  \ngsingers\tstratahadoop\tRT @sawjd22: #stratahadoop #panamapapers leak investigative journalism used interesting open source technologies such as #neo4j &amp; #apacheso…\tCompound 0.0772 Negative 0.126 Neutral 0.733 Positive 0.141  \tCompound 0.0772 Negative 0.126 Neutral 0.733 Positive 0.141  \nhadoopuniverse\tBigdata\tIf you want to post #Bigdata/#Hadoop Articles.... Feel Free to DM us. We will tweet it from our account.\tCompound 0.5574 Negative 0.0 Neutral 0.787 Positive 0.213  \tCompound 0.5574 Negative 0.0 Neutral 0.787 Positive 0.213  \nham_pr\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44: 35902 Americans died in 2015 on the roads. Call to #DataScientists to analyze data, fi…\tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \nhamzashaikh1\tStrataHadoop\tAt #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Chicago!… https://t.co/JYsb8WVWIR\tCompound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  \tCompound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  \nhdconf\tDataFirst\tRT @IBMbigdata: Empower all with open platforms, tools, and methodologies for data-driven app development #DataFirst #StrataHadoop https://…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nherdingbats\tDataScience\tRT @reshamas: Every #DataScience training program must include: 1) Ethics 2) Security @DJ44 #StrataHadoop https://t.co/6Tvu0zvpjC\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nherdingbats\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \nherdingbats\tStrataHadoop\tRT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nherdingbats\tStrataHadoop\tUse data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPKewWX1S\tCompound 0.3612 Negative 0.113 Neutral 0.657 Positive 0.23  \tCompound 0.3612 Negative 0.113 Neutral 0.657 Positive 0.23  \nherdingbats\tWhiteHouse\tThe #WhiteHouse report on algos and civil rights, helmed by @DJ44 is really good. https://t.co/XQs1AGWv5u #StrataHadoop\tCompound 0.4927 Negative 0.0 Neutral 0.824 Positive 0.176  \tCompound 0.4927 Negative 0.0 Neutral 0.824 Positive 0.176  \nherdingbats\tstratahadoop\tRT @cabralens: Investigative journalism needs technology to bring the powerful to account. #stratahadoop wanna help @ICIJorg? https://t.co/…\tCompound 0.7059 Negative 0.0 Neutral 0.719 Positive 0.281  \tCompound 0.7059 Negative 0.0 Neutral 0.719 Positive 0.281  \nhjalli\tPanamaPapers\tRT @herdingbats: \"Hello, this is John Doe. Interested in data?\" Was the beginning of the #PanamaPapers - @cabralens #StrataHadoop\tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \niam_kumarr\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \nianbeckett\tAI\t3 Industries That Will Be Transformed By #AI #MachineLearning And #BigData In The Next Decade… https://t.co/hS3Jw9SxLT\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nicaromedeiros\tDataScience\tRT @reshamas: Every #DataScience training program must include: 1) Ethics 2) Security @DJ44 #StrataHadoop https://t.co/6Tvu0zvpjC\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nict4dke\tstratahadoop\tThe latest ict4dke! https://t.co/yHzdhk28JQ Thanks to @MonicaRAnders @thomasmhughes @SHaleGeneva #stratahadoop #socialmedia\tCompound 0.4926 Negative 0.0 Neutral 0.758 Positive 0.242  \tCompound 0.4926 Negative 0.0 Neutral 0.758 Positive 0.242  \nideepakmathur\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \nimHealthy_2015\tDataScience\tRT @reshamas: Every #DataScience training program must include: 1) Ethics 2) Security @DJ44 #StrataHadoop https://t.co/6Tvu0zvpjC\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nimHealthy_2015\tMachinelearning\tRT @strataconf: #Machinelearning &amp; #bigdata improve eyesight in resource-poor countries #Microsoft @JosephSirosh 9:15 #StrataHadoop https:/…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nimHealthy_2015\tStrataHadoop\tRT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \nimHealthy_2015\tStrataHadoop\tRT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nimHealthy_2015\tWhiteHouse\tRT @herdingbats: The #WhiteHouse report on algos and civil rights, helmed by @DJ44 is really good. https://t.co/XQs1AGWv5u #StrataHadoop\tCompound 0.4927 Negative 0.0 Neutral 0.842 Positive 0.158  \tCompound 0.4927 Negative 0.0 Neutral 0.842 Positive 0.158  \nimHealthy_2015\topendata\tRT @reshamas: @DJ44 talks #opendata at #StrataHadoop | calling all #datascientists to help us understand it https://t.co/LJ4md10SPF\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \ninnova_scape\tDataScience\tRT  Every #DataScience program must have a #dataethics component. @DJ44 at #StrataHadoop https://t.co/EzQU7oqyzQ https://t.co/WxfVz3pXmn\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ninnova_scape\tStrataHadoop\tRT  #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts https://t.co/N1ubR8tM4n https://t.co/dvtRe9dNw2\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ninnova_scape\tStrataHadoop\tRT  #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts https://t.co/kLs3s9luIt https://t.co/TF9YeFNBm2\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ninnova_scape\tStrataHadoop\tRT  #StrataHadoop DJ Patil dj44: US government needs you, #DataScience &amp; #BigData experts https://t.co/JGWMkaH6H4 https://t.co/N40EjW8hJP\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ninnova_scape\tStrataHadoop\tRT  #StrataHadoop DJ Patil dj44: every #DataScience training program must include #Ethics… https://t.co/LCuxIqBMUB https://t.co/qHTpeuKBgJ\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ninterestelar07\tIBM\tRT @TheAiPost: #IBM Rolls Out Advertising Campaign Powered By #ArtificialIntelligence #BigData #DataScience #Robotics #MachineLearning #IoT…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ninterestelar07\tmachinelearning\tRT @nschaetti: Radiologist bests #machinelearning algorithms at diagnosing thyroid cancer | Health Imaging. #AI #IA #BigData https://t.co/B…\tnull\tCompound -0.6597 Negative 0.227 Neutral 0.773 Positive 0.0  \nipfconline1\tMachineLearning\t10 #MachineLearning Terms Explained in Simple English - via @DataScienceCtrl   https://t.co/iPvYRjOoOf #AI… https://t.co/uL0uCQD6nF\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nipfconline1\tMachineLearning\tRT @KirkDBorne: Good stuff to know &gt;&gt; Large-scale real world #MachineLearning: https://t.co/MI7FWI0hsD #IoT #BigData #DataScience HT @ipfco…\tCompound 0.4404 Negative 0.0 Neutral 0.674 Positive 0.326  \tCompound 0.4404 Negative 0.0 Neutral 0.674 Positive 0.326  \nipfconline1\tMachineLearning\tRT @ipfconline1: 50 Useful #MachineLearning and #DataScience Resources + Articles https://t.co/BUqmjaoTOV @DataScienceCtrl @dataiku https:/…\tCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \tCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \nipfconline1\tMachineLearning\tRT @perrynalevka: What is #MachineLearning and how can it help #OnlineRetailers? Read here to learn: https://t.co/lPd5CdRxxy https://t.co/8…\tCompound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  \tCompound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  \nishikaatanna\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \niugax\tbigdata\tRT @alex_woodie: Chief Data Scientist @DJ44 calls on #bigdata technologists to step up to deliver \"data-driven justice\" at #StrataHadoop ht…\tCompound 0.5267 Negative 0.0 Neutral 0.848 Positive 0.152  \tCompound 0.5267 Negative 0.0 Neutral 0.848 Positive 0.152  \niugax\tbigquery\tRT @margaretpearce: Querying 1pb of data in under 3 minutes with #bigquery by #google #StrataHadoop https://t.co/VXSh3YGvkr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njaakkosarela\trstats\tRT @ericnovik: If any of my #rstats friends are at Strata, please come by the @mcmc_stan table in area 700, developer showcase and say hell…\tCompound -0.0516 Negative 0.144 Neutral 0.688 Positive 0.169  \tCompound -0.0516 Negative 0.144 Neutral 0.688 Positive 0.169  \njayyuen1\topensource\tApache Spot, new #opensource project for #cybersecurity, uses Hadoop and Spark, analyzes log files. https://t.co/VwrmsVSQPC #machinelearning\tCompound 0.2263 Negative 0.0 Neutral 0.872 Positive 0.128  \tCompound 0.2263 Negative 0.0 Neutral 0.872 Positive 0.128  \njbradleybush\tAI\t3 Industries That Will Be Transformed By #AI, #MachineLearning And #BigData In The Next Decade  https://t.co/fkdk1DNaaL\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njenstirrup\tStrataHadoop\tRT @mikeloukides: A technology is neither radical nor revolutionary unless it benefits everyone. @dpatil #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \njenstirrup\twimlds\tRT @wimlds: Over $15K raised for #wimlds | THANK YOU @OReillyMedia &amp; @cloudera &amp; #StrataHadoop attendees.  We appreciate your support 👏 htt…\tCompound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  \tCompound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  \njerrifmartin\tApacheSpark\tRT @Intellipaat: One Goal One Passion - #ApacheSpark, #scala &amp; #storm https://t.co/v48ryLvcit https://t.co/5wDX8eNhGB\tCompound 0.4588 Negative 0.0 Neutral 0.727 Positive 0.273  \tCompound 0.4588 Negative 0.0 Neutral 0.727 Positive 0.273  \njerrifmartin\tBigData\tRT @Intellipaat: Why you should learn #BigData and #Hadoop? https://t.co/gAzGvGLkkg @LynchBigData @dmenningervr @markrittman @aseth @gadonn…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njerrifmartin\tDataScience\tRT @Intellipaat: Why Take #DataScience, #Hadoop, #Spark, #scala,Storm Combo Training? https://t.co/NIIhN7Qhmn @hadoop_pro @dbrimley @timmar…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njerrifmartin\tHadoop\tRT @Intellipaat: #Hadoop #Ecosystem of India https://t.co/ZKBnm8iqO6\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njerrifmartin\tHadoop\tRT @Intellipaat: Making #Hadoop Easy for #DataScientists - Go Through !!! https://t.co/SjdHD4rjAd https://t.co/zy1FjdgIhK\tCompound 0.5826 Negative 0.0 Neutral 0.704 Positive 0.296  \tCompound 0.5826 Negative 0.0 Neutral 0.704 Positive 0.296  \njerrifmartin\tHadoop\tRT @Intellipaat: Prepare To Beat Off Others With The Power Of #Hadoop https://t.co/wZJWpzR1Hs\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njerrifmartin\tHadoop\tRT @Intellipaat: What Are The Must-Have Skills For #Hadoop #Professionals? https://t.co/u0Hu6eBFOl @timmarston @cutting @kevinweil @dondrak…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njerrifmartin\tRprogramming\tRT @Intellipaat: Gain full proficiency in #Rprogramming and various #Machinelearning techniques with #ApacheMahout https://t.co/ofkgouTrix…\tCompound 0.5267 Negative 0.0 Neutral 0.793 Positive 0.207  \tCompound 0.5267 Negative 0.0 Neutral 0.793 Positive 0.207  \njerrifmartin\tTableau\tRT @Intellipaat: The #Tableau ‘BI on #hadoop’ Invention One of the biggest achievement https://t.co/XNUUmTRrZG  @TableauTim\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njfehrman\transomware\tFighting machines with machines: how to beat #ransomware https://t.co/fhgyzZn30b #machinelearning#security https://t.co/W3Vk9iZBii\tCompound -0.3612 Negative 0.2 Neutral 0.8 Positive 0.0  \tCompound -0.3612 Negative 0.2 Neutral 0.8 Positive 0.0  \njmscrts\tHadoop\tWay more going @strataconf than just #Hadoop #StrataHadoop #advancedanalytics #nosql #bigdataGPU #dataintegration #MachineLearning\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njmscrts\tStrataHadoop\tJust when you thought #StrataHadoop was going to the suits, code shows up in the @google #bigquery keynote. Nice.\tCompound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  \tCompound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  \njobfindlysj\tSanJose\tHadoop Architect Data Science Consultant Jobs in San Jose, CA #SanJose #CA #jobs #jobsearch https://t.co/3DAjIRTvAI\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njoshwitten\tStrataHadoop\tRT @mikeloukides: Every data science training program must include ethics &amp; security @dpatil #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njoshwitten\tStrataHadoop\tRT @mikeloukides: The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \njrkibler\tDataScience\tRT @reshamas: Every #DataScience training program must include: 1) Ethics 2) Security @DJ44 #StrataHadoop https://t.co/6Tvu0zvpjC\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \njuliancheng\tStrataHadoop\tRT @CrowdFlower: Join @rimmanehme and @l2k today @ 11:20 a.m. in room 1E 09 at #StrataHadoop on \"What Will #MachineLearning Be Like in 2013…\tCompound 0.5719 Negative 0.0 Neutral 0.817 Positive 0.183  \tCompound 0.5719 Negative 0.0 Neutral 0.817 Positive 0.183  \nkathykmy\tBigQuery\tVery impressive: Live demo of Google #BigQuery at #StrataHadoop by Chad Jennings sifted through 1+PB of data in ~3.5 minutes\tCompound 0.5563 Negative 0.0 Neutral 0.841 Positive 0.159  \tCompound 0.5563 Negative 0.0 Neutral 0.841 Positive 0.159  \nkathykmy\tStrataHadoop\t.@DJ44 addresses #StrataHadoop the last time as US Chief #DataScientist. We need you--a voice from the data commuin… https://t.co/uwNM9yKsbG\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nkathykmy\tStrataHadoop\t.@DJ44 addresses #StrataHadoop the last time as US Chief #DataScientist: \"We need you--a voice from the data commui… https://t.co/axTAKc1dHn\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nkathykmy\tStrataHadoop\t.@dj44: \"A technology is neither radical nor revolutionary unless it benefits everyone.\" #StrataHadoop https://t.co/1C404CC7yk\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \nkathykmy\tdatascientists\t.@DJ44: 100 people die on our roads each day. We need #datascientists to look at this (unsexy looking) data &amp; help… https://t.co/gmxgpKKhyh\tCompound -0.5994 Negative 0.17 Neutral 0.83 Positive 0.0  \tCompound -0.5994 Negative 0.17 Neutral 0.83 Positive 0.0  \nkdnuggets\tDataWorks\tNew @IBMbigdata Project #DataWorks ingests #BigData very fast, has pervasive #MachineLearning, #Collaboration https://t.co/JZc7roonSE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nkdnuggets\tStrataHadoop\t#StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  \tCompound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  \nkdnuggets\tStrataHadoop\t#StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nkdnuggets\tStrataHadoop\t#StrataHadoop DJ Patil @dj44: every #DataScience training program must include #Ethics and #Security\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nkdnuggets\tStrataHadoop\t#StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nkdnuggets\tStrataHadoop\t#StrataHadoop Keynote DJ Patil @dj44: technology is not radical or revolutionary unless it benefits everyone\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \nkdnuggets\tStratahadoop\t#Stratahadoop Keynote DJ Patil @dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *all* Americans\tCompound 0.4588 Negative 0.0 Neutral 0.857 Positive 0.143  \tCompound 0.4588 Negative 0.0 Neutral 0.857 Positive 0.143  \nkdnuggets\tStratahadoop\t#Stratahadoop Keynote DJ Patil @dj44: 35902 Americans died in 2015 on the roads. Call to #DataScientists to analyze data, find out why\tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \nkeithjkraus\tgraph\tRT @datametrician: Curious about @DataStax #graph, @nvidia #gpu, @ApacheFlink, @ApacheKudu, et al @ scale? Come to our @strataconf talk htt…\tCompound 0.3939 Negative 0.0 Neutral 0.871 Positive 0.129  \tCompound 0.3939 Negative 0.0 Neutral 0.871 Positive 0.129  \nkimknilsson\tStrataHadoop\tThanks @danwoodsearly for the great chat! @PivigoHub #StrataHadoop https://t.co/BpXZhbWWVI\tCompound 0.807 Negative 0.0 Neutral 0.49 Positive 0.51  \tCompound 0.807 Negative 0.0 Neutral 0.49 Positive 0.51  \nkishancv\tHadoop\tHadoop is dead, long live #Hadoop! - Svetlana Sicular https://t.co/adHvlJH6vQ  #BigData\tCompound -0.68 Negative 0.338 Neutral 0.662 Positive 0.0  \tCompound -0.68 Negative 0.338 Neutral 0.662 Positive 0.0  \nkriaashah\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \nlaybor\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \nlaybor\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nlaybor\tStrataHadoop\tRT @kdnuggets: #StrataHadoop Keynote @ICIJorg Investigative Journalists amazing work brought #PanamaPapers #BigData support them at https:/…\tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \nlaybor\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *al…\tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \nlaybor\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44: 35902 Americans died in 2015 on the roads. Call to #DataScientists to analyze data, fi…\tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \nlaybor\tdata\tRT @7wData: Moving #data from CPU to memory, we now face new challenges. Moving #information into humans #Strataconf ... hasn’t it been alw…\tnull\tCompound 0.168 Negative 0.0 Neutral 0.93 Positive 0.07  \nlaybor\tdata\tRT @YvesMulkers: Moving #data from CPU to memory, we now face new challenges. 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Predicting treatment outcome in first-episode #schizophrenia patients up to 52 weeks, via #MachineLearning in-&gt; http…\tCompound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  \tCompound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  \nlresende1975\tdeeplearning\tWhy Deep Learning Is Suddenly Changing Your Life https://t.co/6zfXumilsb #deeplearning  #MachineLearning\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmachlearn\tmachinelearning\tThe Evolving Power of Cloud-based Applications https://t.co/M4cXsMNNlc #machinelearning\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmarcusborba\tBigData\tWatching U.S. Chief Data Scientist  DJ Patil @DJ44 live at @strataconf https://t.co/ClxQB14UNf #BigData #Analytics #DataScience\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmarcusborba\tStrataHadoop\tRT @strataconf: .@GaryMarcus on stage at #StrataHadoop: From #bigdata to human-level #artificialintelligence. Watch live at https://t.co/Gq…\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmargaretpearce\tStrataHadoop\t\"A technology is neither radical nor revolutionary unless it benefits everyone\" #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.794 Positive 0.206  \tCompound 0.3818 Negative 0.0 Neutral 0.794 Positive 0.206  \nmargaretpearce\tStrataHadoop\t4. Focus on the individual- #StrataHadoop https://t.co/jTYIJWFDAR\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmargaretpearce\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \nmargaretpearce\tbigquery\tQuerying 1pb of data in under 3 minutes with #bigquery by #google #StrataHadoop https://t.co/VXSh3YGvkr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmarikokoloco\tStrataHadoop\tRT @Informatica: \"The US Chief Data Scientist must responsibly release the power of data to benefit ALL Americans\" - @dj44 at #StrataHadoop…\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \nmarikokoloco\tdata\tRT @YvesMulkers: Moving #data from CPU to memory, we now face new challenges. Moving #information into humans #Strataconf ... hasn’t it bee…\tCompound 0.168 Negative 0.0 Neutral 0.927 Positive 0.073  \tCompound 0.168 Negative 0.0 Neutral 0.927 Positive 0.073  \nmarikokoloco\tethics\tRT @YvesMulkers: #ethics and #security should be mandatory in #datascience training #Strataconf keynotes. Great point!\tCompound 0.69 Negative 0.0 Neutral 0.695 Positive 0.305  \tCompound 0.69 Negative 0.0 Neutral 0.695 Positive 0.305  \nmarkmadsen\tBigData\tRT @alex_woodie: Journalism has a long way to go with #BigData to be the watchdog of corruption  says Panama Papers journalist @cabralens a…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmarkmadsen\tstratahadoop\tIf Google wanted to demo BigQuery perhaps something other than an unbelievably slow single row fetch would be a good idea #stratahadoop\tCompound 0.4404 Negative 0.0 Neutral 0.873 Positive 0.127  \tCompound 0.4404 Negative 0.0 Neutral 0.873 Positive 0.127  \nmarkmadsen\tstratahadoop\tSo I could use BigQuery to select 1 row from a PB-size table in &gt;200 seconds, or I could use an MPP DB to do it in &lt;1 sec? #stratahadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmartunduaga\tschizophrenia\tRT @JohnTorousMD: Wow! Predicting treatment outcome in first-episode #schizophrenia patients up to 52 weeks, via #MachineLearning in-&gt; http…\tCompound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  \tCompound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  \nmatlablive\tMATLABExpo\t#MATLABExpo is less than a week away! Check out the agenda for talks on #machinelearning, #BigData, and more. https://t.co/F2x4JuYGaI\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmatthew_dailey1\tStrataHadoop\t\"Every data science training program must include Ethics and Security\" - @DJ44 at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.833 Positive 0.167  \tCompound 0.34 Negative 0.0 Neutral 0.833 Positive 0.167  \nmbassily\tGoogle\t#Google machine translation uses neural network system https://t.co/n10SlrLRMZ @inquirerdotnet #mt #machinelearning #translation #l10n\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmccannst\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: every #DataScience training program must include #Ethics and #Security\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmchiaviello\tBI\t#BI Meets #MachineLearning and the Internet of Me https://t.co/306NtxYfnz #bigdata\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmfrenkel81\tNeuralNetwork\tRT @TomoboxHQ: A great read revisiting #NeuralNetwork 101 by @rob_hinds  #Supervised #ML #MachineLearning #Scala https://t.co/yBMCWLoCob ht…\tCompound 0.6249 Negative 0.0 Neutral 0.661 Positive 0.339  \tCompound 0.6249 Negative 0.0 Neutral 0.661 Positive 0.339  \nmfrenkel81\tchat\tRT @TomoboxHQ: .@ted_livingston The future of #chat IS #AI. Without #AI , #chat is just the #plumbing  #Chatbots #MachineLearning https://t…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmijopo\tStrataHadoop\tDeep learning necessary but not nearly sufficient for strong AI notes Gary Marcus. #StrataHadoop\tnull\tCompound 0.6652 Negative 0.0 Neutral 0.745 Positive 0.255  \nmikehking\tDataViz\tIntersection of Augmented Reality and #DataViz is exciting -- @IBM just showed 2 people collaborating remotely w/ A… https://t.co/tlhAq34EtJ\tCompound 0.4939 Negative 0.0 Neutral 0.842 Positive 0.158  \tCompound 0.4939 Negative 0.0 Neutral 0.842 Positive 0.158  \nmikehking\tStrataHadoop\t@DJ44 takeaways from 2 yrs as @WhiteHouse Chief Data Scientist #StrataHadoop: #4 Focus on Individuals (Human, not S… https://t.co/aTlA9aSyCK\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmikehking\tStrataHadoop\tAmazing how services like @googlecloud computer vision API and @DataRobot are abstracting ML, to make it super-accessible #StrataHadoop\tCompound 0.8074 Negative 0.0 Neutral 0.644 Positive 0.356  \tCompound 0.8074 Negative 0.0 Neutral 0.644 Positive 0.356  \nmikeloukides\tStrataHadoop\tA technology is neither radical nor revolutionary unless it benefits everyone. @dpatil #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \nmikeloukides\tStrataHadoop\tData driven justice initiative: use data to identify people in need, and linking them to services rather than prison. #StrataHadoop\tCompound 0.0258 Negative 0.134 Neutral 0.729 Positive 0.138  \tCompound 0.0258 Negative 0.134 Neutral 0.729 Positive 0.138  \nmikeloukides\tStrataHadoop\tEvery data science training program must include ethics &amp; security @dpatil #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmikeloukides\tStrataHadoop\tHow do you use data to empower people who don’t have access to technology? Opportunity project, teaching kids to code @dpatil #StrataHadoop\tCompound 0.4871 Negative 0.0 Neutral 0.869 Positive 0.131  \tCompound 0.4871 Negative 0.0 Neutral 0.869 Positive 0.131  \nmikeloukides\tStrataHadoop\tMission to responsibly unleash the power of data to benefit all Americans. Important words “Responsibly” &amp; “all” @dpatil #StrataHadoop\tCompound 0.6322 Negative 0.0 Neutral 0.731 Positive 0.269  \tCompound 0.6322 Negative 0.0 Neutral 0.731 Positive 0.269  \nmikeloukides\tStrataHadoop\tPrecision Medicine Initiative: to make progress on cancer, etc., need to bring data together. Solvable problem @dpatil #StrataHadoop\tCompound -0.6486 Negative 0.285 Neutral 0.602 Positive 0.112  \tCompound -0.6486 Negative 0.285 Neutral 0.602 Positive 0.112  \nmikeloukides\tStrataHadoop\tThe edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.927 Positive 0.073  \tCompound 0.0258 Negative 0.0 Neutral 0.927 Positive 0.073  \nmikeloukides\tStrataHadoop\tThis isn’t big data; it’s mostly passing around spreadsheets. But it’s incredibly important. @dpatil #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmikeloukides\tStrataHadoop\tWhat are the limitations of deep learning and AI? In broad, open ended problems, little progress  @GaryMarcus #StrataHadoop\tCompound -0.0498 Negative 0.127 Neutral 0.754 Positive 0.118  \tCompound -0.0498 Negative 0.127 Neutral 0.754 Positive 0.118  \nmistaboxta\tMachineLearning\tRT @StephanieJNeal: Algorithms of the Mind—How #MachineLearning Teaches Us About Ourselves https://t.co/esW3iBzymE #hr #ml @arimoinc https:…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmloughlin\tStrataHadoop\tLast day for @CamSemantics at #StrataHadoop , come by to learn about the smart #datalake booth 564\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \nmloughlin\tsmartdatalake\tRT @CamSemantics: Spreading the #smartdatalake word at @strataconf in #NYC. Come visit us at booth 564 to learn more! https://t.co/fqTHvExV…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmonica1mullen\tStrataHadoop\tRT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \nmphnyc\tHadoop\t20% of @Cloudera #Hadoop instances are in the cloud, @Neilsen a prime example of a data-hungry #Analytics Co.… https://t.co/GKY1sICK3S\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nmphnyc\tStrataConf\tTail end of #StrataConf lifestream: be sure to start it now, you can always roll back - once it’s gone, it’s Gone! https://t.co/wfd4qowpru\tCompound 0.4501 Negative 0.0 Neutral 0.877 Positive 0.123  \tCompound 0.4501 Negative 0.0 Neutral 0.877 Positive 0.123  \nmwakanosya\tStrataHadoop\tRT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \nmyarleq\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \nmyarleq\tstratahadoop\tRT @sawjd22: #stratahadoop @dj44 message from the #whitehouse to #datascientists https://t.co/U4nRd4GRiI\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nnetgain\tAzure\tBig news for #Azure #HDInsight Hadoop service: #Spark 2.0, Azure AD, encryption, security, performance, much more! https://t.co/XfruezWXWz\tCompound 0.4003 Negative 0.0 Neutral 0.856 Positive 0.144  \tCompound 0.4003 Negative 0.0 Neutral 0.856 Positive 0.144  \nnicolaferrini\tAzure\tRT @Azure: MSFT updates #Azure #HDInsight to make #Hadoop in the cloud secure and fast. #StrataHadoop https://t.co/XPjGoTqsWi\tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \nnoordinaryco\tmachinelearning\tMachine Learning: Models with Learned Parameters https://t.co/wYmrD1Ge27 #machinelearning #AI https://t.co/p3t8n75Ko6\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nnrouda\tStrataHadoop\tNew biggest computing issue is \"speed at which we can move information from machines to humans.\" @IBMAnalytics @robdthomas at #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nnrouda\tStrataHadoop\tWow, 1.09 PB scanned in roughly 3.5 minutes by @googlecloud BigQuery cloud data warehouse. #StrataHadoop\tCompound 0.5859 Negative 0.0 Neutral 0.787 Positive 0.213  \tCompound 0.5859 Negative 0.0 Neutral 0.787 Positive 0.213  \nnschaetti\tmachinelearning\tRadiologist bests #machinelearning algorithms at diagnosing thyroid cancer | Health Imaging. #AI #IA #BigData https://t.co/BGBxwmzzfL\tCompound -0.6597 Negative 0.253 Neutral 0.747 Positive 0.0  \tCompound -0.6597 Negative 0.253 Neutral 0.747 Positive 0.0  \nnschaetti\tmachinelearning\tSplunk Expands #machinelearning Capabilities Of Its Operational Intelligence Software - Page: 1 | CRN. #AI #IA https://t.co/U9KJykOfVl\tCompound 0.5423 Negative 0.0 Neutral 0.727 Positive 0.273  \tCompound 0.5423 Negative 0.0 Neutral 0.727 Positive 0.273  \noliver_meyn\tstratahadoop\tPanama papers leak used minimal tech and would greatly benefit from some nerd power. Great keynote by @cabralens, @ICIJorg at #stratahadoop\tCompound 0.5849 Negative 0.159 Neutral 0.586 Positive 0.255  \tCompound 0.5849 Negative 0.159 Neutral 0.586 Positive 0.255  \npaulalbright\tAI\tTop 3 Markets Most Impacted By #AI, #MachineLearning And #BigData In The Next Decade  https://t.co/YU7GYJqmrv… https://t.co/2uzYyZ4I9W\tCompound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  \npeerside\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \npetercook250\tBigData\tRT @OracleBigData: Unlock the value within Big Data with @Oracle #BigData #Cloud https://t.co/3nb64ioR1f #StrataHadoop https://t.co/Q1aNHdo…\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \npythianpartners\tStrataHadoop\t@GCPBigData BigQuery PM Chad Jennings announcing new enterprise features #StrataHadoop https://t.co/aGAz5gFvf9\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \npythianpartners\tStrataHadoop\tRT @strataconf: Chad W. Jennings keynote, @Google BigQueryproduct for enterprise at #StrataHadoop is now live https://t.co/Gq1dcmqkbX https…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nraja_roy\tStrataHadoop\tIBM Rocks at #StrataHadoop with AR demo in keynote session\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nrakpago\tAI\tRT @AlbCarrascal: One Hundred Year Study on Artificial Intelligence (2016 Report) https://t.co/LxODzZjD0S  #AI #MachineLearning https://t.c…\tCompound 0.4767 Negative 0.0 Neutral 0.819 Positive 0.181  \tCompound 0.4767 Negative 0.0 Neutral 0.819 Positive 0.181  \nrammamet\tNeuralNetworks\tRT @AnalyticsVidhya: Difficult to understand #NeuralNetworks even if skilled in #MachineLearning &amp; Data Science?https://t.co/pywDEQW78o htt…\tCompound -0.3612 Negative 0.185 Neutral 0.815 Positive 0.0  \tCompound -0.3612 Negative 0.185 Neutral 0.815 Positive 0.0  \nrammamet\tmachinelearning\tRT @seldon_io: Seldon is a proud sponsor @ODSC London, 8-9 Oct. 80+ talks &amp; workshops.  20% off: ODSC-Seldon #machinelearning #AI https://t…\tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \nrandal_olson\tsklearn\tRT @amuellerml: Scikit-learn 0.18 is out! Update now with conda or pip! Check out the changelog here: https://t.co/za27b0cqJm #sklearn (at…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nrandersonperez\tStrataHadoop\tRT @INFA_BD: LIVE at #StrataHadoop: @cabralens talks about how #cloud and #bigdata impacted the #PanamaPapers leak. #journalism #cybersecur…\tCompound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  \tCompound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  \nreetagarg5\tSparklinedata\tRT @_it_services: #Sparklinedata Terabyte scale Data Lake analytics on S3, Hadoop with Spark. Read Blog: https://t.co/MzuMi2Jnh8\tCompound 0.2263 Negative 0.0 Neutral 0.888 Positive 0.112  \tCompound 0.2263 Negative 0.0 Neutral 0.888 Positive 0.112  \nrenato_umeton\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nrenato_umeton\tStrataHadoop\tRT @kdnuggets: #StrataHadoop Keynote DJ Patil @dj44: technology is not radical or revolutionary unless it benefits everyone\tCompound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  \tCompound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  \nrenato_umeton\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *al…\tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \tCompound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  \nrenato_umeton\tStratahadoop\tRT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44: 35902 Americans died in 2015 on the roads. Call to #DataScientists to analyze data, fi…\tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \tCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \nreshamas\tDataScience\tEvery #DataScience training program must include: 1) Ethics 2) Security @DJ44 #StrataHadoop https://t.co/6Tvu0zvpjC\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nreshamas\tMachineLearning\tWatson Data Works Project: bringing #MachineLearning &amp; #ArtificialPancreasUS to scale.  | #StrataHadoop… https://t.co/kBzPesuHwR\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nreshamas\tStrataHadoop\t@DJ44 US Chief Data Scientist keynoting at #StrataHadoop https://t.co/o8Vy9WB9WN\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nreshamas\tStrataHadoop\tA technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \nreshamas\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \nreshamas\tStrataHadoop\tThe number of Americans that died on US roads | @DJ44 #StrataHadoop https://t.co/dbzBFZ3Du7\tCompound -0.5106 Negative 0.242 Neutral 0.671 Positive 0.087  \tCompound -0.5106 Negative 0.242 Neutral 0.671 Positive 0.087  \nreshamas\tStrataHadoop\tWhite House Data-Driven Justice Initiative: we need DATABASES | make data work for us! @DJ44 #StrataHadoop https://t.co/PcDyFVdv5A\tCompound 0.5707 Negative 0.0 Neutral 0.802 Positive 0.198  \tCompound 0.5707 Negative 0.0 Neutral 0.802 Positive 0.198  \nreshamas\topendata\t@DJ44 talks #opendata at #StrataHadoop | calling all #datascientists to help us understand it https://t.co/LJ4md10SPF\tCompound 0.4019 Negative 0.0 Neutral 0.828 Positive 0.172  \tCompound 0.4019 Negative 0.0 Neutral 0.828 Positive 0.172  \nreshamas\twimlds\tRT @wimlds: Over $15K raised for #wimlds | THANK YOU @OReillyMedia &amp; @cloudera &amp; #StrataHadoop attendees.  We appreciate your support 👏 htt…\tCompound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  \tCompound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  \nresilient_ent\tDataMining\tRT @Andrei_wx: ***Benefits of #DataMining Applied To #Weather*** #BigData #Innovation #MachineLearning #PredictiveAnalytics  #leadership #e…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nresilient_ent\tcorn\tRT @TellusLabs: Our Sept 29 #corn forecast is out! Sign up with Kernel for free daily updates. #MachineLearning #BigData #agtech https://t.…\tCompound 0.5562 Negative 0.0 Neutral 0.817 Positive 0.183  \tCompound 0.5562 Negative 0.0 Neutral 0.817 Positive 0.183  \nrikturr\tStrataHadoop\t\"A technology is neither radical nor revolutionary unless it benefits everyone.\" @dpatil at #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.776 Positive 0.224  \tCompound 0.3818 Negative 0.0 Neutral 0.776 Positive 0.224  \nrivaldo71\tcloud\tRT @Informatica: \"3 keys to @Informatica success: Early innovation in #cloud, Ease-of-Use and Agility.\" - @amit_walia #StrataHadoop #theCUB…\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \nrobdthomas\tStrataHadoop\tThe End of Tech Companies https://t.co/T5Gbq5j6cf #StrataHadoop #strataconf\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nrobpas\tBigQuery\tRT @kathykmy: Very impressive: Live demo of Google #BigQuery at #StrataHadoop by Chad Jennings sifted through 1+PB of data in ~3.5 minutes\tCompound 0.5563 Negative 0.0 Neutral 0.854 Positive 0.146  \tCompound 0.5563 Negative 0.0 Neutral 0.854 Positive 0.146  \nrocanainc\tContextIsEverything\tUm, what does that say??? Learn why #ContextIsEverything. Booth K3 @Cloudera Partner Pavillion #StrataHadoop. #ITOps https://t.co/ZeqweJff79\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nroxtayor\tStrataHadoop\tRT @CDOSummit: Great keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the https://t…\tCompound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  \tCompound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  \nryge\tbigdata\tRT @basementlab_dk: The latest BasementLab.dk! https://t.co/BKbJ8rBWAi Thanks to @CosmoOrbus @ryge @magesa #bigdata #machinelearning\tCompound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  \tCompound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  \ns_vaillancourt\tBigData\t@Microsoft’s grand plan aims to make #BigData intelligence accessible to all https://t.co/uSYXgLa90R via @computerweekly #Hadoop #Azure\tCompound 0.7269 Negative 0.0 Neutral 0.697 Positive 0.303  \tCompound 0.7269 Negative 0.0 Neutral 0.697 Positive 0.303  \nsahil29nov\tStrataHadoop\tRT @INFA_BD: Collaboratively find, prepare, and govern data for analysis https://t.co/0DpJo2mIm2 #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nsaptak\tApache\t.strataconf Sep 29 12:30 pm NYC: Last chance extreme crash course hortonworks DataFlow/#Apache NiFi Booth 409… https://t.co/Le4CPHjXpO\tCompound -0.1779 Negative 0.137 Neutral 0.761 Positive 0.102  \tCompound -0.1779 Negative 0.137 Neutral 0.761 Positive 0.102  \nsaptak\tBigData\tGet the inside scoop on why Hortonworks is collaborating with Microsoft on #BigData and #Cloud? https://t.co/NFaaTf8Kz5\tCompound 0.1531 Negative 0.0 Neutral 0.904 Positive 0.096  \tCompound 0.1531 Negative 0.0 Neutral 0.904 Positive 0.096  \nsbcInsurTech\tMachineLearning\t\"In reality, the main purpose of #MachineLearning is to predict the future\" @pmddomingos https://t.co/2SFsdhzOmH https://t.co/RhaBTBVUHn\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nschmiani\tStrataHadoop\tWhite House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nshakamunyi\tBigdata\tRT @hadoopuniverse: If you want to post #Bigdata/#Hadoop Articles.... Feel Free to DM us. We will tweet it from our account.\tCompound 0.5574 Negative 0.0 Neutral 0.805 Positive 0.195  \tCompound 0.5574 Negative 0.0 Neutral 0.805 Positive 0.195  \nshakamunyi\tHadoop\tRT @datanami: Off The Wire: @hortonworks Announces Updates to @Azure  HDInsight #Hadoop Cloud Offering https://t.co/eNFRDQzj98 #BigData\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nshakamunyi\tHadoop\tRT @kishancv: Hadoop is dead, long live #Hadoop! - Svetlana Sicular https://t.co/adHvlJH6vQ  #BigData\tCompound -0.68 Negative 0.295 Neutral 0.705 Positive 0.0  \tCompound -0.68 Negative 0.295 Neutral 0.705 Positive 0.0  \nshakamunyi\tMarketing\tRT @DeepLearn007: 5 #Marketing Technology Trends to Expect at Dreamforce 2016 #MachineLearning https://t.co/uXWr3TWoLw\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nshakamunyi\tStrataHadoop\tRT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nshakamunyi\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nshakamunyi\tmachinelearning\tRT @GuruculFed: User behavior analytics &amp; identity access uses #machinelearning anomaly detection &amp; predictive risk-scoring algorithms to r…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nshakamunyi\tstratahadoop\tRT @DHenschen: Next at #stratahadoop is Chad Jennings of @googlecloud on Google Big Query for Enterprise with flat-rate pricing https://t.c…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nshanetmc\tirmuk\tRT @IRMUK: Sept Edtn: Data Modelling, Enterprise Design, Hadoop User Community, Enterprise Architecture, Agile, Brexit #irmuk https://t.co/…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nshethakina\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \nshrutikawani\tStrataHadoop\tRT MongoDB: At #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Ch… https://t.co/T2Cu79kMYO\tCompound 0.7319 Negative 0.0 Neutral 0.755 Positive 0.245  \tCompound 0.7319 Negative 0.0 Neutral 0.755 Positive 0.245  \nsilgasa\tIBM\t#IBM #bigdata Announcing IBM Big SQL on Hortonworks Data Platform  https://t.co/dmAtbYwkT6\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nsinghjaspreet\tStrataHadoop\tReasons to put your data ware house in Big Query #StrataHadoop https://t.co/up61ev6yHi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nskillsmatter\tinfiniteconf\t#infiniteconf moves to 6-7 July 2017 - CfP still open! #bigdata #datascience #deeplearning #machinelearning #AI… https://t.co/EfOFXRKpoy\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nsmartcityfeed\tleak\tRT @vs_AR: #leak n.4: keep your car safe with #smartcity sensors.  #ArgoVision #ComputerVision #MachineLearning #DeepLearning #IoT https://…\tCompound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  \tCompound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  \nsrsabu\tStrataHadoop\tNeed an Nvidia Titan X and deep learning to optimize my show floor swag collection path. @NvidiaAI #StrataHadoop\tCompound 0.4939 Negative 0.0 Neutral 0.833 Positive 0.167  \tCompound 0.4939 Negative 0.0 Neutral 0.833 Positive 0.167  \nsuperlatch\tdatascience\tPredictions at the Speed of Data https://t.co/pkyE62V3i6 #datascience\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nsureshmandava\tMachineLearning\tApache Spot is functional after just one day and just keeps improving through feedback and #MachineLearning.… https://t.co/bqhy9dbvoI\tnull\tCompound 0.4215 Negative 0.0 Neutral 0.851 Positive 0.149  \nsureshmandava\tthreat\tApache Spot is an advanced #threat detection solution using #MachineLearning #BigData analytics… https://t.co/2cwCaStXvZ\tCompound 0.5106 Negative 0.0 Neutral 0.719 Positive 0.281  \tCompound 0.5106 Negative 0.0 Neutral 0.719 Positive 0.281  \ntabithagold\tmachinelearning\tExcited for the new YouTube8M data set https://t.co/zx4uFy6SuF ...ready...steady...Data Science #machinelearning #ArtificialIntelligence\tCompound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  \tCompound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  \ntareqgemee\tStrataHadoop\tProtecting Big Data is essential, not optional. Learn why #StrataHadoop https://t.co/wSZ11iMPTz #IWork4Dell\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ntashay_g\tStrataHadoop\t$15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ntashay_g\tStrataHadoop\t@LynnOvermann talking about how data is used to reform the criminal justice system #StrataHadoop\tCompound 0.0 Negative 0.181 Neutral 0.638 Positive 0.181  \tCompound 0.0 Negative 0.181 Neutral 0.638 Positive 0.181  \ntashay_g\tStrataHadoop\t@RobThomas tells us how to Bring Data to Life with Immersive Visualization  #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ntashay_g\tStrataHadoop\tA challenge we face today is how quickly we can get information from machines into the brains of humans.  #StrataHadoop\tCompound 0.0772 Negative 0.0 Neutral 0.933 Positive 0.067  \tCompound 0.0772 Negative 0.0 Neutral 0.933 Positive 0.067  \ntashay_g\tStrataHadoop\tA technology is neither radical nor revolutionary unless it benefits EVERYONE. @DJ44 #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \ntashay_g\tStrataHadoop\tEvery Data Science training MUST include ethics, security is intrinsic within that. @DJ44 #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \ntashay_g\tStrataHadoop\tFrom big data to human-level AI by @GaryMarcus #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ntashay_g\tStrataHadoop\tLearning about Google BigQuery from Chad Jennings #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ntashay_g\tStrataHadoop\tNext up DJ Patil @DJ44, talking about the use of data for initiatives at The White House #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ntashay_g\tStrataHadoop\tPresident Obama created U.S. Chief Data Scientist position roughly 2yrs ago #StrataHadoop\tCompound 0.25 Negative 0.0 Neutral 0.846 Positive 0.154  \tCompound 0.25 Negative 0.0 Neutral 0.846 Positive 0.154  \ntashay_g\tStrataHadoop\tThe Opportunity Project will release 40 new projects next Thursday. Showing how corporations are using federal data. #StrataHadoop\tCompound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  \tCompound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  \ntashay_g\tStrataHadoop\tThe three largest mental facilities in our country are LA County jail, Cook County jail, and Rikers Island. Not hospitals. #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ntaylorka\tmachinelearning\tBaidu Releases Deep Learning Benchmark to help chip manufacturers #machinelearning #feedly https://t.co/aYpggbeZNA\tCompound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  \tCompound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  \ntechsofcolor\tbigdata\tDiving Into Big Data Technologies: Hadoop, Hive, and Apache NiFi - Tonight!! -  https://t.co/ZsTIOmYlDn  #bigdata #blacksintech #ToCBigData\tCompound 0.2225 Negative 0.0 Neutral 0.881 Positive 0.119  \tCompound 0.2225 Negative 0.0 Neutral 0.881 Positive 0.119  \ntek_keller\tsklearn\tRT @amuellerml: Scikit-learn 0.18 is out! Update now with conda or pip! Check out the changelog here: https://t.co/za27b0cqJm #sklearn (at…\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nteropaananen\tStrataHadoop\t2 by bad actors I mean criminals as well as corporations abusing your private data for greed #StrataHadoop\tCompound -0.8957 Negative 0.496 Neutral 0.423 Positive 0.081  \tCompound -0.8957 Negative 0.496 Neutral 0.423 Positive 0.081  \ntlipcon\tgraph\tRT @datametrician: Curious about @DataStax #graph, @nvidia #gpu, @ApacheFlink, @ApacheKudu, et al @ scale? Come to our @strataconf talk htt…\tCompound 0.3939 Negative 0.0 Neutral 0.871 Positive 0.129  \tCompound 0.3939 Negative 0.0 Neutral 0.871 Positive 0.129  \ntmat1\tStrataHadoop\tVisit Cisco booth #833 to attend our Demo Theater Sessions (every 20 mins) &amp; enter to win a Parrot Bebop 2 Drone. @CiscoDC #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ntony_paris_120\tBigSQL\tWant to learn more about Hadoop? Get started with a complimentary version. #BigSQL #hadoop https://t.co/jEkrqwzEmW https://t.co/GaDD9whVyy\tCompound 0.4939 Negative 0.0 Neutral 0.756 Positive 0.244  \tCompound 0.4939 Negative 0.0 Neutral 0.756 Positive 0.244  \ntopiclybigdata\tbigdata\tNow tracking: Strata + Hadoop World: Big innovations in #bigdata https://t.co/p4zkxQLDrI\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \ntopiclysmm\tStrataHadoop\tRT @strataconf: Attending #StrataHadoop NYC? 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Fourth  talk at #StrataHadoop about handling data responsibly and collaboratively.  Like this trend.\tCompound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  \tCompound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  \nvivekranjandixi\tiwork4dell\tStrata+Hadoop World: Dell EMC Makes Data Work in the City that Never Sleeps #iwork4dell https://t.co/OpIexs2k1u https://t.co/1LPVNySS8G\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nvrohani\tMachineLearning\tHow to choose algorithms of Machine Learning? https://t.co/0n9wck0gYR #MachineLearning #algorithm #DataScience https://t.co/iT6X6VcdFR\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nvs_AR\tleak\t#leak n.4: keep your car safe with #smartcity sensors.  #ArgoVision #ComputerVision #MachineLearning #DeepLearning… https://t.co/frBH1KrD1b\tCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \tCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \nwannaup_cloud\tGoogle\tRT @peterdeka: #Google unleashes #deeplearning tech on language with Neural Machine Translation #machinelearning #AI - https://t.co/9uq0wgP…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nwcbdata\tDataScience\tEvery #DataScience program must have a #dataethics component. @DJ44 at #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nwcbdata\tNationalDrinkBeerDay\tInteresting: #NationalDrinkBeerDay is followed by #NationalCoffeeDay - and a coffee break follows DataAfterDark at #StrataHadoop\tCompound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  \tCompound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  \nwcbdata\tStrataHadoop\tUsing big (and small) data to solve public policy problems @WhiteHouse ... @LynnOvermann at #StrataHadoop https://t.co/CpMSnDjCMn\tCompound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  \tCompound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  \nwilliamxlr\tDataFirst\tRT @IBMbigdata: Empower all with open platforms, tools, and methodologies for data-driven app development #DataFirst #StrataHadoop https://…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nwimlds\tStrataHadoop\tLA County, Cook County &amp; Rikers Island are the 3 largest mental health institutions in US #StrataHadoop https://t.co/qDz1WRDFJO\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nwimlds\tStrataHadoop\tRT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nwimlds\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. 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We appreciate your s… https://t.co/szsPTSI85U\tCompound 0.4995 Negative 0.0 Neutral 0.712 Positive 0.288  \tCompound 0.4995 Negative 0.0 Neutral 0.712 Positive 0.288  \nxplenty\tHadoop\tHas #Hadoop lived up to its hype? via @rizkashif #Data #Analytics https://t.co/lxk010fXQ7 https://t.co/YAMN8auMnE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nzeroshade\tStrataHadoop\tAmen to @DJ44 #StrataHadoop https://t.co/AQRAcKI927\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nzeroshade\tStrataHadoop\tHoly hell this was amazing!! #StrataHadoop https://t.co/nmUPEQ47CP\tCompound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  \tCompound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  \nzeroshade\tStrataHadoop\tRT @herdingbats: Use data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPK…\tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \nzeroshade\tStrataHadoop\tRT @schmiani: White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nzeroshade\tStrataHadoop\tWhen I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", @OReillyMedia matched all the donations and raised over $15k!\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \nzeroshade\tdatascientists\tRT @kathykmy: .@DJ44: 100 people die on our roads each day. 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Like this trend."},{"value":"Compound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  "},{"value":"Compound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  "}],[{"value":"vivekranjandixi"},{"value":"iwork4dell"},{"value":"Strata+Hadoop World: Dell EMC Makes Data Work in the City that Never Sleeps #iwork4dell https://t.co/OpIexs2k1u https://t.co/1LPVNySS8G"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"vrohani"},{"value":"MachineLearning"},{"value":"How to choose algorithms of Machine Learning? https://t.co/0n9wck0gYR #MachineLearning #algorithm #DataScience https://t.co/iT6X6VcdFR"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"vs_AR"},{"value":"leak"},{"value":"#leak n.4: keep your car safe with #smartcity sensors.  #ArgoVision #ComputerVision #MachineLearning #DeepLearning… https://t.co/frBH1KrD1b"},{"value":"Compound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  "},{"value":"Compound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  "}],[{"value":"wannaup_cloud"},{"value":"Google"},{"value":"RT @peterdeka: #Google unleashes #deeplearning tech on language with Neural Machine Translation #machinelearning #AI - https://t.co/9uq0wgP…"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"wcbdata"},{"value":"DataScience"},{"value":"Every #DataScience program must have a #dataethics component. @DJ44 at #StrataHadoop"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"wcbdata"},{"value":"NationalDrinkBeerDay"},{"value":"Interesting: #NationalDrinkBeerDay is followed by #NationalCoffeeDay - and a coffee break follows DataAfterDark at #StrataHadoop"},{"value":"Compound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  "},{"value":"Compound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  "}],[{"value":"wcbdata"},{"value":"StrataHadoop"},{"value":"Using big (and small) data to solve public policy problems @WhiteHouse ... @LynnOvermann at #StrataHadoop https://t.co/CpMSnDjCMn"},{"value":"Compound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  "},{"value":"Compound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  "}],[{"value":"williamxlr"},{"value":"DataFirst"},{"value":"RT @IBMbigdata: Empower all with open platforms, tools, and methodologies for data-driven app development #DataFirst #StrataHadoop https://…"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"wimlds"},{"value":"StrataHadoop"},{"value":"LA County, Cook County &amp; Rikers Island are the 3 largest mental health institutions in US #StrataHadoop https://t.co/qDz1WRDFJO"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"wimlds"},{"value":"StrataHadoop"},{"value":"RT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"wimlds"},{"value":"StrataHadoop"},{"value":"RT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. 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We appreciate your s… https://t.co/szsPTSI85U"},{"value":"Compound 0.4995 Negative 0.0 Neutral 0.712 Positive 0.288  "},{"value":"Compound 0.4995 Negative 0.0 Neutral 0.712 Positive 0.288  "}],[{"value":"xplenty"},{"value":"Hadoop"},{"value":"Has #Hadoop lived up to its hype? via @rizkashif #Data #Analytics https://t.co/lxk010fXQ7 https://t.co/YAMN8auMnE"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"zeroshade"},{"value":"StrataHadoop"},{"value":"Amen to @DJ44 #StrataHadoop https://t.co/AQRAcKI927"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"zeroshade"},{"value":"StrataHadoop"},{"value":"Holy hell this was amazing!! #StrataHadoop https://t.co/nmUPEQ47CP"},{"value":"Compound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  "},{"value":"Compound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  "}],[{"value":"zeroshade"},{"value":"StrataHadoop"},{"value":"RT @herdingbats: Use data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPK…"},{"value":"Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  "},{"value":"Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  "}],[{"value":"zeroshade"},{"value":"StrataHadoop"},{"value":"RT @schmiani: White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"zeroshade"},{"value":"StrataHadoop"},{"value":"When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", @OReillyMedia matched all the donations and raised over $15k!"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}],[{"value":"zeroshade"},{"value":"datascientists"},{"value":"RT @kathykmy: .@DJ44: 100 people die on our roads each day. We need #datascientists to look at this (unsexy looking) data &amp; help save lives…"},{"value":"Compound -0.5994 Negative 0.157 Neutral 0.843 Positive 0.0  "},{"value":"Compound -0.5994 Negative 0.157 Neutral 0.843 Positive 0.0  "}],[{"value":"zeroshade"},{"value":"stratahadoop"},{"value":"RT @sawjd22: #stratahadoop @dj44 the first line of code written by a us president https://t.co/nYsll2rXb4"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "}]],"columnNames":[{"name":"HANDLE","index":0,"aggr":"sum"},{"name":"HASHTAGS","index":1,"aggr":"sum"},{"name":"MSG","index":2,"aggr":"sum"},{"name":"INCEPTION","index":3,"aggr":"sum"},{"name":"SENTIMENT","index":4,"aggr":"sum"}],"rows":[["4Rosalba","MSIgnite","Ride in an Oracle Tesla. 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Very thin margins. @AB_HI_ #Tereseta #theCUBE ... #stratahadoop https://t.co/S1tNYWxrHg","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","OpenSource","If #OpenSource becomes this enormous platform that allows tools and talent to raise the bar, it w... #stratahadoop https://t.co/04TWK4A8ZI","Compound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  ","Compound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  "],["BertLatamore","OpenSource","In #OpenSource U had thousands of people who understood what #Linux was &amp; were happy to help diff... #stratahadoop https://t.co/lQBy9Jh0Gt","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","Oracle","All the logic from #Oracle #DB2 can be moved to our platform with no changes. @Yuanhao #Transwarp... #stratahadoop https://t.co/C4PdfShN5M","Compound -0.296 Negative 0.109 Neutral 0.891 Positive 0.0  ","Compound -0.296 Negative 0.109 Neutral 0.891 Positive 0.0  "],["BertLatamore","Oracle","Recreated the #Oracle extension to #SQL for query optimization. @Yuanhao #Transwarp #theCUBE ... #stratahadoop https://t.co/9fEw8I1SFB","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  "],["BertLatamore","RedHat","I think we still may see #RedHat becoming the #Hadoop big player. @AB_HI_ #Tereseta #theCUBE ... #stratahadoop https://t.co/MmuAgRkbBO","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","Service","We are seeing the start of a #Service economy @AB_HI_ #Tereseta #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/3NLGaTZ9Yo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","Spark","A lightweight core of #Spark is at the base of our product. @Yuanhao #Transwarp #theCUBE ... #stratahadoop https://t.co/MwsB5rcnf7","null","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","Spark","All our customers also run #Spark @Yuanhao #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/cJn1qkzFHL","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","Spark","Our engine is built on top of #Spark. @Yuanhao #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/Cje1tMCNhQ","Compound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  ","Compound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  "],["BertLatamore","StrataHadoop","RT @armand_ruiz: This is how people learn about IBM Data Science Experience in #StrataHadoop https://t.co/ihIhnwiNBv","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","Teres","we said 7 years ago that this would be trillions in disruption. 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That is where we have been successful. @AB_HI_ #Tereseta #theCU... #stratahadoop https://t.co/uq3kqgBsYr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","Tereseta","We entered healthcare 6 months ago. So we have wealth &amp; health. @AB_HI_ #Tereseta #theCUBE ... #stratahadoop https://t.co/Aq3J587XXr","Compound 0.5367 Negative 0.0 Neutral 0.722 Positive 0.278  ","Compound 0.5367 Negative 0.0 Neutral 0.722 Positive 0.278  "],["BertLatamore","Tereseta","We will have things that will make intelligent things even more intelligent. @AB_HI_ #Tereseta #t... #stratahadoop https://t.co/4bWC5Gxje6","Compound 0.7184 Negative 0.0 Neutral 0.714 Positive 0.286  ","Compound 0.7184 Negative 0.0 Neutral 0.714 Positive 0.286  "],["BertLatamore","Transwarp","#Transwarp founded in #China in 2015. Providing #Hadoop distribution, database layer, #SQL engine... #stratahadoop https://t.co/8l9b71od5r","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","Transwarp","A query optimizer that does queries in the right order to get the most done. @Yuanhao #Transwarp ... #stratahadoop https://t.co/nS07hplpYe","Compound 0.3612 Negative 0.0 Neutral 0.878 Positive 0.122  ","Compound 0.3612 Negative 0.0 Neutral 0.878 Positive 0.122  "],["BertLatamore","Transwarp","We can run the queries in parallel. Automate all procedures. @Yuanhao #Transwarp #theCUBE ... #stratahadoop https://t.co/qAQkNVWmyf","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","TranswarpTechnology","#TranswarpTechnology Inc. #Cofounder #CTO @Yuanhao Sun live now on #theCUBE ... #stratahadoop https://t.co/SJRZN78s7q","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","Wikibon","#Wikibon’s @DVellante, @PLBurris &amp; @Jeff Frick &amp; #Treseta Founder Abhi Mehta @AB_HI_ kick off day... #stratahadoop https://t.co/B6N3J7W3k3","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","stratahadoop","My concern is the tasks will be automated for everybody &amp; everybody will have a chance to pick up... #stratahadoop https://t.co/wzCTfdcQH1","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","stratahadoop","We will not sell anything that is transformational. The money sits in the tools to detect fraud, ... #stratahadoop https://t.co/6mJ0HVPwll","Compound -0.5859 Negative 0.167 Neutral 0.833 Positive 0.0  ","Compound -0.5859 Negative 0.167 Neutral 0.833 Positive 0.0  "],["BertLatamore","stratahadoop","every banking model, every healthcare model, every transportation model will be redone based on t... #stratahadoop https://t.co/7LSLMyxx5S","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","th","We will be able to solve problems that have been intractable since time immemorial. @PLBurris #th... #stratahadoop https://t.co/OWc7QyISli","Compound -0.2263 Negative 0.132 Neutral 0.78 Positive 0.088  ","Compound -0.2263 Negative 0.132 Neutral 0.78 Positive 0.088  "],["BertLatamore","theCU","Our goal is to create a 1 stop platform so all company data is stored in 1 place. @Yuanhao #theCU... #stratahadoop https://t.co/mKH1J11oLP","Compound -0.0258 Negative 0.103 Neutral 0.798 Positive 0.099  ","Compound -0.0258 Negative 0.103 Neutral 0.798 Positive 0.099  "],["BertLatamore","theCUBE","$40T economy in 10 yrs, $1T+ of that disruptive. @PLBurris #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/rX0xKqsatO","Compound -0.3182 Negative 0.15 Neutral 0.85 Positive 0.0  ","Compound -0.3182 Negative 0.15 Neutral 0.85 Positive 0.0  "],["BertLatamore","theCUBE","Can do interaction analysis on that 1 daetabase. @Yuanhao #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/G7ObYu14gF","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","theCUBE","I would not have predicted that it would become so big so quickly. @AB_HI_ #theCUBE ... #stratahadoop https://t.co/3fHC3ZjlHl","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BertLatamore","theCUBE","it is always nice when you are right. @AB_HI_ #theCUBE https://t.co/N72174yMkO #stratahadoop https://t.co/0iPdwlpucg","Compound 0.4215 Negative 0.0 Neutral 0.811 Positive 0.189  ","Compound 0.4215 Negative 0.0 Neutral 0.811 Positive 0.189  "],["BigDataBRA","BigData","RT @KirkDBorne: How #BigData &amp; the #IoT Create #SmartCities: https://t.co/TlelSAh03Z #abdsc #Analytics #DataScience #MachineLearning #AI ht…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BigDataBRA","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  "],["Bigdata_max","bigdata","#bigdata Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  "],["BimalTandel","StrataHadoop","RT @ClouderaEvents: 20% of @Cloudera customer workloads are now in the cloud - Tom Reilly #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BimalTandel","StrataHadoop","RT @Oracle: Tired of waiting in lines for a taxi? The wait is over! Ride in style in an Oracle Tesla. Free for #StrataHadoop attendees! #Or…","Compound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  ","Compound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  "],["BimalTandel","StrataHadoop","RT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BimalTandel","StrataHadoop","RT @zeroshade: When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", @OReillyMedia matched all the donations and ra…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BimalTandel","datalake","RT @tweet_anwesa: The marketing ladies with the Marketing Data Lake bible and our sweet little mascot @INFA_BD #datalake. Check us out at #…","Compound 0.4588 Negative 0.0 Neutral 0.88 Positive 0.12  ","Compound 0.4588 Negative 0.0 Neutral 0.88 Positive 0.12  "],["BinaryLawyer","MachineLearning","An Introduction to Model-Based #MachineLearning https://t.co/wS7SsU6Xk7 #ml #ai #artificialintelligence https://t.co/KaVVl0cZX2","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BobYelland","BigData","RT @marcusborba: Watching U.S. Chief Data Scientist  DJ Patil @DJ44 live at @strataconf https://t.co/ClxQB14UNf #BigData #Analytics #DataSc…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BobYelland","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  "],["BobYelland","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BobYelland","Stratahadoop","RT @kdnuggets: #Stratahadoop Keynote DJ Patil @dj44 US Chief #DataScientist mission: *responsibly* unleash the power of data to benefit *al…","Compound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  ","Compound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  "],["Bsafestrategies","MachineLearning","RT @StephanieJNeal: Algorithms of the Mind—How #MachineLearning Teaches Us About Ourselves https://t.co/esW3iBzymE #hr #ml @arimoinc https:…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["BuySideTech","MachineLearning","Waters Wavelength 37: @CBOE @BatsGlobal Deal, #MachineLearning for #socialmedia via @dandefrancesco + @A_Malakian https://t.co/xBg2TAAynX","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["CDOSummit","CDO","Thanks @DJ44 and your team for all your great work in the public interest as Chief Data Officer #CDO @WhiteHouse… https://t.co/j8GmW9TwwC","null","Compound 0.875 Negative 0.0 Neutral 0.643 Positive 0.357  "],["CDOSummit","StrataHadoop","Great keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the… https://t.co/S3h2wEmIIK","Compound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  ","Compound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  "],["CK_Sartre","MachineLearning","How #MachineLearning analytics can accelerate #IoT results: https://t.co/2tXs8OPM3z #Analytics","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["CRSSULL","StrataHadoop","RT @HDPartnerworks: #StrataHadoop NYC is here! Meet @DellEMC @Pivotal and @IBM at our booth #409 today: https://t.co/whTi7NK3qR  #futureofd…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["CamSemantics","StrataHadoop","RT @mloughlin: Last day for @CamSemantics at #StrataHadoop , come by to learn about the smart #datalake booth 564","Compound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  ","Compound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  "],["Centre_cloud_ca","stratahadoop","RT @KnowledgeBishop: \"Today, machine learning is used ON us, not BY us.\" - @acroll #stratahadoop #AI #MachineLearning @INFA_BD https://t.co…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["ChoobahJobs","Copenhagen","https://t.co/kNKvZ71Y4I We are hiring, Test Automation Engineer with Experience in Big Data / Hadoop? in #Copenhagen salary #Choobah #Jobs","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["ChrisSeminoff","StrataHadoop","bigdata: Two neuroscientists SamWangPhD GaryMarcus about to speak on the main stage at #StrataHadoop https://t.co/YA8zYDJvOQ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["ChrisSeminoff","stratahadoop","bigdata: Apply to speak at #stratahadoop San Jose 2017 🗣🎙 Deadline is TOMORROW - Sept 30th 🗓🕛 … https://t.co/LwlVdnJtHv","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["CiscoEIR","StrataHadoop","#StrataHadoop NYC 2016 brings announcement from #CiscoEIR alum #startup @Zoomdata. https://t.co/rOEj2p8Tx0","null","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["CloudOps_","stratahadoop","RT @KnowledgeBishop: \"Today, machine learning is used ON us, not BY us.\" - @acroll #stratahadoop #AI #MachineLearning @INFA_BD https://t.co…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["CloudOps_","stratahadoop","RT @acroll: #stratahadoop tackled polling flaws; venture gender bias; predictive policing ethics; healthcare myths; data journalism.  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Call to #DataScientists to analyze data, fi…","Compound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  ","Compound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  "],["DHenschen","stratahadoop","Great talk on White House Data-Driven Justice Initiative  #stratahadoop @DJ44 Miami-Dade, FL used data to ID  mentally ill, unburden jails.","Compound 0.6908 Negative 0.103 Neutral 0.623 Positive 0.275  ","Compound 0.6908 Negative 0.103 Neutral 0.623 Positive 0.275  "],["DHenschen","stratahadoop","Next at #stratahadoop is Chad Jennings of @googlecloud on Google Big Query for Enterprise with flat-rate pricing https://t.co/Z2CXI5hHV9","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["Data4Bots","machinelearning","RT @JulienDriod: Machine Learning 101 from The Mad Scientist @Data4Bots https://t.co/XueY00kHf1 #machinelearning #bigdata #analytics #ai #r…","Compound -0.4939 Negative 0.176 Neutral 0.824 Positive 0.0  ","Compound -0.4939 Negative 0.176 Neutral 0.824 Positive 0.0  "],["DataAndUs","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  "],["DataCentreNews1","DataScience","https://t.co/AIjAkUMrYt #DataScience #Weka(machinelearning) https://t.co/hkl0OXPcu6","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["DataMic","Azure","Nice updates to #Azure #HDInsight announced at #StrataHadoop. https://t.co/U2214jeA62 #BigData #Cloud #ApacheSpark","Compound 0.4215 Negative 0.0 Neutral 0.797 Positive 0.203  ","Compound 0.4215 Negative 0.0 Neutral 0.797 Positive 0.203  "],["DataRobot","DataScience","RT @mikehking: \"#DataScience only works when business people ask the right questions and take action with the answers\" @DataRobot #StrataHa…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["Databases101","Databases","#Databases  #analyze Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think …","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["Databases1234","Databases","#Databases  #ethics and #security should be mandatory in #datascience training #Strataconf keynotes. 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Predicting treatment outcome in first-episode #schizophrenia patients up to 52 weeks, via #MachineLearning in-&gt; http…","Compound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  ","Compound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  "],["lresende1975","deeplearning","Why Deep Learning Is Suddenly Changing Your Life https://t.co/6zfXumilsb #deeplearning  #MachineLearning","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["machlearn","machinelearning","The Evolving Power of Cloud-based Applications https://t.co/M4cXsMNNlc #machinelearning","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["marcusborba","BigData","Watching U.S. Chief Data Scientist  DJ Patil @DJ44 live at @strataconf https://t.co/ClxQB14UNf #BigData #Analytics #DataScience","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["marcusborba","StrataHadoop","RT @strataconf: .@GaryMarcus on stage at #StrataHadoop: From #bigdata to human-level #artificialintelligence. Watch live at https://t.co/Gq…","null","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["margaretpearce","StrataHadoop","\"A technology is neither radical nor revolutionary unless it benefits everyone\" #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.794 Positive 0.206  ","Compound 0.3818 Negative 0.0 Neutral 0.794 Positive 0.206  "],["margaretpearce","StrataHadoop","4. Focus on the individual- #StrataHadoop https://t.co/jTYIJWFDAR","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["margaretpearce","StrataHadoop","RT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  "],["margaretpearce","bigquery","Querying 1pb of data in under 3 minutes with #bigquery by #google #StrataHadoop https://t.co/VXSh3YGvkr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["marikokoloco","StrataHadoop","RT @Informatica: \"The US Chief Data Scientist must responsibly release the power of data to benefit ALL Americans\" - @dj44 at #StrataHadoop…","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  "],["marikokoloco","data","RT @YvesMulkers: Moving #data from CPU to memory, we now face new challenges. Moving #information into humans #Strataconf ... hasn’t it bee…","Compound 0.168 Negative 0.0 Neutral 0.927 Positive 0.073  ","Compound 0.168 Negative 0.0 Neutral 0.927 Positive 0.073  "],["marikokoloco","ethics","RT @YvesMulkers: #ethics and #security should be mandatory in #datascience training #Strataconf keynotes. Great point!","Compound 0.69 Negative 0.0 Neutral 0.695 Positive 0.305  ","Compound 0.69 Negative 0.0 Neutral 0.695 Positive 0.305  "],["markmadsen","BigData","RT @alex_woodie: Journalism has a long way to go with #BigData to be the watchdog of corruption  says Panama Papers journalist @cabralens a…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["markmadsen","stratahadoop","If Google wanted to demo BigQuery perhaps something other than an unbelievably slow single row fetch would be a good idea #stratahadoop","Compound 0.4404 Negative 0.0 Neutral 0.873 Positive 0.127  ","Compound 0.4404 Negative 0.0 Neutral 0.873 Positive 0.127  "],["markmadsen","stratahadoop","So I could use BigQuery to select 1 row from a PB-size table in &gt;200 seconds, or I could use an MPP DB to do it in &lt;1 sec? #stratahadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["martunduaga","schizophrenia","RT @JohnTorousMD: Wow! Predicting treatment outcome in first-episode #schizophrenia patients up to 52 weeks, via #MachineLearning in-&gt; http…","Compound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  ","Compound 0.6239 Negative 0.0 Neutral 0.796 Positive 0.204  "],["matlablive","MATLABExpo","#MATLABExpo is less than a week away! 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Come visit us at booth 564 to learn more! https://t.co/fqTHvExV…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["monica1mullen","StrataHadoop","RT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  "],["mphnyc","Hadoop","20% of @Cloudera #Hadoop instances are in the cloud, @Neilsen a prime example of a data-hungry #Analytics Co.… https://t.co/GKY1sICK3S","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["mphnyc","StrataConf","Tail end of #StrataConf lifestream: be sure to start it now, you can always roll back - once it’s gone, it’s Gone! https://t.co/wfd4qowpru","Compound 0.4501 Negative 0.0 Neutral 0.877 Positive 0.123  ","Compound 0.4501 Negative 0.0 Neutral 0.877 Positive 0.123  "],["mwakanosya","StrataHadoop","RT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  "],["myarleq","StrataHadoop","RT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  "],["myarleq","stratahadoop","RT @sawjd22: #stratahadoop @dj44 message from the #whitehouse to #datascientists https://t.co/U4nRd4GRiI","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["netgain","Azure","Big news for #Azure #HDInsight Hadoop service: #Spark 2.0, Azure AD, encryption, security, performance, much more! https://t.co/XfruezWXWz","Compound 0.4003 Negative 0.0 Neutral 0.856 Positive 0.144  ","Compound 0.4003 Negative 0.0 Neutral 0.856 Positive 0.144  "],["nicolaferrini","Azure","RT @Azure: MSFT updates #Azure #HDInsight to make #Hadoop in the cloud secure and fast. #StrataHadoop https://t.co/XPjGoTqsWi","Compound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  ","Compound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  "],["noordinaryco","machinelearning","Machine Learning: Models with Learned Parameters https://t.co/wYmrD1Ge27 #machinelearning #AI https://t.co/p3t8n75Ko6","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["nrouda","StrataHadoop","New biggest computing issue is \"speed at which we can move information from machines to humans.\" @IBMAnalytics @robdthomas at #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["nrouda","StrataHadoop","Wow, 1.09 PB scanned in roughly 3.5 minutes by @googlecloud BigQuery cloud data warehouse. #StrataHadoop","Compound 0.5859 Negative 0.0 Neutral 0.787 Positive 0.213  ","Compound 0.5859 Negative 0.0 Neutral 0.787 Positive 0.213  "],["nschaetti","machinelearning","Radiologist bests #machinelearning algorithms at diagnosing thyroid cancer | Health Imaging. #AI #IA #BigData https://t.co/BGBxwmzzfL","Compound -0.6597 Negative 0.253 Neutral 0.747 Positive 0.0  ","Compound -0.6597 Negative 0.253 Neutral 0.747 Positive 0.0  "],["nschaetti","machinelearning","Splunk Expands #machinelearning Capabilities Of Its Operational Intelligence Software - Page: 1 | CRN. #AI #IA https://t.co/U9KJykOfVl","Compound 0.5423 Negative 0.0 Neutral 0.727 Positive 0.273  ","Compound 0.5423 Negative 0.0 Neutral 0.727 Positive 0.273  "],["oliver_meyn","stratahadoop","Panama papers leak used minimal tech and would greatly benefit from some nerd power. 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We appreciate your support 👏 htt…","Compound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  ","Compound 0.4995 Negative 0.0 Neutral 0.756 Positive 0.244  "],["resilient_ent","DataMining","RT @Andrei_wx: ***Benefits of #DataMining Applied To #Weather*** #BigData #Innovation #MachineLearning #PredictiveAnalytics  #leadership #e…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["resilient_ent","corn","RT @TellusLabs: Our Sept 29 #corn forecast is out! Sign up with Kernel for free daily updates. #MachineLearning #BigData #agtech https://t.…","Compound 0.5562 Negative 0.0 Neutral 0.817 Positive 0.183  ","Compound 0.5562 Negative 0.0 Neutral 0.817 Positive 0.183  "],["rikturr","StrataHadoop","\"A technology is neither radical nor revolutionary unless it benefits everyone.\" @dpatil at #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.776 Positive 0.224  ","Compound 0.3818 Negative 0.0 Neutral 0.776 Positive 0.224  "],["rivaldo71","cloud","RT @Informatica: \"3 keys to @Informatica success: Early innovation in #cloud, Ease-of-Use and Agility.\" - @amit_walia #StrataHadoop #theCUB…","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  "],["robdthomas","StrataHadoop","The End of Tech Companies https://t.co/T5Gbq5j6cf #StrataHadoop #strataconf","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["robpas","BigQuery","RT @kathykmy: Very impressive: Live demo of Google #BigQuery at #StrataHadoop by Chad Jennings sifted through 1+PB of data in ~3.5 minutes","Compound 0.5563 Negative 0.0 Neutral 0.854 Positive 0.146  ","Compound 0.5563 Negative 0.0 Neutral 0.854 Positive 0.146  "],["rocanainc","ContextIsEverything","Um, what does that say??? Learn why #ContextIsEverything. Booth K3 @Cloudera Partner Pavillion #StrataHadoop. #ITOps https://t.co/ZeqweJff79","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["roxtayor","StrataHadoop","RT @CDOSummit: Great keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the https://t…","Compound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  ","Compound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  "],["ryge","bigdata","RT @basementlab_dk: The latest BasementLab.dk! https://t.co/BKbJ8rBWAi Thanks to @CosmoOrbus @ryge @magesa #bigdata #machinelearning","Compound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  ","Compound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  "],["s_vaillancourt","BigData","@Microsoft’s grand plan aims to make #BigData intelligence accessible to all https://t.co/uSYXgLa90R via @computerweekly #Hadoop #Azure","Compound 0.7269 Negative 0.0 Neutral 0.697 Positive 0.303  ","Compound 0.7269 Negative 0.0 Neutral 0.697 Positive 0.303  "],["sahil29nov","StrataHadoop","RT @INFA_BD: Collaboratively find, prepare, and govern data for analysis https://t.co/0DpJo2mIm2 #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["saptak","Apache",".strataconf Sep 29 12:30 pm NYC: Last chance extreme crash course hortonworks DataFlow/#Apache NiFi Booth 409… https://t.co/Le4CPHjXpO","Compound -0.1779 Negative 0.137 Neutral 0.761 Positive 0.102  ","Compound -0.1779 Negative 0.137 Neutral 0.761 Positive 0.102  "],["saptak","BigData","Get the inside scoop on why Hortonworks is collaborating with Microsoft on #BigData and #Cloud? https://t.co/NFaaTf8Kz5","Compound 0.1531 Negative 0.0 Neutral 0.904 Positive 0.096  ","Compound 0.1531 Negative 0.0 Neutral 0.904 Positive 0.096  "],["sbcInsurTech","MachineLearning","\"In reality, the main purpose of #MachineLearning is to predict the future\" @pmddomingos https://t.co/2SFsdhzOmH https://t.co/RhaBTBVUHn","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["schmiani","StrataHadoop","White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["shakamunyi","Bigdata","RT @hadoopuniverse: If you want to post #Bigdata/#Hadoop Articles.... Feel Free to DM us. We will tweet it from our account.","Compound 0.5574 Negative 0.0 Neutral 0.805 Positive 0.195  ","Compound 0.5574 Negative 0.0 Neutral 0.805 Positive 0.195  "],["shakamunyi","Hadoop","RT @datanami: Off The Wire: @hortonworks Announces Updates to @Azure  HDInsight #Hadoop Cloud Offering https://t.co/eNFRDQzj98 #BigData","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["shakamunyi","Hadoop","RT @kishancv: Hadoop is dead, long live #Hadoop! - Svetlana Sicular https://t.co/adHvlJH6vQ  #BigData","Compound -0.68 Negative 0.295 Neutral 0.705 Positive 0.0  ","Compound -0.68 Negative 0.295 Neutral 0.705 Positive 0.0  "],["shakamunyi","Marketing","RT @DeepLearn007: 5 #Marketing Technology Trends to Expect at Dreamforce 2016 #MachineLearning https://t.co/uXWr3TWoLw","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["shakamunyi","StrataHadoop","RT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["shakamunyi","StrataHadoop","RT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["shakamunyi","machinelearning","RT @GuruculFed: User behavior analytics &amp; identity access uses #machinelearning anomaly detection &amp; predictive risk-scoring algorithms to r…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["shakamunyi","stratahadoop","RT @DHenschen: Next at #stratahadoop is Chad Jennings of @googlecloud on Google Big Query for Enterprise with flat-rate pricing https://t.c…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["shanetmc","irmuk","RT @IRMUK: Sept Edtn: Data Modelling, Enterprise Design, Hadoop User Community, Enterprise Architecture, Agile, Brexit #irmuk https://t.co/…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["shethakina","StrataHadoop","RT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  "],["shrutikawani","StrataHadoop","RT MongoDB: At #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Ch… https://t.co/T2Cu79kMYO","Compound 0.7319 Negative 0.0 Neutral 0.755 Positive 0.245  ","Compound 0.7319 Negative 0.0 Neutral 0.755 Positive 0.245  "],["silgasa","IBM","#IBM #bigdata Announcing IBM Big SQL on Hortonworks Data Platform  https://t.co/dmAtbYwkT6","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["singhjaspreet","StrataHadoop","Reasons to put your data ware house in Big Query #StrataHadoop https://t.co/up61ev6yHi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["skillsmatter","infiniteconf","#infiniteconf moves to 6-7 July 2017 - CfP still open! #bigdata #datascience #deeplearning #machinelearning #AI… https://t.co/EfOFXRKpoy","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["smartcityfeed","leak","RT @vs_AR: #leak n.4: keep your car safe with #smartcity sensors.  #ArgoVision #ComputerVision #MachineLearning #DeepLearning #IoT https://…","Compound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  ","Compound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  "],["srsabu","StrataHadoop","Need an Nvidia Titan X and deep learning to optimize my show floor swag collection path. @NvidiaAI #StrataHadoop","Compound 0.4939 Negative 0.0 Neutral 0.833 Positive 0.167  ","Compound 0.4939 Negative 0.0 Neutral 0.833 Positive 0.167  "],["superlatch","datascience","Predictions at the Speed of Data https://t.co/pkyE62V3i6 #datascience","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["sureshmandava","MachineLearning","Apache Spot is functional after just one day and just keeps improving through feedback and #MachineLearning.… https://t.co/bqhy9dbvoI","null","Compound 0.4215 Negative 0.0 Neutral 0.851 Positive 0.149  "],["sureshmandava","threat","Apache Spot is an advanced #threat detection solution using #MachineLearning #BigData analytics… https://t.co/2cwCaStXvZ","Compound 0.5106 Negative 0.0 Neutral 0.719 Positive 0.281  ","Compound 0.5106 Negative 0.0 Neutral 0.719 Positive 0.281  "],["tabithagold","machinelearning","Excited for the new YouTube8M data set https://t.co/zx4uFy6SuF ...ready...steady...Data Science #machinelearning #ArtificialIntelligence","Compound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  ","Compound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  "],["tareqgemee","StrataHadoop","Protecting Big Data is essential, not optional. Learn why #StrataHadoop https://t.co/wSZ11iMPTz #IWork4Dell","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["tashay_g","StrataHadoop","$15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["tashay_g","StrataHadoop","@LynnOvermann talking about how data is used to reform the criminal justice system #StrataHadoop","Compound 0.0 Negative 0.181 Neutral 0.638 Positive 0.181  ","Compound 0.0 Negative 0.181 Neutral 0.638 Positive 0.181  "],["tashay_g","StrataHadoop","@RobThomas tells us how to Bring Data to Life with Immersive Visualization  #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["tashay_g","StrataHadoop","A challenge we face today is how quickly we can get information from machines into the brains of humans.  #StrataHadoop","Compound 0.0772 Negative 0.0 Neutral 0.933 Positive 0.067  ","Compound 0.0772 Negative 0.0 Neutral 0.933 Positive 0.067  "],["tashay_g","StrataHadoop","A technology is neither radical nor revolutionary unless it benefits EVERYONE. @DJ44 #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  "],["tashay_g","StrataHadoop","Every Data Science training MUST include ethics, security is intrinsic within that. @DJ44 #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  "],["tashay_g","StrataHadoop","From big data to human-level AI by @GaryMarcus #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["tashay_g","StrataHadoop","Learning about Google BigQuery from Chad Jennings #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["tashay_g","StrataHadoop","Next up DJ Patil @DJ44, talking about the use of data for initiatives at The White House #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["tashay_g","StrataHadoop","President Obama created U.S. Chief Data Scientist position roughly 2yrs ago #StrataHadoop","Compound 0.25 Negative 0.0 Neutral 0.846 Positive 0.154  ","Compound 0.25 Negative 0.0 Neutral 0.846 Positive 0.154  "],["tashay_g","StrataHadoop","The Opportunity Project will release 40 new projects next Thursday. Showing how corporations are using federal data. #StrataHadoop","Compound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  ","Compound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  "],["tashay_g","StrataHadoop","The three largest mental facilities in our country are LA County jail, Cook County jail, and Rikers Island. Not hospitals. #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["taylorka","machinelearning","Baidu Releases Deep Learning Benchmark to help chip manufacturers #machinelearning #feedly https://t.co/aYpggbeZNA","Compound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  ","Compound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  "],["techsofcolor","bigdata","Diving Into Big Data Technologies: Hadoop, Hive, and Apache NiFi - Tonight!! -  https://t.co/ZsTIOmYlDn  #bigdata #blacksintech #ToCBigData","Compound 0.2225 Negative 0.0 Neutral 0.881 Positive 0.119  ","Compound 0.2225 Negative 0.0 Neutral 0.881 Positive 0.119  "],["tek_keller","sklearn","RT @amuellerml: Scikit-learn 0.18 is out! Update now with conda or pip! Check out the changelog here: https://t.co/za27b0cqJm #sklearn (at…","null","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["teropaananen","StrataHadoop","2 by bad actors I mean criminals as well as corporations abusing your private data for greed #StrataHadoop","Compound -0.8957 Negative 0.496 Neutral 0.423 Positive 0.081  ","Compound -0.8957 Negative 0.496 Neutral 0.423 Positive 0.081  "],["tlipcon","graph","RT @datametrician: Curious about @DataStax #graph, @nvidia #gpu, @ApacheFlink, @ApacheKudu, et al @ scale? Come to our @strataconf talk htt…","Compound 0.3939 Negative 0.0 Neutral 0.871 Positive 0.129  ","Compound 0.3939 Negative 0.0 Neutral 0.871 Positive 0.129  "],["tmat1","StrataHadoop","Visit Cisco booth #833 to attend our Demo Theater Sessions (every 20 mins) &amp; enter to win a Parrot Bebop 2 Drone. @CiscoDC #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["tony_paris_120","BigSQL","Want to learn more about Hadoop? Get started with a complimentary version. #BigSQL #hadoop https://t.co/jEkrqwzEmW https://t.co/GaDD9whVyy","Compound 0.4939 Negative 0.0 Neutral 0.756 Positive 0.244  ","Compound 0.4939 Negative 0.0 Neutral 0.756 Positive 0.244  "],["topiclybigdata","bigdata","Now tracking: Strata + Hadoop World: Big innovations in #bigdata https://t.co/p4zkxQLDrI","null","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["topiclysmm","StrataHadoop","RT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  "],["trevor_hirst","digitalhealth","RT @EugeneSayan: Browse https://t.co/p9QkM9t2gm and follow @CEWIT_SBU home to @Softheon and faces to our innovation  #digitalhealth #BigDat…","Compound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  ","Compound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  "],["tsadok03","hello","Last day at @strataconf come say #hello #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["udayte","StrataHadoop",".@robdthomas demoing an augmented reality demo at #StrataHadoop https://t.co/6Bf2Piko6N","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["urblg","StrataHadoop","RT @kdnuggets: #StrataHadoop Keynote @ICIJorg Investigative Journalists amazing work brought #PanamaPapers #BigData support them at https:/…","Compound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  ","Compound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  "],["v_vashishta","MachineLearning","@MichaelBCurran I wonder if our policy will soon be handled by #MachineLearning based automation with the president as the human failsafe.","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["vboykis","StrataHadoop","US chief data scientist, @DJ44. Fourth  talk at #StrataHadoop about handling data responsibly and collaboratively.  Like this trend.","Compound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  ","Compound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  "],["vivekranjandixi","iwork4dell","Strata+Hadoop World: Dell EMC Makes Data Work in the City that Never Sleeps #iwork4dell https://t.co/OpIexs2k1u https://t.co/1LPVNySS8G","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["vrohani","MachineLearning","How to choose algorithms of Machine Learning? https://t.co/0n9wck0gYR #MachineLearning #algorithm #DataScience https://t.co/iT6X6VcdFR","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["vs_AR","leak","#leak n.4: keep your car safe with #smartcity sensors.  #ArgoVision #ComputerVision #MachineLearning #DeepLearning… https://t.co/frBH1KrD1b","Compound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  ","Compound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  "],["wannaup_cloud","Google","RT @peterdeka: #Google unleashes #deeplearning tech on language with Neural Machine Translation #machinelearning #AI - https://t.co/9uq0wgP…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["wcbdata","DataScience","Every #DataScience program must have a #dataethics component. @DJ44 at #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["wcbdata","NationalDrinkBeerDay","Interesting: #NationalDrinkBeerDay is followed by #NationalCoffeeDay - and a coffee break follows DataAfterDark at #StrataHadoop","Compound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  ","Compound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  "],["wcbdata","StrataHadoop","Using big (and small) data to solve public policy problems @WhiteHouse ... @LynnOvermann at #StrataHadoop https://t.co/CpMSnDjCMn","Compound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  ","Compound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  "],["williamxlr","DataFirst","RT @IBMbigdata: Empower all with open platforms, tools, and methodologies for data-driven app development #DataFirst #StrataHadoop https://…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["wimlds","StrataHadoop","LA County, Cook County &amp; Rikers Island are the 3 largest mental health institutions in US #StrataHadoop https://t.co/qDz1WRDFJO","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["wimlds","StrataHadoop","RT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["wimlds","StrataHadoop","RT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  "],["wimlds","wimlds","Over $15K raised for #wimlds | THANK YOU @OReillyMedia &amp; @cloudera &amp; #StrataHadoop attendees.  We appreciate your s… https://t.co/szsPTSI85U","Compound 0.4995 Negative 0.0 Neutral 0.712 Positive 0.288  ","Compound 0.4995 Negative 0.0 Neutral 0.712 Positive 0.288  "],["xplenty","Hadoop","Has #Hadoop lived up to its hype? via @rizkashif #Data #Analytics https://t.co/lxk010fXQ7 https://t.co/YAMN8auMnE","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["zeroshade","StrataHadoop","Amen to @DJ44 #StrataHadoop https://t.co/AQRAcKI927","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["zeroshade","StrataHadoop","Holy hell this was amazing!! #StrataHadoop https://t.co/nmUPEQ47CP","Compound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  ","Compound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  "],["zeroshade","StrataHadoop","RT @herdingbats: Use data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPK…","Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  ","Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  "],["zeroshade","StrataHadoop","RT @schmiani: White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["zeroshade","StrataHadoop","When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", @OReillyMedia matched all the donations and raised over $15k!","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "],["zeroshade","datascientists","RT @kathykmy: .@DJ44: 100 people die on our roads each day. We need #datascientists to look at this (unsexy looking) data &amp; help save lives…","Compound -0.5994 Negative 0.157 Neutral 0.843 Positive 0.0  ","Compound -0.5994 Negative 0.157 Neutral 0.843 Positive 0.0  "],["zeroshade","stratahadoop","RT @sawjd22: #stratahadoop @dj44 the first line of code written by a us president https://t.co/nYsll2rXb4","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "]]},"dateCreated":"2016-09-29T13:47:19+0000","dateStarted":"2016-09-30T21:20:52+0000","dateFinished":"2016-09-30T21:20:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:299"},{"text":"%phoenix\n\nselect count(*) from tweets","dateUpdated":"2016-09-30T22:36:25+0000","config":{"colWidth":6,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[{"name":"COUNT(1)","index":0,"aggr":"sum"}],"values":[],"groups":[],"scatter":{"xAxis":{"name":"COUNT(1)","index":0,"aggr":"sum"}}},"enabled":true,"editorMode":"ace/mode/scala","editorHide":false,"tableHide":false},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475158263534_1103353307","id":"20160929-141103_1252525195","result":{"code":"SUCCESS","type":"TABLE","msg":"COUNT(1)\n14772\n","comment":"","msgTable":[[{"value":"14772"}]],"columnNames":[{"name":"COUNT(1)","index":0,"aggr":"sum"}],"rows":[["14772"]]},"dateCreated":"2016-09-29T14:11:03+0000","dateStarted":"2016-09-30T22:36:25+0000","dateFinished":"2016-09-30T22:36:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:300"},{"text":"%phoenix\n\nselect TO_DATE(time,'EEE MMM d HH:mm:ss Z yyyy') as timestamp, handle, hashtags,msg,  inception, sentiment, stanfordsentiment, tweet_id \nfrom tweets where Hashtags like '%StrataHadoop%'\nand sentiment is not null\norder by timestamp desc","dateUpdated":"2016-09-30T21:34:30+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[{"name":"HANDLE","index":1,"aggr":"sum"}],"groups":[],"scatter":{"yAxis":{"name":"HANDLE","index":1,"aggr":"sum"}}},"enabled":true,"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475158454656_601734331","id":"20160929-141414_1732918689","result":{"code":"SUCCESS","type":"TABLE","msg":"TIMESTAMP\tHANDLE\tHASHTAGS\tMSG\tINCEPTION\tSENTIMENT\tSTANFORDSENTIMENT\tTWEET_ID\n2016-09-29 14:20:54.000\tmarcusborba\tStrataHadoop\tRT @strataconf: .@GaryMarcus on stage at #StrataHadoop: From #bigdata to human-level #artificialintelligence. Watch live at https://t.co/Gq…\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781498996602863616\n2016-09-29 14:20:05.000\tJohnEhrlinger\tStrataHadoop\tGary Marcus slowing down the AI hype train. Deep learning is only a PIECE of the whole AI puzzle. #StrataHadoop\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781498788770934784\n2016-09-29 14:19:14.000\tmijopo\tStrataHadoop\tDeep learning necessary but not nearly sufficient for strong AI notes Gary Marcus. #StrataHadoop\tnull\tCompound 0.6652 Negative 0.0 Neutral 0.745 Positive 0.255  \tnull\t781498574559440896\n2016-09-29 14:19:01.000\tCiscoEIR\tStrataHadoop\t#StrataHadoop NYC 2016 brings announcement from #CiscoEIR alum #startup @Zoomdata. https://t.co/rOEj2p8Tx0\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781498518603173889\n2016-09-29 14:17:49.000\tRW3Tech\tStrataHadoop\tIf you want to show up in style to #StrataHadoop  #Oracle &amp; #Tesla have you covered. #Nice #Wheels #Electric #Green https://t.co/SIEgWDBzGm\tnull\tCompound 0.0772 Negative 0.0 Neutral 0.894 Positive 0.106  \tnull\t781498219100381186\n2016-09-29 14:17:35.000\tTechCertify\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tnull\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tnull\t781498158199234560\n2016-09-29 14:17:31.000\tlaybor\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781498141828902912\n2016-09-29 14:17:24.000\trenato_umeton\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tnull\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781498115404824576\n2016-09-29 14:16:58.000\tjmscrts\tStrataHadoop\tJust when you thought #StrataHadoop was going to the suits, code shows up in the @google #bigquery keynote. Nice.\tCompound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  \tCompound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  \tnull\t781498003718897664\n2016-09-29 14:16:56.000\tlaybor\tStrataHadoop\tRT @kdnuggets: #StrataHadoop Keynote @ICIJorg Investigative Journalists amazing work brought #PanamaPapers #BigData support them at https:/…\tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \tnull\t781497996416577536\n2016-09-29 14:16:43.000\tMDMGeek\tStrataHadoop\t3 breakthroughs of AI #StrataHadoop https://t.co/WVrksU2xJj\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497942926565376\n2016-09-29 14:16:33.000\tmarikokoloco\tStrataHadoop\tRT @Informatica: \"The US Chief Data Scientist must responsibly release the power of data to benefit ALL Americans\" - @dj44 at #StrataHadoop…\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \tnull\t781497898835992576\n2016-09-29 14:16:22.000\tshethakina\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tnull\t781497852325494784\n2016-09-29 14:16:04.000\tlaybor\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tnull\t781497777155170304\n2016-09-29 14:16:03.000\tba_datascience\tStrataHadoop\tstrataconf: .GaryMarcus on stage at #StrataHadoop: From #bigdata to human-level #artificialintelligence. Watch liv… https://t.co/WTcCENMTDi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497774906941440\n2016-09-29 14:15:46.000\tmikeloukides\tStrataHadoop\tWhat are the limitations of deep learning and AI? In broad, open ended problems, little progress  @GaryMarcus #StrataHadoop\tCompound -0.0498 Negative 0.127 Neutral 0.754 Positive 0.118  \tCompound -0.0498 Negative 0.127 Neutral 0.754 Positive 0.118  \tnull\t781497701116575745\n2016-09-29 14:15:44.000\tBigDataBRA\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tnull\t781497695190024196\n2016-09-29 14:15:31.000\tEvanMarcusESG\tStrataHadoop\tAmazing video on analyzing data with augmented reality #StrataHadoop https://t.co/yLGMZXBeGh\tCompound 0.5859 Negative 0.0 Neutral 0.703 Positive 0.297  \tCompound 0.5859 Negative 0.0 Neutral 0.703 Positive 0.297  \tnull\t781497637904195585\n2016-09-29 14:15:28.000\tMathMusicMole\tStrataHadoop\tRT @Tamr_Inc: .@ihabilyas Tackling Machine-Learning Complexity for Data Curation today #StrataHadoop https://t.co/9N90GE218P https://t.co/j…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497628924190720\n2016-09-29 14:15:16.000\tkriaashah\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tnull\t781497575505596416\n2016-09-29 14:15:14.000\tClouderaEvents\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497566445834240\n2016-09-29 14:15:04.000\tClouderaEvents\tStrataHadoop\tRT @kathykmy: .@DJ44 addresses #StrataHadoop the last time as US Chief #DataScientist: \"We need you--a voice from the data commuinty at the…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497524624424960\n2016-09-29 14:14:59.000\traja_roy\tStrataHadoop\tIBM Rocks at #StrataHadoop with AR demo in keynote session\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497505108398080\n2016-09-29 14:14:16.000\ttashay_g\tStrataHadoop\tFrom big data to human-level AI by @GaryMarcus #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497324258336768\n2016-09-29 14:14:09.000\tiam_kumarr\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tnull\t781497296038998017\n2016-09-29 14:14:03.000\tIpponUSA\tStrataHadoop\tRT @ASeigneurin: Inspiring keynotes at #StrataHadoop today. All about improving healthcare, the jail system, access to information... Not j…\tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \tnull\t781497271661826048\n2016-09-29 14:14:02.000\tChrisSeminoff\tStrataHadoop\tbigdata: Two neuroscientists SamWangPhD GaryMarcus about to speak on the main stage at #StrataHadoop https://t.co/YA8zYDJvOQ\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497267387822080\n2016-09-29 14:13:57.000\tcloudera\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tnull\t781497246961508352\n2016-09-29 14:13:43.000\tbiconnections\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497187104612352\n2016-09-29 14:13:33.000\tbinaryloom\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tnull\t781497145962618885\n2016-09-29 14:13:33.000\tDee_Marketing\tStrataHadoop\tRT @strataconf: .@GaryMarcus on stage at #StrataHadoop: From #bigdata to human-level #artificialintelligence. Watch live at https://t.co/Gq…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781497146860265472\n2016-09-29 14:13:29.000\tlheritier\tStrataHadoop\tRT @ASeigneurin: Inspiring keynotes at #StrataHadoop today. All about improving healthcare, the jail system, access to information... Not j…\tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \tnull\t781497125985251332\n2016-09-29 14:13:20.000\tRW3Tech\tStrataHadoop\tBusy day at #StrataHadoop so much going on. Be sure to check out @marvinwinsagain  #Innovation #IBM #Big #data… https://t.co/diE6zqeBli\tCompound 0.3182 Negative 0.0 Neutral 0.887 Positive 0.113  \tCompound 0.3182 Negative 0.0 Neutral 0.887 Positive 0.113  \tnull\t781497092040560640\n2016-09-29 14:13:15.000\tMickyga\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tnull\t781497068586168321\n2016-09-29 14:12:30.000\tOttLegalRebels\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tnull\t781496880165367808\n2016-09-29 14:12:25.000\ttmat1\tStrataHadoop\tVisit Cisco booth #833 to attend our Demo Theater Sessions (every 20 mins) &amp; enter to win a Parrot Bebop 2 Drone. @CiscoDC #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496860607324162\n2016-09-29 14:12:13.000\tOttLegalRebels\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496808904142848\n2016-09-29 14:12:04.000\tAmyVGaskins\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tnull\t781496771495112704\n2016-09-29 14:12:03.000\tLibertyhere\tStrataHadoop\tThe \"new\" von neumann bottleneck is getting insights from the computer into the human brain. @IBMbigdata + @ApacheSpark #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496769133719552\n2016-09-29 14:11:56.000\tAFontPerez\tStrataHadoop\t#StrataHadoop DJ Patil dj44: you need to focus on the #individual - then you will always be right\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496737722724352\n2016-09-29 14:11:49.000\tankurt\tStrataHadoop\tRT @danielleodean: See you this afternoon at one of my sessions! #StrataHadoop #CortanaIntelligence https://t.co/SB2kU3FeKB\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496707297210368\n2016-09-29 14:11:35.000\tbigdata\tStrataHadoop\tTwo neuroscientists SamWangPhD @GaryMarcus about to speak on the main stage at #StrataHadoop https://t.co/tijsvrH83a\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496649562619904\n2016-09-29 14:11:14.000\tjoshwitten\tStrataHadoop\tRT @mikeloukides: The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \tnull\t781496563176726528\n2016-09-29 14:11:12.000\tjoshwitten\tStrataHadoop\tRT @mikeloukides: Every data science training program must include ethics &amp; security @dpatil #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496552380588032\n2016-09-29 14:10:44.000\tishikaatanna\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tnull\t781496436072538112\n2016-09-29 14:10:33.000\tattunity\tStrataHadoop\tSOLUTION SHOWCASE with @ItamarAnkorion at #StrataHadoop 9/29 at 11am! Efficient Data Ingest at Scale with #Attunity #CDC #Kafka and more!\tCompound 0.7519 Negative 0.0 Neutral 0.737 Positive 0.263  \tCompound 0.7519 Negative 0.0 Neutral 0.737 Positive 0.263  \tnull\t781496388878274560\n2016-09-29 14:10:27.000\tFFontanot\tStrataHadoop\tNext up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"\tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \tnull\t781496365851537408\n2016-09-29 14:10:14.000\tIBMDataScience\tStrataHadoop\tRT @udayte: .@robdthomas demoing an augmented reality demo at #StrataHadoop https://t.co/6Bf2Piko6N\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496308146241536\n2016-09-29 14:10:08.000\tSudheerThulluri\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tnull\t781496286847434752\n2016-09-29 14:09:47.000\tudayte\tStrataHadoop\t.@robdthomas demoing an augmented reality demo at #StrataHadoop https://t.co/6Bf2Piko6N\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496197672493056\n2016-09-29 14:09:42.000\terncrts\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496175405006848\n2016-09-29 14:09:41.000\tchenghlee\tStrataHadoop\tRT @mikeloukides: The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \tnull\t781496173018226693\n2016-09-29 14:09:40.000\taronchick\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496167016308736\n2016-09-29 14:09:39.000\tchenghlee\tStrataHadoop\tRT @mikeloukides: Every data science training program must include ethics &amp; security @dpatil #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496164281569280\n2016-09-29 14:09:38.000\tINFA_BD\tStrataHadoop\tLIVE at #StrataHadoop: @Lynnovermann shares the need to use #DataSciencea to transform the US criminal justice syst… https://t.co/EYbH3sb9zD\tCompound 0.296 Negative 0.142 Neutral 0.625 Positive 0.233  \tCompound 0.296 Negative 0.142 Neutral 0.625 Positive 0.233  \tnull\t781496160867479553\n2016-09-29 14:09:34.000\tCamSemantics\tStrataHadoop\tRT @mloughlin: Last day for @CamSemantics at #StrataHadoop , come by to learn about the smart #datalake booth 564\tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \tnull\t781496141301026816\n2016-09-29 14:09:16.000\tkimknilsson\tStrataHadoop\tThanks @danwoodsearly for the great chat! @PivigoHub #StrataHadoop https://t.co/BpXZhbWWVI\tCompound 0.807 Negative 0.0 Neutral 0.49 Positive 0.51  \tCompound 0.807 Negative 0.0 Neutral 0.49 Positive 0.51  \tnull\t781496066462089216\n2016-09-29 14:09:15.000\tba_datascience\tStrataHadoop\tNext up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"\tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \tnull\t781496064402657280\n2016-09-29 14:09:03.000\tmccannst\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: every #DataScience training program must include #Ethics and #Security\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781496012292493312\n2016-09-29 14:08:56.000\tinnova_scape\tStrataHadoop\tRT  #StrataHadoop DJ Patil dj44: US government needs you, #DataScience &amp; #BigData experts https://t.co/JGWMkaH6H4 https://t.co/N40EjW8hJP\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495984115240960\n2016-09-29 14:08:55.000\tinnova_scape\tStrataHadoop\tRT  #StrataHadoop DJ Patil dj44: every #DataScience training program must include #Ethics… https://t.co/LCuxIqBMUB https://t.co/qHTpeuKBgJ\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495979010764800\n2016-09-29 14:08:48.000\tinnova_scape\tStrataHadoop\tRT  #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts https://t.co/N1ubR8tM4n https://t.co/dvtRe9dNw2\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495949881253888\n2016-09-29 14:08:47.000\tinnova_scape\tStrataHadoop\tRT  #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts https://t.co/kLs3s9luIt https://t.co/TF9YeFNBm2\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495943241748480\n2016-09-29 14:08:18.000\tnrouda\tStrataHadoop\tNew biggest computing issue is \"speed at which we can move information from machines to humans.\" @IBMAnalytics @robdthomas at #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495821544087552\n2016-09-29 14:08:17.000\ttashay_g\tStrataHadoop\t@RobThomas tells us how to Bring Data to Life with Immersive Visualization  #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495819308589056\n2016-09-29 14:07:54.000\tdata_nerd\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495724223688705\n2016-09-29 14:07:40.000\tBobYelland\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tnull\t781495662714257408\n2016-09-29 14:07:40.000\tkathykmy\tStrataHadoop\t.@DJ44 addresses #StrataHadoop the last time as US Chief #DataScientist: \"We need you--a voice from the data commui… https://t.co/axTAKc1dHn\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495666333876224\n2016-09-29 14:07:39.000\tBobYelland\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495659224526848\n2016-09-29 14:07:34.000\tmloughlin\tStrataHadoop\tLast day for @CamSemantics at #StrataHadoop , come by to learn about the smart #datalake booth 564\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \tnull\t781495639733637120\n2016-09-29 14:07:26.000\tgeorgidgeorgiev\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495604123934720\n2016-09-29 14:07:26.000\tREVyourdata\tStrataHadoop\tRT @Informatica: \"The US Chief Data Scientist must responsibly release the power of data to benefit ALL Americans\" - @dj44 at #StrataHadoop…\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \tnull\t781495607290572800\n2016-09-29 14:07:19.000\tideepakmathur\tStrataHadoop\tRT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \tnull\t781495577385299969\n2016-09-29 14:07:16.000\tmyarleq\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tnull\t781495564567543809\n2016-09-29 14:07:16.000\tkdnuggets\tStrataHadoop\t#StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495564844367872\n2016-09-29 14:07:12.000\ttashay_g\tStrataHadoop\tA challenge we face today is how quickly we can get information from machines into the brains of humans.  #StrataHadoop\tCompound 0.0772 Negative 0.0 Neutral 0.933 Positive 0.067  \tCompound 0.0772 Negative 0.0 Neutral 0.933 Positive 0.067  \tnull\t781495546095800320\n2016-09-29 14:07:05.000\tdatarelish\tStrataHadoop\t\"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop via @DougCutting\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tnull\t781495516073000960\n2016-09-29 14:07:05.000\tdanroesch\tStrataHadoop\tRT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \tnull\t781495517104799744\n2016-09-29 14:07:04.000\tAFontPerez\tStrataHadoop\t#StrataHadoop DJ Patil dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495513623457792\n2016-09-29 14:07:03.000\tAFontPerez\tStrataHadoop\t#StrataHadoop DJ Patil dj44: every #DataScience training program must include #Ethics and #Security\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495510137970688\n2016-09-29 14:07:02.000\tAFontPerez\tStrataHadoop\t#StrataHadoop DJ Patil dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  \tCompound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  \tnull\t781495505297833984\n2016-09-29 14:06:49.000\tginablaber\tStrataHadoop\tRT @mikeloukides: The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \tCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \tnull\t781495449245089792\n2016-09-29 14:06:42.000\tSorishaPragyan\tStrataHadoop\t\"The edge cases matter\" - @DJ44 #StrataHadoop  - a perfect quote to remember while performing case studies and identifying problem areas\tCompound 0.0258 Negative 0.0 Neutral 0.82 Positive 0.18  \tCompound 0.0258 Negative 0.0 Neutral 0.82 Positive 0.18  \tnull\t781495421860544512\n2016-09-29 14:06:37.000\tEmilyHHo\tStrataHadoop\t@LynnOvermann of @WhiteHouse : 3 biggest mental health centers are jails.  #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495398745735168\n2016-09-29 14:06:35.000\tkdnuggets\tStrataHadoop\t#StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495390139023365\n2016-09-29 14:06:35.000\tkathykmy\tStrataHadoop\t.@DJ44 addresses #StrataHadoop the last time as US Chief #DataScientist. We need you--a voice from the data commuin… https://t.co/uwNM9yKsbG\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495390822596608\n2016-09-29 14:06:29.000\tmikehking\tStrataHadoop\t@DJ44 takeaways from 2 yrs as @WhiteHouse Chief Data Scientist #StrataHadoop: #4 Focus on Individuals (Human, not S… https://t.co/aTlA9aSyCK\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495367561056258\n2016-09-29 14:06:27.000\tRobertsPaige\tStrataHadoop\tCall to action from @dj44. Focus on the individual. Contribute. #StrataHadoop https://t.co/6dTHJmdIEK\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495358274859008\n2016-09-29 14:06:15.000\tIBMbigdata\tStrataHadoop\tNext up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"\tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \tCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \tnull\t781495309645950976\n2016-09-29 14:06:06.000\tmatthew_dailey1\tStrataHadoop\t\"Every data science training program must include Ethics and Security\" - @DJ44 at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.833 Positive 0.167  \tCompound 0.34 Negative 0.0 Neutral 0.833 Positive 0.167  \tnull\t781495270299176960\n2016-09-29 14:06:03.000\tmargaretpearce\tStrataHadoop\t4. Focus on the individual- #StrataHadoop https://t.co/jTYIJWFDAR\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495256617521152\n2016-09-29 14:05:49.000\tcutting\tStrataHadoop\t\"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \tnull\t781495197117079552\n2016-09-29 14:05:36.000\tEvanMarcusESG\tStrataHadoop\t.@dj44 1. Edge cases matter. 2. Data science training must include ethics &amp; security. 3. We need help from this community. #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.916 Positive 0.084  \tCompound 0.0258 Negative 0.0 Neutral 0.916 Positive 0.084  \tnull\t781495144986148864\n2016-09-29 14:05:15.000\trobdthomas\tStrataHadoop\tThe End of Tech Companies https://t.co/T5Gbq5j6cf #StrataHadoop #strataconf\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781495056880525312\n2016-09-29 14:04:42.000\tUIandMe\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tnull\t781494917428187136\n2016-09-29 14:04:42.000\tDataAndUs\tStrataHadoop\tRT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \tnull\t781494917474377728\n2016-09-29 14:04:41.000\tClouderaEvents\tStrataHadoop\tRT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781494913653477376\n2016-09-29 14:04:37.000\tkdnuggets\tStrataHadoop\t#StrataHadoop DJ Patil @dj44: every #DataScience training program must include #Ethics and #Security\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781494897090101248\n2016-09-29 14:04:10.000\tkdnuggets\tStrataHadoop\t#StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData\tCompound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  \tCompound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  \tnull\t781494783621627904\n2016-09-29 14:04:02.000\ttashay_g\tStrataHadoop\tEvery Data Science training MUST include ethics, security is intrinsic within that. @DJ44 #StrataHadoop\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \tnull\t781494748095864832\n2016-09-29 14:03:59.000\tcameronLcross\tStrataHadoop\tRT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781494738973143040\n2016-09-29 14:03:48.000\tmikeloukides\tStrataHadoop\tEvery data science training program must include ethics &amp; security @dpatil #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781494693070798849\n2016-09-29 14:03:36.000\tdanwoodsearly\tStrataHadoop\tRefreshing that @DJ44 DJ Patil focuses so much on results rather than technology in celebrating data science. Wisdom, dude! #StrataHadoop\tCompound 0.8122 Negative 0.0 Neutral 0.709 Positive 0.291  \tCompound 0.8122 Negative 0.0 Neutral 0.709 Positive 0.291  \tnull\t781494641602551808\n2016-09-29 14:03:21.000\tmikeloukides\tStrataHadoop\tThe edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop\tCompound 0.0258 Negative 0.0 Neutral 0.927 Positive 0.073  \tCompound 0.0258 Negative 0.0 Neutral 0.927 Positive 0.073  \tnull\t781494579694604288\n2016-09-29 14:03:11.000\tDatagrrl\tStrataHadoop\tRT @schmiani: White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781494536107397120\n2016-09-29 14:03:05.000\tjenstirrup\tStrataHadoop\tRT @mikeloukides: A technology is neither radical nor revolutionary unless it benefits everyone. @dpatil #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \tnull\t781494510178045952\n2016-09-29 14:02:55.000\tmikeloukides\tStrataHadoop\tPrecision Medicine Initiative: to make progress on cancer, etc., need to bring data together. Solvable problem @dpatil #StrataHadoop\tCompound -0.6486 Negative 0.285 Neutral 0.602 Positive 0.112  \tCompound -0.6486 Negative 0.285 Neutral 0.602 Positive 0.112  \tnull\t781494468776226816\n2016-09-29 14:02:52.000\tASeigneurin\tStrataHadoop\tInspiring keynotes at #StrataHadoop today. All about improving healthcare, the jail system, access to information... Not just about data.\tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \tCompound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  \tnull\t781494458202386432\n2016-09-29 14:02:23.000\tSuriyaaKudoIsc\tStrataHadoop\tRT @Oracle: Want a VIP ride in an Oracle Tesla and a free USB charger? Show your #StrataHadoop badge. You can find us outside of Javits #Or…\tCompound 0.8399 Negative 0.0 Neutral 0.71 Positive 0.29  \tCompound 0.8399 Negative 0.0 Neutral 0.71 Positive 0.29  \tnull\t781494333996425216\n2016-09-29 14:02:18.000\treshamas\tStrataHadoop\tWhite House Data-Driven Justice Initiative: we need DATABASES | make data work for us! @DJ44 #StrataHadoop https://t.co/PcDyFVdv5A\tCompound 0.5707 Negative 0.0 Neutral 0.802 Positive 0.198  \tCompound 0.5707 Negative 0.0 Neutral 0.802 Positive 0.198  \tnull\t781494313339478016\n2016-09-29 14:02:09.000\tBertLatamore\tStrataHadoop\tRT @armand_ruiz: This is how people learn about IBM Data Science Experience in #StrataHadoop https://t.co/ihIhnwiNBv\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781494274575564804\n2016-09-29 14:01:55.000\tPaaSDev\tStrataHadoop\tHortonworks Supports the Precision Medicine Initiative - Hortonworks https://t.co/PpU4UD8ctj #StrataHadoop\tCompound 0.3612 Negative 0.0 Neutral 0.762 Positive 0.238  \tCompound 0.3612 Negative 0.0 Neutral 0.762 Positive 0.238  \tnull\t781494219265409024\n2016-09-29 14:01:52.000\twcbdata\tStrataHadoop\tUsing big (and small) data to solve public policy problems @WhiteHouse ... @LynnOvermann at #StrataHadoop https://t.co/CpMSnDjCMn\tCompound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  \tCompound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  \tnull\t781494204958662660\n2016-09-29 14:01:48.000\tSethGrimes\tStrataHadoop\tAspirational idealism, completely untrue, from @DJ44 #StrataHadoop https://t.co/VmqTJ4yfSy\tCompound 0.4019 Negative 0.0 Neutral 0.722 Positive 0.278  \tCompound 0.4019 Negative 0.0 Neutral 0.722 Positive 0.278  \tnull\t781494189930455040\n2016-09-29 14:01:28.000\tINFA_BD\tStrataHadoop\tAt #StrataHadoop? Come talk to @Informatica in booth #445 about powering your business with Data Lakes https://t.co/5obNYh9DfF\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781494104358354944\n2016-09-29 14:01:15.000\tzeroshade\tStrataHadoop\tRT @schmiani: White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781494051220643840\n2016-09-29 14:01:05.000\tTennysonTippy\tStrataHadoop\t\"Come help us. We can solve these problems together\" Disrupting The Cycle of Incarceration with Data  https://t.co/DVJyXvE77o #StrataHadoop\tCompound 0.2023 Negative 0.122 Neutral 0.676 Positive 0.203  \tCompound 0.2023 Negative 0.122 Neutral 0.676 Positive 0.203  \tnull\t781494005917970432\n2016-09-29 14:00:47.000\tYakima_TUG\tStrataHadoop\tRT @herdingbats: Use data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPK…\tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \tnull\t781493932043542531\n2016-09-29 14:00:42.000\tschmiani\tStrataHadoop\tWhite House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781493911562903556\n2016-09-29 14:00:42.000\tshrutikawani\tStrataHadoop\tRT MongoDB: At #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Ch… https://t.co/T2Cu79kMYO\tCompound 0.7319 Negative 0.0 Neutral 0.755 Positive 0.245  \tCompound 0.7319 Negative 0.0 Neutral 0.755 Positive 0.245  \tnull\t781493910971490332\n2016-09-29 14:00:30.000\tIntelITCenter\tStrataHadoop\t.@_NidhiC shares how Nervana and Intel will drive the future of AI: https://t.co/7HsHO10TFA #StrataHadoop\tCompound 0.296 Negative 0.0 Neutral 0.855 Positive 0.145  \tCompound 0.296 Negative 0.0 Neutral 0.855 Positive 0.145  \tnull\t781493862116327424\n2016-09-29 14:00:30.000\tIntelITCenter\tStrataHadoop\tFaster machine learning data models using Intel Performance Libraries. Get started here: https://t.co/qqDIM9jYYl #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781493862212767744\n2016-09-29 14:00:23.000\tIntelITCenter\tStrataHadoop\tHarness the power of technology &amp; data science skills in Apache and detect unknown threats. https://t.co/s0x0FYe81h #StrataHadoop #Intel\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781493829333618689\n2016-09-29 14:00:20.000\tINFA_BD\tStrataHadoop\tLIVE from #StrataHadoop: @dj44 gives a view of \"Data Science from the White House\" #GovIT https://t.co/rBlOMnClRT\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781493819636318208\n2016-09-29 14:00:13.000\thamzashaikh1\tStrataHadoop\tAt #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Chicago!… https://t.co/JYsb8WVWIR\tCompound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  \tCompound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  \tnull\t781493790796292096\n2016-09-29 14:00:03.000\tMongoDB\tStrataHadoop\tAt #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Chicago!… https://t.co/0BDwKzHPL5\tCompound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  \tCompound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  \tnull\t781493748391940096\n2016-09-29 13:59:49.000\tmikeloukides\tStrataHadoop\tThis isn’t big data; it’s mostly passing around spreadsheets. But it’s incredibly important. @dpatil #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781493690548314112\n2016-09-29 13:59:48.000\tmwakanosya\tStrataHadoop\tRT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781493682469998592\n2016-09-29 13:59:04.000\tcarolinabigonha\tStrataHadoop\t\"a technology is neither radical nor revolutionary unless it benefits everyone \" @DJ44 at @strataconf #StrataHadoop… https://t.co/eSDsTU83bD\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781493499363520512\n2016-09-29 13:58:54.000\tshakamunyi\tStrataHadoop\tRT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781493457474973697\n2016-09-29 13:58:47.000\trenato_umeton\tStrataHadoop\tRT @kdnuggets: #StrataHadoop Keynote DJ Patil @dj44: technology is not radical or revolutionary unless it benefits everyone\tCompound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  \tCompound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  \tnull\t781493427888328704\n2016-09-29 13:58:39.000\tRobertsPaige\tStrataHadoop\tWhite House data driven justice initiative. Vastly improved response to mental health calls. #StrataHadoop https://t.co/nDrsPegQ9c\tCompound 0.7579 Negative 0.0 Neutral 0.667 Positive 0.333  \tCompound 0.7579 Negative 0.0 Neutral 0.667 Positive 0.333  \tnull\t781493394484985857\n2016-09-29 13:58:28.000\tzeroshade\tStrataHadoop\tRT @herdingbats: Use data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPK…\tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \tnull\t781493348469186560\n2016-09-29 13:58:19.000\tmikeloukides\tStrataHadoop\tData driven justice initiative: use data to identify people in need, and linking them to services rather than prison. #StrataHadoop\tCompound 0.0258 Negative 0.134 Neutral 0.729 Positive 0.138  \tCompound 0.0258 Negative 0.134 Neutral 0.729 Positive 0.138  \tnull\t781493312696020992\n2016-09-29 13:58:08.000\tJohnEhrlinger\tStrataHadoop\tBoat party at #StrataHadoop last night. https://t.co/dkbtqCbJWD\tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \tnull\t781493265292034048\n2016-09-29 13:57:52.000\therdingbats\tStrataHadoop\tUse data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPKewWX1S\tCompound 0.3612 Negative 0.113 Neutral 0.657 Positive 0.23  \tCompound 0.3612 Negative 0.113 Neutral 0.657 Positive 0.23  \tnull\t781493196060762112\n2016-09-29 13:57:51.000\tginablaber\tStrataHadoop\tA technology is neither radical nor revolutionary unless it benefits everyone. US Chief Data Scientist DJ Patil @DJ44 #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.867 Positive 0.133  \tCompound 0.3818 Negative 0.0 Neutral 0.867 Positive 0.133  \tnull\t781493192520765441\n2016-09-29 13:57:43.000\timHealthy_2015\tStrataHadoop\tRT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781493161306697728\n2016-09-29 13:57:19.000\tEvanMarcusESG\tStrataHadoop\tRT @mijopo: Tech behind biggest journalism leak in history. #StrataHadoop https://t.co/Rea1gXuTA8\tCompound -0.34 Negative 0.194 Neutral 0.806 Positive 0.0  \tCompound -0.34 Negative 0.194 Neutral 0.806 Positive 0.0  \tnull\t781493059787841536\n2016-09-29 13:56:36.000\tapachetinkerpop\tStrataHadoop\tRT @AndySchaul: A beautiful portrayal of big data, graphs &amp; 🌽🌽🌽 genetics from @TimWilliate &amp; @emileifrem at #StrataHadoop: https://t.co/dIv…\tCompound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  \tCompound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  \tnull\t781492877662846976\n2016-09-29 13:56:22.000\ttashay_g\tStrataHadoop\tThe three largest mental facilities in our country are LA County jail, Cook County jail, and Rikers Island. Not hospitals. #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492820200816640\n2016-09-29 13:56:14.000\timHealthy_2015\tStrataHadoop\tRT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781492788412067840\n2016-09-29 13:56:14.000\tcarissa_shafto\tStrataHadoop\t\"A technology is neither radical nor revolutionary unless it benefits everyone\" @DJ44 #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \tnull\t781492787271327745\n2016-09-29 13:56:02.000\twimlds\tStrataHadoop\tLA County, Cook County &amp; Rikers Island are the 3 largest mental health institutions in US #StrataHadoop https://t.co/qDz1WRDFJO\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492736562171904\n2016-09-29 13:55:53.000\tRobertsPaige\tStrataHadoop\tReal world Winter Soldier arm mapped to nerves. Dexterous and stronger than the original. @dj44  #StrataHadoop https://t.co/UHOtkcIOZF\tCompound 0.5423 Negative 0.069 Neutral 0.69 Positive 0.241  \tCompound 0.5423 Negative 0.069 Neutral 0.69 Positive 0.241  \tnull\t781492698448596992\n2016-09-29 13:55:43.000\tamcasari\tStrataHadoop\tRT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492655595282432\n2016-09-29 13:55:41.000\tAFontPerez\tStrataHadoop\t#StrataHadoop Keynote DJ Patil dj44: technology is not radical or revolutionary unless it benefits everyone\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781492647160606720\n2016-09-29 13:55:38.000\tpythianpartners\tStrataHadoop\t@GCPBigData BigQuery PM Chad Jennings announcing new enterprise features #StrataHadoop https://t.co/aGAz5gFvf9\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492637291405312\n2016-09-29 13:55:35.000\tdanwoodsearly\tStrataHadoop\t@kimknilsson, CEO of Pivigo, showed me how bite-sized projects accelerate data science adoption. https://t.co/MIeHVwINsg #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492623387291648\n2016-09-29 13:55:33.000\tTennysonTippy\tStrataHadoop\t\"A technology is neither radical nor revolutionary unless it benefits everyone\" DJ Patil #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \tnull\t781492614113660928\n2016-09-29 13:55:30.000\tkathykmy\tStrataHadoop\t.@dj44: \"A technology is neither radical nor revolutionary unless it benefits everyone.\" #StrataHadoop https://t.co/1C404CC7yk\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \tnull\t781492603980247040\n2016-09-29 13:55:14.000\tSageLegion\tStrataHadoop\tRT @SVDataScience: At #StrataHadoop NY? Come by 3D 12 at 9am to hear @BigDataAnalysis, @steveos, and @mjvacas talk about data platforms htt…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492534761533440\n2016-09-29 13:55:10.000\tzeroshade\tStrataHadoop\tAmen to @DJ44 #StrataHadoop https://t.co/AQRAcKI927\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492516994572288\n2016-09-29 13:55:09.000\tKhanolkarAA\tStrataHadoop\tRT @mikeloukides: A technology is neither radical nor revolutionary unless it benefits everyone. @dpatil #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \tnull\t781492514008211456\n2016-09-29 13:55:08.000\tba_datascience\tStrataHadoop\tstrataconf: RT vboykis: US chief data scientist, DJ44. Fourth  talk at #StrataHadoop about handling data responsib… https://t.co/LTBaicX7xQ\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492509868523520\n2016-09-29 13:55:00.000\tEmad_Alsa\tStrataHadoop\tData support of medical advancements in prosthetic #StrataHadoop https://t.co/8shh6KxWRI\tCompound 0.4019 Negative 0.0 Neutral 0.748 Positive 0.252  \tCompound 0.4019 Negative 0.0 Neutral 0.748 Positive 0.252  \tnull\t781492475168972800\n2016-09-29 13:54:49.000\tandyhpalmer\tStrataHadoop\tRT @Tamr_Inc: .@ihabilyas Tackling Machine-Learning Complexity for Data Curation today #StrataHadoop https://t.co/9N90GE218P https://t.co/j…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492428792627200\n2016-09-29 13:54:41.000\ttashay_g\tStrataHadoop\t@LynnOvermann talking about how data is used to reform the criminal justice system #StrataHadoop\tCompound 0.0 Negative 0.181 Neutral 0.638 Positive 0.181  \tCompound 0.0 Negative 0.181 Neutral 0.638 Positive 0.181  \tnull\t781492398287388672\n2016-09-29 13:54:12.000\treshamas\tStrataHadoop\tA technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \tnull\t781492274316316672\n2016-09-29 13:54:10.000\tSuzAxtell\tStrataHadoop\tAnother important keynote at #StrataHadoop from @DJ44 spanning opioid epidemic, transportation, coding education. D… https://t.co/7kTl8ovPJm\tCompound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  \tCompound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  \tnull\t781492268591149056\n2016-09-29 13:54:08.000\tSageLegion\tStrataHadoop\tRT @strataconf: Day 2 of #StrataHadoop keynotes are starting now - @cutting @acroll &amp; @rogerm on stage. Watch live at https://t.co/Gq1dcmqk…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492257488642048\n2016-09-29 13:54:08.000\tzeroshade\tStrataHadoop\tHoly hell this was amazing!! #StrataHadoop https://t.co/nmUPEQ47CP\tCompound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  \tCompound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  \tnull\t781492259766300672\n2016-09-29 13:54:07.000\tTennysonTippy\tStrataHadoop\tDJ Patil from the White House Office of Technology &amp; the intersection of data and civil rights https://t.co/G0JFDhcg9P #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781492256171757568\n2016-09-29 13:53:57.000\tEvanMarcusESG\tStrataHadoop\tA technology is neither radical not revolutionary unless it benefits EVERYONE! -- DJ Patil #StrataHadoop\tCompound 0.4389 Negative 0.0 Neutral 0.818 Positive 0.182  \tCompound 0.4389 Negative 0.0 Neutral 0.818 Positive 0.182  \tnull\t781492211288506369\n2016-09-29 13:53:57.000\troxtayor\tStrataHadoop\tRT @CDOSummit: Great keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the https://t…\tCompound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  \tCompound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  \tnull\t781492211779309568\n2016-09-29 13:53:56.000\tkdnuggets\tStrataHadoop\t#StrataHadoop Keynote DJ Patil @dj44: technology is not radical or revolutionary unless it benefits everyone\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781492208394465282\n2016-09-29 13:53:51.000\tmargaretpearce\tStrataHadoop\t\"A technology is neither radical nor revolutionary unless it benefits everyone\" #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.794 Positive 0.206  \tCompound 0.3818 Negative 0.0 Neutral 0.794 Positive 0.206  \tnull\t781492187666190337\n2016-09-29 13:53:41.000\trikturr\tStrataHadoop\t\"A technology is neither radical nor revolutionary unless it benefits everyone.\" @dpatil at #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.776 Positive 0.224  \tCompound 0.3818 Negative 0.0 Neutral 0.776 Positive 0.224  \tnull\t781492147094745088\n2016-09-29 13:53:41.000\ttashay_g\tStrataHadoop\tA technology is neither radical nor revolutionary unless it benefits EVERYONE. @DJ44 #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \tnull\t781492145039482880\n2016-09-29 13:53:37.000\turblg\tStrataHadoop\tRT @kdnuggets: #StrataHadoop Keynote @ICIJorg Investigative Journalists amazing work brought #PanamaPapers #BigData support them at https:/…\tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \tnull\t781492127129677825\n2016-09-29 13:53:15.000\tmikeloukides\tStrataHadoop\tA technology is neither radical nor revolutionary unless it benefits everyone. @dpatil #StrataHadoop\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \tnull\t781492034767126529\n2016-09-29 13:52:56.000\tpythianpartners\tStrataHadoop\tRT @strataconf: Chad W. Jennings keynote, @Google BigQueryproduct for enterprise at #StrataHadoop is now live https://t.co/Gq1dcmqkbX https…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781491957885460480\n2016-09-29 13:52:21.000\twimlds\tStrataHadoop\tRT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781491811537805312\n2016-09-29 13:52:06.000\tCDOSummit\tStrataHadoop\tGreat keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the… https://t.co/S3h2wEmIIK\tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \tnull\t781491745867571200\n2016-09-29 13:52:01.000\tVeracityMedia\tStrataHadoop\tThe Data-Driven Justice Initiative led by @DJ44 is using data science for criminal justice reform: https://t.co/sfrWpOPVxm #StrataHadoop\tCompound 0.5267 Negative 0.14 Neutral 0.579 Positive 0.281  \tCompound 0.5267 Negative 0.14 Neutral 0.579 Positive 0.281  \tnull\t781491724497530884\n2016-09-29 13:51:59.000\tAndySchaul\tStrataHadoop\tA beautiful portrayal of big data, graphs &amp; 🌽🌽🌽 genetics from @TimWilliate &amp; @emileifrem at #StrataHadoop: https://t.co/dIvDMRb5Xz #neo4j\tCompound 0.5994 Negative 0.0 Neutral 0.606 Positive 0.394  \tCompound 0.5994 Negative 0.0 Neutral 0.606 Positive 0.394  \tnull\t781491715521654784\n2016-09-29 13:51:08.000\tCRSSULL\tStrataHadoop\tRT @HDPartnerworks: #StrataHadoop NYC is here! Meet @DellEMC @Pivotal and @IBM at our booth #409 today: https://t.co/whTi7NK3qR  #futureofd…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781491502421794818\n2016-09-29 13:51:07.000\tandrewbt\tStrataHadoop\tAt #StrataHadoop, @dj44 asks why 100 people will die on roads today. His suggestion: distracted driving. Mine: poor transpo design &amp; policy\tCompound -0.8555 Negative 0.343 Neutral 0.657 Positive 0.0  \tCompound -0.8555 Negative 0.343 Neutral 0.657 Positive 0.0  \tnull\t781491498944724992\n2016-09-29 13:51:02.000\tsrsabu\tStrataHadoop\tNeed an Nvidia Titan X and deep learning to optimize my show floor swag collection path. @NvidiaAI #StrataHadoop\tCompound 0.4939 Negative 0.0 Neutral 0.833 Positive 0.167  \tCompound 0.4939 Negative 0.0 Neutral 0.833 Positive 0.167  \tnull\t781491480061997056\n2016-09-29 13:50:08.000\ttashay_g\tStrataHadoop\tThe Opportunity Project will release 40 new projects next Thursday. Showing how corporations are using federal data. #StrataHadoop\tCompound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  \tCompound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  \tnull\t781491250558009345\n2016-09-29 13:50:08.000\tmikeloukides\tStrataHadoop\tHow do you use data to empower people who don’t have access to technology? Opportunity project, teaching kids to code @dpatil #StrataHadoop\tCompound 0.4871 Negative 0.0 Neutral 0.869 Positive 0.131  \tCompound 0.4871 Negative 0.0 Neutral 0.869 Positive 0.131  \tnull\t781491251799592960\n2016-09-29 13:49:58.000\tvboykis\tStrataHadoop\tUS chief data scientist, @DJ44. Fourth  talk at #StrataHadoop about handling data responsibly and collaboratively.  Like this trend.\tCompound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  \tCompound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  \tnull\t781491209734881281\n2016-09-29 13:49:57.000\tBeTheMedia\tStrataHadoop\tGreat keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the… https://t.co/Bd0ZBN99pN\tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \tnull\t781491205238624260\n2016-09-29 13:49:40.000\tpeerside\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781491135948750848\n2016-09-29 13:49:35.000\tSageLegion\tStrataHadoop\tRT @splicemachine: Good morning #StrataHadoop! Stop by booth 410 today to learn about Lambda in a Box, and stick around for something extra…\tCompound 0.2481 Negative 0.087 Neutral 0.788 Positive 0.126  \tCompound 0.2481 Negative 0.087 Neutral 0.788 Positive 0.126  \tnull\t781491111797719041\n2016-09-29 13:49:05.000\tTekunoTech\tStrataHadoop\tRT @INFA_BD: LIVE at #StrataHadoop: @Cisco Director @tobranno talks about blocking 23 million #cyberattacks at the connected Rio #Olympics.…\tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \tnull\t781490988682444801\n2016-09-29 13:48:21.000\tLawrenceHecht\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781490802103087104\n2016-09-29 13:48:17.000\treshamas\tStrataHadoop\tThe number of Americans that died on US roads | @DJ44 #StrataHadoop https://t.co/dbzBFZ3Du7\tCompound -0.5106 Negative 0.242 Neutral 0.671 Positive 0.087  \tCompound -0.5106 Negative 0.242 Neutral 0.671 Positive 0.087  \tnull\t781490785258708996\n2016-09-29 13:47:17.000\ttopiclysmm\tStrataHadoop\tRT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \tnull\t781490535357906944\n2016-09-29 13:47:03.000\tdmenningervr\tStrataHadoop\t.@dj44 mission of US Chief Data Scientist: responsibly use data to benefit all Americans #StrataHadoop\tCompound 0.4588 Negative 0.0 Neutral 0.824 Positive 0.176  \tCompound 0.4588 Negative 0.0 Neutral 0.824 Positive 0.176  \tnull\t781490476948025344\n2016-09-29 13:46:57.000\tDebraYamashita\tStrataHadoop\tRT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \tnull\t781490450159075328\n2016-09-29 13:46:49.000\tshakamunyi\tStrataHadoop\tRT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781490419028852737\n2016-09-29 13:46:47.000\tba_datascience\tStrataHadoop\tstrataconf: RT zeroshade: When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", OReillyMed… https://t.co/ehK2FOmf7U\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781490407444254720\n2016-09-29 13:46:39.000\tDHenschen\tStrataHadoop\tRT @tashay_g: Next up DJ Patil @DJ44, talking about the use of data for initiatives at The White House #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781490374397333504\n2016-09-29 13:46:36.000\tdanielleodean\tStrataHadoop\tSee you this afternoon at one of my sessions! #StrataHadoop #CortanaIntelligence https://t.co/SB2kU3FeKB\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781490363160731648\n2016-09-29 13:46:34.000\tbgeerdink\tStrataHadoop\t@DJ44 is the chief data scientist of the @WhiteHouse, that sounds like a cool job! #StrataHadoop\tCompound 0.6239 Negative 0.0 Neutral 0.719 Positive 0.281  \tCompound 0.6239 Negative 0.0 Neutral 0.719 Positive 0.281  \tnull\t781490354210140166\n2016-09-29 13:46:34.000\tSethGrimes\tStrataHadoop\t.@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp;… https://t.co/ak258uJHCB\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781490354424086528\n2016-09-29 13:46:33.000\treshamas\tStrataHadoop\t@DJ44 US Chief Data Scientist keynoting at #StrataHadoop https://t.co/o8Vy9WB9WN\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781490348740796416\n2016-09-29 13:46:32.000\ttashay_g\tStrataHadoop\tPresident Obama created U.S. Chief Data Scientist position roughly 2yrs ago #StrataHadoop\tCompound 0.25 Negative 0.0 Neutral 0.846 Positive 0.154  \tCompound 0.25 Negative 0.0 Neutral 0.846 Positive 0.154  \tnull\t781490345574096896\n2016-09-29 13:46:21.000\tmikeloukides\tStrataHadoop\tMission to responsibly unleash the power of data to benefit all Americans. Important words “Responsibly” &amp; “all” @dpatil #StrataHadoop\tCompound 0.6322 Negative 0.0 Neutral 0.731 Positive 0.269  \tCompound 0.6322 Negative 0.0 Neutral 0.731 Positive 0.269  \tnull\t781490301265469440\n2016-09-29 13:46:16.000\tmargaretpearce\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781490280163840000\n2016-09-29 13:45:52.000\tEvanMarcusESG\tStrataHadoop\tJust saw @Googlecloud Big Query search 1.9 petabytes of data in 3.5 minutes. Wow! #StrataHadoop\tCompound 0.6239 Negative 0.0 Neutral 0.774 Positive 0.226  \tCompound 0.6239 Negative 0.0 Neutral 0.774 Positive 0.226  \tnull\t781490177210478592\n2016-09-29 13:45:36.000\tSorishaPragyan\tStrataHadoop\tRT @nrouda: Wow, 1.09 PB scanned in roughly 3.5 minutes by @googlecloud BigQuery cloud data warehouse. #StrataHadoop\tCompound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  \tCompound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  \tnull\t781490110122565632\n2016-09-29 13:45:30.000\ttashay_g\tStrataHadoop\tNext up DJ Patil @DJ44, talking about the use of data for initiatives at The White House #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781490086336729088\n2016-09-29 13:45:07.000\trandersonperez\tStrataHadoop\tRT @INFA_BD: LIVE at #StrataHadoop: @cabralens talks about how #cloud and #bigdata impacted the #PanamaPapers leak. #journalism #cybersecur…\tCompound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  \tCompound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  \tnull\t781489989469085696\n2016-09-29 13:44:35.000\tcarissa_shafto\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781489855960379393\n2016-09-29 13:44:26.000\tBimalTandel\tStrataHadoop\tRT @ClouderaEvents: 20% of @Cloudera customer workloads are now in the cloud - Tom Reilly #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781489817074925568\n2016-09-29 13:44:19.000\tmikehking\tStrataHadoop\tAmazing how services like @googlecloud computer vision API and @DataRobot are abstracting ML, to make it super-accessible #StrataHadoop\tCompound 0.8074 Negative 0.0 Neutral 0.644 Positive 0.356  \tCompound 0.8074 Negative 0.0 Neutral 0.644 Positive 0.356  \tnull\t781489787375067136\n2016-09-29 13:44:17.000\tDHenschen\tStrataHadoop\tRT @nrouda: Wow, 1.09 PB scanned in roughly 3.5 minutes by @googlecloud BigQuery cloud data warehouse. #StrataHadoop\tCompound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  \tCompound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  \tnull\t781489778248314880\n2016-09-29 13:43:59.000\tnrouda\tStrataHadoop\tWow, 1.09 PB scanned in roughly 3.5 minutes by @googlecloud BigQuery cloud data warehouse. #StrataHadoop\tCompound 0.5859 Negative 0.0 Neutral 0.787 Positive 0.213  \tCompound 0.5859 Negative 0.0 Neutral 0.787 Positive 0.213  \tnull\t781489705242198016\n2016-09-29 13:43:25.000\tmonica1mullen\tStrataHadoop\tRT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \tnull\t781489562916761600\n2016-09-29 13:43:24.000\tINFA_BD\tStrataHadoop\tLIVE at #StrataHadoop: @Cisco Director @tobranno talks about blocking 23 million #cyberattacks at the connected Rio… https://t.co/GsuL5jqUvr\tCompound -0.3818 Negative 0.14 Neutral 0.86 Positive 0.0  \tCompound -0.3818 Negative 0.14 Neutral 0.86 Positive 0.0  \tnull\t781489558756155392\n2016-09-29 13:43:10.000\tcarissa_shafto\tStrataHadoop\tRT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781489498676948992\n2016-09-29 13:42:59.000\tdmenningervr\tStrataHadoop\tChad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSGzTNpOAW\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781489451004485632\n2016-09-29 13:42:31.000\tBimalTandel\tStrataHadoop\tRT @Oracle: Tired of waiting in lines for a taxi? The wait is over! Ride in style in an Oracle Tesla. Free for #StrataHadoop attendees! #Or…\tCompound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  \tCompound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  \tnull\t781489333643665408\n2016-09-29 13:42:24.000\tjuliancheng\tStrataHadoop\tRT @CrowdFlower: Join @rimmanehme and @l2k today @ 11:20 a.m. in room 1E 09 at #StrataHadoop on \"What Will #MachineLearning Be Like in 2013…\tCompound 0.5719 Negative 0.0 Neutral 0.817 Positive 0.183  \tCompound 0.5719 Negative 0.0 Neutral 0.817 Positive 0.183  \tnull\t781489305617309696\n2016-09-29 13:42:18.000\treshamas\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781489280577376256\n2016-09-29 13:41:49.000\twimlds\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781489159080931328\n2016-09-29 13:41:45.000\tteropaananen\tStrataHadoop\t2 by bad actors I mean criminals as well as corporations abusing your private data for greed #StrataHadoop\tCompound -0.8957 Negative 0.496 Neutral 0.423 Positive 0.081  \tCompound -0.8957 Negative 0.496 Neutral 0.423 Positive 0.081  \tnull\t781489142505103360\n2016-09-29 13:41:21.000\tBimalTandel\tStrataHadoop\tRT @zeroshade: When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", @OReillyMedia matched all the donations and ra…\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781489040520515584\n2016-09-29 13:41:09.000\tBimalTandel\tStrataHadoop\tRT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781488990700630016\n2016-09-29 13:41:03.000\therdingbats\tStrataHadoop\tRT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \tnull\t781488966105178112\n2016-09-29 13:40:55.000\tSorishaPragyan\tStrataHadoop\tRT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781488931946827776\n2016-09-29 13:40:52.000\tVishalStudio\tStrataHadoop\tRT @margaretpearce: Machine learning on human vision/ LASIK. L1 ~ 0.07, age is an important feature. Fascinating! #StrataHadoop #Microsoft…\tCompound 0.68 Negative 0.0 Neutral 0.741 Positive 0.259  \tCompound 0.68 Negative 0.0 Neutral 0.741 Positive 0.259  \tnull\t781488918109818880\n2016-09-29 13:40:49.000\tba_datascience\tStrataHadoop\tstrataconf: Chad W. Jennings keynote, Google BigQueryproduct for enterprise at #StrataHadoop is now live… … https://t.co/G93yva3Rgr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781488907561164800\n2016-09-29 13:40:39.000\tSorishaPragyan\tStrataHadoop\tRT @Libertyhere: \"Just like Big Data gave the Cloud something to do, Machine Learning has given Big Data something to do\". #StrataHadoop\tCompound 0.3612 Negative 0.0 Neutral 0.894 Positive 0.106  \tCompound 0.3612 Negative 0.0 Neutral 0.894 Positive 0.106  \tnull\t781488863369977856\n2016-09-29 13:40:24.000\tsahil29nov\tStrataHadoop\tRT @INFA_BD: Collaboratively find, prepare, and govern data for analysis https://t.co/0DpJo2mIm2 #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781488801734660097\n2016-09-29 13:40:17.000\tSuzAxtell\tStrataHadoop\t.@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintech!\tCompound 0.4753 Negative 0.0 Neutral 0.808 Positive 0.192  \tCompound 0.4753 Negative 0.0 Neutral 0.808 Positive 0.192  \tnull\t781488773762781184\n2016-09-29 13:40:12.000\ttashay_g\tStrataHadoop\tLearning about Google BigQuery from Chad Jennings #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781488750392176640\n2016-09-29 13:40:04.000\therdingbats\tStrataHadoop\tRT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781488716644769792\n2016-09-29 13:40:03.000\tsinghjaspreet\tStrataHadoop\tReasons to put your data ware house in Big Query #StrataHadoop https://t.co/up61ev6yHi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781488714811858948\n2016-09-29 13:40:01.000\tLibertyhere\tStrataHadoop\t\"Just like Big Data gave the Cloud something to do, Machine Learning has given Big Data something to do\". #StrataHadoop\tCompound 0.3612 Negative 0.0 Neutral 0.884 Positive 0.116  \tCompound 0.3612 Negative 0.0 Neutral 0.884 Positive 0.116  \tnull\t781488705701711872\n2016-09-29 13:40:00.000\tDatagrrl\tStrataHadoop\tRT @nrouda: Rio Olympics powered by @cisco big data, @tobranno showing all the connections as a juicy attack target. #StrataHadoop #stratac…\tCompound -0.4767 Negative 0.14 Neutral 0.86 Positive 0.0  \tCompound -0.4767 Negative 0.14 Neutral 0.86 Positive 0.0  \tnull\t781488701906051072\n2016-09-29 13:39:56.000\tdoctordindsay\tStrataHadoop\tParty on the USS Intrepid. #StrataHadoop https://t.co/elTPwA2vUy\tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \tnull\t781488683539132417\n2016-09-29 13:39:43.000\ttareqgemee\tStrataHadoop\tProtecting Big Data is essential, not optional. Learn why #StrataHadoop https://t.co/wSZ11iMPTz #IWork4Dell\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781488631345213441\n2016-09-29 13:39:26.000\tbiconnections\tStrataHadoop\tRT @kdnuggets: #StrataHadoop Keynote @ICIJorg Investigative Journalists amazing work brought #PanamaPapers #BigData support them at https:/…\tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \tCompound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  \tnull\t781488559610073089\n2016-09-29 13:38:43.000\ttashay_g\tStrataHadoop\t$15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \tnull\t781488378625810432\n2016-09-29 13:38:34.000\tMackenzie_MacD\tStrataHadoop\tRT @strataconf: Day 2 of #StrataHadoop keynotes are starting now - @cutting @acroll &amp; @rogerm on stage. 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Deep learning is only a PIECE of the whole AI puzzle. #StrataHadoop","null","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781498788770934784"],["2016-09-29 14:19:14.000","mijopo","StrataHadoop","Deep learning necessary but not nearly sufficient for strong AI notes Gary Marcus. #StrataHadoop","null","Compound 0.6652 Negative 0.0 Neutral 0.745 Positive 0.255  ","null","781498574559440896"],["2016-09-29 14:19:01.000","CiscoEIR","StrataHadoop","#StrataHadoop NYC 2016 brings announcement from #CiscoEIR alum #startup @Zoomdata. https://t.co/rOEj2p8Tx0","null","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781498518603173889"],["2016-09-29 14:17:49.000","RW3Tech","StrataHadoop","If you want to show up in style to #StrataHadoop  #Oracle &amp; #Tesla have you covered. #Nice #Wheels #Electric #Green https://t.co/SIEgWDBzGm","null","Compound 0.0772 Negative 0.0 Neutral 0.894 Positive 0.106  ","null","781498219100381186"],["2016-09-29 14:17:35.000","TechCertify","StrataHadoop","RT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…","null","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","null","781498158199234560"],["2016-09-29 14:17:31.000","laybor","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right","null","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781498141828902912"],["2016-09-29 14:17:24.000","renato_umeton","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts","null","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781498115404824576"],["2016-09-29 14:16:58.000","jmscrts","StrataHadoop","Just when you thought #StrataHadoop was going to the suits, code shows up in the @google #bigquery keynote. Nice.","Compound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  ","Compound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  ","null","781498003718897664"],["2016-09-29 14:16:56.000","laybor","StrataHadoop","RT @kdnuggets: #StrataHadoop Keynote @ICIJorg Investigative Journalists amazing work brought #PanamaPapers #BigData support them at https:/…","Compound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  ","Compound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  ","null","781497996416577536"],["2016-09-29 14:16:43.000","MDMGeek","StrataHadoop","3 breakthroughs of AI #StrataHadoop https://t.co/WVrksU2xJj","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497942926565376"],["2016-09-29 14:16:33.000","marikokoloco","StrataHadoop","RT @Informatica: \"The US Chief Data Scientist must responsibly release the power of data to benefit ALL Americans\" - @dj44 at #StrataHadoop…","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","null","781497898835992576"],["2016-09-29 14:16:22.000","shethakina","StrataHadoop","RT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","null","781497852325494784"],["2016-09-29 14:16:04.000","laybor","StrataHadoop","RT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","null","781497777155170304"],["2016-09-29 14:16:03.000","ba_datascience","StrataHadoop","strataconf: .GaryMarcus on stage at #StrataHadoop: From #bigdata to human-level #artificialintelligence. Watch liv… https://t.co/WTcCENMTDi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497774906941440"],["2016-09-29 14:15:46.000","mikeloukides","StrataHadoop","What are the limitations of deep learning and AI? In broad, open ended problems, little progress  @GaryMarcus #StrataHadoop","Compound -0.0498 Negative 0.127 Neutral 0.754 Positive 0.118  ","Compound -0.0498 Negative 0.127 Neutral 0.754 Positive 0.118  ","null","781497701116575745"],["2016-09-29 14:15:44.000","BigDataBRA","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","null","781497695190024196"],["2016-09-29 14:15:31.000","EvanMarcusESG","StrataHadoop","Amazing video on analyzing data with augmented reality #StrataHadoop https://t.co/yLGMZXBeGh","Compound 0.5859 Negative 0.0 Neutral 0.703 Positive 0.297  ","Compound 0.5859 Negative 0.0 Neutral 0.703 Positive 0.297  ","null","781497637904195585"],["2016-09-29 14:15:28.000","MathMusicMole","StrataHadoop","RT @Tamr_Inc: .@ihabilyas Tackling Machine-Learning Complexity for Data Curation today #StrataHadoop https://t.co/9N90GE218P https://t.co/j…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497628924190720"],["2016-09-29 14:15:16.000","kriaashah","StrataHadoop","RT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","null","781497575505596416"],["2016-09-29 14:15:14.000","ClouderaEvents","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497566445834240"],["2016-09-29 14:15:04.000","ClouderaEvents","StrataHadoop","RT @kathykmy: .@DJ44 addresses #StrataHadoop the last time as US Chief #DataScientist: \"We need you--a voice from the data commuinty at the…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497524624424960"],["2016-09-29 14:14:59.000","raja_roy","StrataHadoop","IBM Rocks at #StrataHadoop with AR demo in keynote session","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497505108398080"],["2016-09-29 14:14:16.000","tashay_g","StrataHadoop","From big data to human-level AI by @GaryMarcus #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497324258336768"],["2016-09-29 14:14:09.000","iam_kumarr","StrataHadoop","RT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","null","781497296038998017"],["2016-09-29 14:14:03.000","IpponUSA","StrataHadoop","RT @ASeigneurin: Inspiring keynotes at #StrataHadoop today. All about improving healthcare, the jail system, access to information... Not j…","Compound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  ","Compound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  ","null","781497271661826048"],["2016-09-29 14:14:02.000","ChrisSeminoff","StrataHadoop","bigdata: Two neuroscientists SamWangPhD GaryMarcus about to speak on the main stage at #StrataHadoop https://t.co/YA8zYDJvOQ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497267387822080"],["2016-09-29 14:13:57.000","cloudera","StrataHadoop","RT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","null","781497246961508352"],["2016-09-29 14:13:43.000","biconnections","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497187104612352"],["2016-09-29 14:13:33.000","binaryloom","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","null","781497145962618885"],["2016-09-29 14:13:33.000","Dee_Marketing","StrataHadoop","RT @strataconf: .@GaryMarcus on stage at #StrataHadoop: From #bigdata to human-level #artificialintelligence. Watch live at https://t.co/Gq…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781497146860265472"],["2016-09-29 14:13:29.000","lheritier","StrataHadoop","RT @ASeigneurin: Inspiring keynotes at #StrataHadoop today. All about improving healthcare, the jail system, access to information... Not j…","Compound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  ","Compound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  ","null","781497125985251332"],["2016-09-29 14:13:20.000","RW3Tech","StrataHadoop","Busy day at #StrataHadoop so much going on. Be sure to check out @marvinwinsagain  #Innovation #IBM #Big #data… https://t.co/diE6zqeBli","Compound 0.3182 Negative 0.0 Neutral 0.887 Positive 0.113  ","Compound 0.3182 Negative 0.0 Neutral 0.887 Positive 0.113  ","null","781497092040560640"],["2016-09-29 14:13:15.000","Mickyga","StrataHadoop","RT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","null","781497068586168321"],["2016-09-29 14:12:30.000","OttLegalRebels","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","null","781496880165367808"],["2016-09-29 14:12:25.000","tmat1","StrataHadoop","Visit Cisco booth #833 to attend our Demo Theater Sessions (every 20 mins) &amp; enter to win a Parrot Bebop 2 Drone. @CiscoDC #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496860607324162"],["2016-09-29 14:12:13.000","OttLegalRebels","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496808904142848"],["2016-09-29 14:12:04.000","AmyVGaskins","StrataHadoop","RT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","null","781496771495112704"],["2016-09-29 14:12:03.000","Libertyhere","StrataHadoop","The \"new\" von neumann bottleneck is getting insights from the computer into the human brain. @IBMbigdata + @ApacheSpark #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496769133719552"],["2016-09-29 14:11:56.000","AFontPerez","StrataHadoop","#StrataHadoop DJ Patil dj44: you need to focus on the #individual - then you will always be right","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496737722724352"],["2016-09-29 14:11:49.000","ankurt","StrataHadoop","RT @danielleodean: See you this afternoon at one of my sessions! #StrataHadoop #CortanaIntelligence https://t.co/SB2kU3FeKB","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496707297210368"],["2016-09-29 14:11:35.000","bigdata","StrataHadoop","Two neuroscientists SamWangPhD @GaryMarcus about to speak on the main stage at #StrataHadoop https://t.co/tijsvrH83a","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496649562619904"],["2016-09-29 14:11:14.000","joshwitten","StrataHadoop","RT @mikeloukides: The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop","Compound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  ","Compound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  ","null","781496563176726528"],["2016-09-29 14:11:12.000","joshwitten","StrataHadoop","RT @mikeloukides: Every data science training program must include ethics &amp; security @dpatil #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496552380588032"],["2016-09-29 14:10:44.000","ishikaatanna","StrataHadoop","RT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","null","781496436072538112"],["2016-09-29 14:10:33.000","attunity","StrataHadoop","SOLUTION SHOWCASE with @ItamarAnkorion at #StrataHadoop 9/29 at 11am! Efficient Data Ingest at Scale with #Attunity #CDC #Kafka and more!","Compound 0.7519 Negative 0.0 Neutral 0.737 Positive 0.263  ","Compound 0.7519 Negative 0.0 Neutral 0.737 Positive 0.263  ","null","781496388878274560"],["2016-09-29 14:10:27.000","FFontanot","StrataHadoop","Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"","Compound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  ","Compound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  ","null","781496365851537408"],["2016-09-29 14:10:14.000","IBMDataScience","StrataHadoop","RT @udayte: .@robdthomas demoing an augmented reality demo at #StrataHadoop https://t.co/6Bf2Piko6N","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496308146241536"],["2016-09-29 14:10:08.000","SudheerThulluri","StrataHadoop","RT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","null","781496286847434752"],["2016-09-29 14:09:47.000","udayte","StrataHadoop",".@robdthomas demoing an augmented reality demo at #StrataHadoop https://t.co/6Bf2Piko6N","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496197672493056"],["2016-09-29 14:09:42.000","erncrts","StrataHadoop","RT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496175405006848"],["2016-09-29 14:09:41.000","chenghlee","StrataHadoop","RT @mikeloukides: The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop","Compound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  ","Compound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  ","null","781496173018226693"],["2016-09-29 14:09:40.000","aronchick","StrataHadoop","RT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496167016308736"],["2016-09-29 14:09:39.000","chenghlee","StrataHadoop","RT @mikeloukides: Every data science training program must include ethics &amp; security @dpatil #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496164281569280"],["2016-09-29 14:09:38.000","INFA_BD","StrataHadoop","LIVE at #StrataHadoop: @Lynnovermann shares the need to use #DataSciencea to transform the US criminal justice syst… https://t.co/EYbH3sb9zD","Compound 0.296 Negative 0.142 Neutral 0.625 Positive 0.233  ","Compound 0.296 Negative 0.142 Neutral 0.625 Positive 0.233  ","null","781496160867479553"],["2016-09-29 14:09:34.000","CamSemantics","StrataHadoop","RT @mloughlin: Last day for @CamSemantics at #StrataHadoop , come by to learn about the smart #datalake booth 564","Compound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  ","Compound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  ","null","781496141301026816"],["2016-09-29 14:09:16.000","kimknilsson","StrataHadoop","Thanks @danwoodsearly for the great chat! @PivigoHub #StrataHadoop https://t.co/BpXZhbWWVI","Compound 0.807 Negative 0.0 Neutral 0.49 Positive 0.51  ","Compound 0.807 Negative 0.0 Neutral 0.49 Positive 0.51  ","null","781496066462089216"],["2016-09-29 14:09:15.000","ba_datascience","StrataHadoop","Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"","Compound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  ","Compound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  ","null","781496064402657280"],["2016-09-29 14:09:03.000","mccannst","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: every #DataScience training program must include #Ethics and #Security","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781496012292493312"],["2016-09-29 14:08:56.000","innova_scape","StrataHadoop","RT  #StrataHadoop DJ Patil dj44: US government needs you, #DataScience &amp; #BigData experts https://t.co/JGWMkaH6H4 https://t.co/N40EjW8hJP","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495984115240960"],["2016-09-29 14:08:55.000","innova_scape","StrataHadoop","RT  #StrataHadoop DJ Patil dj44: every #DataScience training program must include #Ethics… https://t.co/LCuxIqBMUB https://t.co/qHTpeuKBgJ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495979010764800"],["2016-09-29 14:08:48.000","innova_scape","StrataHadoop","RT  #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts https://t.co/N1ubR8tM4n https://t.co/dvtRe9dNw2","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495949881253888"],["2016-09-29 14:08:47.000","innova_scape","StrataHadoop","RT  #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts https://t.co/kLs3s9luIt https://t.co/TF9YeFNBm2","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495943241748480"],["2016-09-29 14:08:18.000","nrouda","StrataHadoop","New biggest computing issue is \"speed at which we can move information from machines to humans.\" @IBMAnalytics @robdthomas at #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495821544087552"],["2016-09-29 14:08:17.000","tashay_g","StrataHadoop","@RobThomas tells us how to Bring Data to Life with Immersive Visualization  #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495819308589056"],["2016-09-29 14:07:54.000","data_nerd","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495724223688705"],["2016-09-29 14:07:40.000","BobYelland","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","null","781495662714257408"],["2016-09-29 14:07:40.000","kathykmy","StrataHadoop",".@DJ44 addresses #StrataHadoop the last time as US Chief #DataScientist: \"We need you--a voice from the data commui… https://t.co/axTAKc1dHn","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495666333876224"],["2016-09-29 14:07:39.000","BobYelland","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495659224526848"],["2016-09-29 14:07:34.000","mloughlin","StrataHadoop","Last day for @CamSemantics at #StrataHadoop , come by to learn about the smart #datalake booth 564","Compound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  ","Compound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  ","null","781495639733637120"],["2016-09-29 14:07:26.000","georgidgeorgiev","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495604123934720"],["2016-09-29 14:07:26.000","REVyourdata","StrataHadoop","RT @Informatica: \"The US Chief Data Scientist must responsibly release the power of data to benefit ALL Americans\" - @dj44 at #StrataHadoop…","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","null","781495607290572800"],["2016-09-29 14:07:19.000","ideepakmathur","StrataHadoop","RT @IBMbigdata: Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data…","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","null","781495577385299969"],["2016-09-29 14:07:16.000","myarleq","StrataHadoop","RT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","null","781495564567543809"],["2016-09-29 14:07:16.000","kdnuggets","StrataHadoop","#StrataHadoop DJ Patil @dj44: you need to focus on the #individual - then you will always be right","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495564844367872"],["2016-09-29 14:07:12.000","tashay_g","StrataHadoop","A challenge we face today is how quickly we can get information from machines into the brains of humans.  #StrataHadoop","Compound 0.0772 Negative 0.0 Neutral 0.933 Positive 0.067  ","Compound 0.0772 Negative 0.0 Neutral 0.933 Positive 0.067  ","null","781495546095800320"],["2016-09-29 14:07:05.000","datarelish","StrataHadoop","\"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop via @DougCutting","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","null","781495516073000960"],["2016-09-29 14:07:05.000","danroesch","StrataHadoop","RT @cutting: \"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","null","781495517104799744"],["2016-09-29 14:07:04.000","AFontPerez","StrataHadoop","#StrataHadoop DJ Patil dj44: US government needs you, #DataScience &amp; #BigData experts","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495513623457792"],["2016-09-29 14:07:03.000","AFontPerez","StrataHadoop","#StrataHadoop DJ Patil dj44: every #DataScience training program must include #Ethics and #Security","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495510137970688"],["2016-09-29 14:07:02.000","AFontPerez","StrataHadoop","#StrataHadoop DJ Patil dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  ","Compound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  ","null","781495505297833984"],["2016-09-29 14:06:49.000","ginablaber","StrataHadoop","RT @mikeloukides: The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop","Compound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  ","Compound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  ","null","781495449245089792"],["2016-09-29 14:06:42.000","SorishaPragyan","StrataHadoop","\"The edge cases matter\" - @DJ44 #StrataHadoop  - a perfect quote to remember while performing case studies and identifying problem areas","Compound 0.0258 Negative 0.0 Neutral 0.82 Positive 0.18  ","Compound 0.0258 Negative 0.0 Neutral 0.82 Positive 0.18  ","null","781495421860544512"],["2016-09-29 14:06:37.000","EmilyHHo","StrataHadoop","@LynnOvermann of @WhiteHouse : 3 biggest mental health centers are jails.  #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495398745735168"],["2016-09-29 14:06:35.000","kdnuggets","StrataHadoop","#StrataHadoop DJ Patil @dj44: US government needs you, #DataScience &amp; #BigData experts","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495390139023365"],["2016-09-29 14:06:35.000","kathykmy","StrataHadoop",".@DJ44 addresses #StrataHadoop the last time as US Chief #DataScientist. We need you--a voice from the data commuin… https://t.co/uwNM9yKsbG","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495390822596608"],["2016-09-29 14:06:29.000","mikehking","StrataHadoop","@DJ44 takeaways from 2 yrs as @WhiteHouse Chief Data Scientist #StrataHadoop: #4 Focus on Individuals (Human, not S… https://t.co/aTlA9aSyCK","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495367561056258"],["2016-09-29 14:06:27.000","RobertsPaige","StrataHadoop","Call to action from @dj44. Focus on the individual. Contribute. #StrataHadoop https://t.co/6dTHJmdIEK","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495358274859008"],["2016-09-29 14:06:15.000","IBMbigdata","StrataHadoop","Next up at #StrataHadoop #IBM Analytics VP product dev Rob Thomas: keynote on \"How Successful Modern Businesses Think Data First\"","Compound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  ","Compound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  ","null","781495309645950976"],["2016-09-29 14:06:06.000","matthew_dailey1","StrataHadoop","\"Every data science training program must include Ethics and Security\" - @DJ44 at #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.833 Positive 0.167  ","Compound 0.34 Negative 0.0 Neutral 0.833 Positive 0.167  ","null","781495270299176960"],["2016-09-29 14:06:03.000","margaretpearce","StrataHadoop","4. Focus on the individual- #StrataHadoop https://t.co/jTYIJWFDAR","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495256617521152"],["2016-09-29 14:05:49.000","cutting","StrataHadoop","\"Every data science training program must include ethics &amp; security.\" @DJ44, U.S. Chief Data Scientist at #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  ","Compound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  ","null","781495197117079552"],["2016-09-29 14:05:36.000","EvanMarcusESG","StrataHadoop",".@dj44 1. Edge cases matter. 2. Data science training must include ethics &amp; security. 3. We need help from this community. #StrataHadoop","Compound 0.0258 Negative 0.0 Neutral 0.916 Positive 0.084  ","Compound 0.0258 Negative 0.0 Neutral 0.916 Positive 0.084  ","null","781495144986148864"],["2016-09-29 14:05:15.000","robdthomas","StrataHadoop","The End of Tech Companies https://t.co/T5Gbq5j6cf #StrataHadoop #strataconf","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781495056880525312"],["2016-09-29 14:04:42.000","UIandMe","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","null","781494917428187136"],["2016-09-29 14:04:42.000","DataAndUs","StrataHadoop","RT @kdnuggets: #StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","Compound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  ","null","781494917474377728"],["2016-09-29 14:04:41.000","ClouderaEvents","StrataHadoop","RT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781494913653477376"],["2016-09-29 14:04:37.000","kdnuggets","StrataHadoop","#StrataHadoop DJ Patil @dj44: every #DataScience training program must include #Ethics and #Security","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781494897090101248"],["2016-09-29 14:04:10.000","kdnuggets","StrataHadoop","#StrataHadoop DJ Patil @dj44: The edge cases matter (every edge case is a person) #BigData","Compound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  ","Compound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  ","null","781494783621627904"],["2016-09-29 14:04:02.000","tashay_g","StrataHadoop","Every Data Science training MUST include ethics, security is intrinsic within that. @DJ44 #StrataHadoop","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","null","781494748095864832"],["2016-09-29 14:03:59.000","cameronLcross","StrataHadoop","RT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781494738973143040"],["2016-09-29 14:03:48.000","mikeloukides","StrataHadoop","Every data science training program must include ethics &amp; security @dpatil #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781494693070798849"],["2016-09-29 14:03:36.000","danwoodsearly","StrataHadoop","Refreshing that @DJ44 DJ Patil focuses so much on results rather than technology in celebrating data science. Wisdom, dude! #StrataHadoop","Compound 0.8122 Negative 0.0 Neutral 0.709 Positive 0.291  ","Compound 0.8122 Negative 0.0 Neutral 0.709 Positive 0.291  ","null","781494641602551808"],["2016-09-29 14:03:21.000","mikeloukides","StrataHadoop","The edge cases matter. They are people. You determine whether they have a voice. @dpatil #StrataHadoop","Compound 0.0258 Negative 0.0 Neutral 0.927 Positive 0.073  ","Compound 0.0258 Negative 0.0 Neutral 0.927 Positive 0.073  ","null","781494579694604288"],["2016-09-29 14:03:11.000","Datagrrl","StrataHadoop","RT @schmiani: White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781494536107397120"],["2016-09-29 14:03:05.000","jenstirrup","StrataHadoop","RT @mikeloukides: A technology is neither radical nor revolutionary unless it benefits everyone. @dpatil #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  ","Compound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  ","null","781494510178045952"],["2016-09-29 14:02:55.000","mikeloukides","StrataHadoop","Precision Medicine Initiative: to make progress on cancer, etc., need to bring data together. Solvable problem @dpatil #StrataHadoop","Compound -0.6486 Negative 0.285 Neutral 0.602 Positive 0.112  ","Compound -0.6486 Negative 0.285 Neutral 0.602 Positive 0.112  ","null","781494468776226816"],["2016-09-29 14:02:52.000","ASeigneurin","StrataHadoop","Inspiring keynotes at #StrataHadoop today. All about improving healthcare, the jail system, access to information... Not just about data.","Compound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  ","Compound 0.6808 Negative 0.0 Neutral 0.752 Positive 0.248  ","null","781494458202386432"],["2016-09-29 14:02:23.000","SuriyaaKudoIsc","StrataHadoop","RT @Oracle: Want a VIP ride in an Oracle Tesla and a free USB charger? Show your #StrataHadoop badge. You can find us outside of Javits #Or…","Compound 0.8399 Negative 0.0 Neutral 0.71 Positive 0.29  ","Compound 0.8399 Negative 0.0 Neutral 0.71 Positive 0.29  ","null","781494333996425216"],["2016-09-29 14:02:18.000","reshamas","StrataHadoop","White House Data-Driven Justice Initiative: we need DATABASES | make data work for us! @DJ44 #StrataHadoop https://t.co/PcDyFVdv5A","Compound 0.5707 Negative 0.0 Neutral 0.802 Positive 0.198  ","Compound 0.5707 Negative 0.0 Neutral 0.802 Positive 0.198  ","null","781494313339478016"],["2016-09-29 14:02:09.000","BertLatamore","StrataHadoop","RT @armand_ruiz: This is how people learn about IBM Data Science Experience in #StrataHadoop https://t.co/ihIhnwiNBv","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781494274575564804"],["2016-09-29 14:01:55.000","PaaSDev","StrataHadoop","Hortonworks Supports the Precision Medicine Initiative - Hortonworks https://t.co/PpU4UD8ctj #StrataHadoop","Compound 0.3612 Negative 0.0 Neutral 0.762 Positive 0.238  ","Compound 0.3612 Negative 0.0 Neutral 0.762 Positive 0.238  ","null","781494219265409024"],["2016-09-29 14:01:52.000","wcbdata","StrataHadoop","Using big (and small) data to solve public policy problems @WhiteHouse ... @LynnOvermann at #StrataHadoop https://t.co/CpMSnDjCMn","Compound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  ","Compound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  ","null","781494204958662660"],["2016-09-29 14:01:48.000","SethGrimes","StrataHadoop","Aspirational idealism, completely untrue, from @DJ44 #StrataHadoop https://t.co/VmqTJ4yfSy","Compound 0.4019 Negative 0.0 Neutral 0.722 Positive 0.278  ","Compound 0.4019 Negative 0.0 Neutral 0.722 Positive 0.278  ","null","781494189930455040"],["2016-09-29 14:01:28.000","INFA_BD","StrataHadoop","At #StrataHadoop? Come talk to @Informatica in booth #445 about powering your business with Data Lakes https://t.co/5obNYh9DfF","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781494104358354944"],["2016-09-29 14:01:15.000","zeroshade","StrataHadoop","RT @schmiani: White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781494051220643840"],["2016-09-29 14:01:05.000","TennysonTippy","StrataHadoop","\"Come help us. We can solve these problems together\" Disrupting The Cycle of Incarceration with Data  https://t.co/DVJyXvE77o #StrataHadoop","Compound 0.2023 Negative 0.122 Neutral 0.676 Positive 0.203  ","Compound 0.2023 Negative 0.122 Neutral 0.676 Positive 0.203  ","null","781494005917970432"],["2016-09-29 14:00:47.000","Yakima_TUG","StrataHadoop","RT @herdingbats: Use data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPK…","Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  ","Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  ","null","781493932043542531"],["2016-09-29 14:00:42.000","schmiani","StrataHadoop","White House Data-Driven Initiative! #StrataHadoop https://t.co/AhqG5BLEpx","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781493911562903556"],["2016-09-29 14:00:42.000","shrutikawani","StrataHadoop","RT MongoDB: At #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Ch… https://t.co/T2Cu79kMYO","Compound 0.7319 Negative 0.0 Neutral 0.755 Positive 0.245  ","Compound 0.7319 Negative 0.0 Neutral 0.755 Positive 0.245  ","null","781493910971490332"],["2016-09-29 14:00:30.000","IntelITCenter","StrataHadoop",".@_NidhiC shares how Nervana and Intel will drive the future of AI: https://t.co/7HsHO10TFA #StrataHadoop","Compound 0.296 Negative 0.0 Neutral 0.855 Positive 0.145  ","Compound 0.296 Negative 0.0 Neutral 0.855 Positive 0.145  ","null","781493862116327424"],["2016-09-29 14:00:30.000","IntelITCenter","StrataHadoop","Faster machine learning data models using Intel Performance Libraries. Get started here: https://t.co/qqDIM9jYYl #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781493862212767744"],["2016-09-29 14:00:23.000","IntelITCenter","StrataHadoop","Harness the power of technology &amp; data science skills in Apache and detect unknown threats. https://t.co/s0x0FYe81h #StrataHadoop #Intel","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781493829333618689"],["2016-09-29 14:00:20.000","INFA_BD","StrataHadoop","LIVE from #StrataHadoop: @dj44 gives a view of \"Data Science from the White House\" #GovIT https://t.co/rBlOMnClRT","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781493819636318208"],["2016-09-29 14:00:13.000","hamzashaikh1","StrataHadoop","At #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Chicago!… https://t.co/JYsb8WVWIR","Compound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  ","Compound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  ","null","781493790796292096"],["2016-09-29 14:00:03.000","MongoDB","StrataHadoop","At #StrataHadoop? Meet 1:1 with the #MongoDB team for a chance to win a ticket to the Broadway show Chicago!… https://t.co/0BDwKzHPL5","Compound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  ","Compound 0.7545 Negative 0.0 Neutral 0.725 Positive 0.275  ","null","781493748391940096"],["2016-09-29 13:59:49.000","mikeloukides","StrataHadoop","This isn’t big data; it’s mostly passing around spreadsheets. But it’s incredibly important. @dpatil #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781493690548314112"],["2016-09-29 13:59:48.000","mwakanosya","StrataHadoop","RT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781493682469998592"],["2016-09-29 13:59:04.000","carolinabigonha","StrataHadoop","\"a technology is neither radical nor revolutionary unless it benefits everyone \" @DJ44 at @strataconf #StrataHadoop… https://t.co/eSDsTU83bD","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781493499363520512"],["2016-09-29 13:58:54.000","shakamunyi","StrataHadoop","RT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781493457474973697"],["2016-09-29 13:58:47.000","renato_umeton","StrataHadoop","RT @kdnuggets: #StrataHadoop Keynote DJ Patil @dj44: technology is not radical or revolutionary unless it benefits everyone","Compound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  ","Compound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  ","null","781493427888328704"],["2016-09-29 13:58:39.000","RobertsPaige","StrataHadoop","White House data driven justice initiative. Vastly improved response to mental health calls. #StrataHadoop https://t.co/nDrsPegQ9c","Compound 0.7579 Negative 0.0 Neutral 0.667 Positive 0.333  ","Compound 0.7579 Negative 0.0 Neutral 0.667 Positive 0.333  ","null","781493394484985857"],["2016-09-29 13:58:28.000","zeroshade","StrataHadoop","RT @herdingbats: Use data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPK…","Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  ","Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  ","null","781493348469186560"],["2016-09-29 13:58:19.000","mikeloukides","StrataHadoop","Data driven justice initiative: use data to identify people in need, and linking them to services rather than prison. #StrataHadoop","Compound 0.0258 Negative 0.134 Neutral 0.729 Positive 0.138  ","Compound 0.0258 Negative 0.134 Neutral 0.729 Positive 0.138  ","null","781493312696020992"],["2016-09-29 13:58:08.000","JohnEhrlinger","StrataHadoop","Boat party at #StrataHadoop last night. https://t.co/dkbtqCbJWD","Compound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  ","Compound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  ","null","781493265292034048"],["2016-09-29 13:57:52.000","herdingbats","StrataHadoop","Use data to change police response from arrest to treat. This. Is. Vital. @LynnOvermann at #StrataHadoop https://t.co/UXPKewWX1S","Compound 0.3612 Negative 0.113 Neutral 0.657 Positive 0.23  ","Compound 0.3612 Negative 0.113 Neutral 0.657 Positive 0.23  ","null","781493196060762112"],["2016-09-29 13:57:51.000","ginablaber","StrataHadoop","A technology is neither radical nor revolutionary unless it benefits everyone. US Chief Data Scientist DJ Patil @DJ44 #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.867 Positive 0.133  ","Compound 0.3818 Negative 0.0 Neutral 0.867 Positive 0.133  ","null","781493192520765441"],["2016-09-29 13:57:43.000","imHealthy_2015","StrataHadoop","RT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781493161306697728"],["2016-09-29 13:57:19.000","EvanMarcusESG","StrataHadoop","RT @mijopo: Tech behind biggest journalism leak in history. #StrataHadoop https://t.co/Rea1gXuTA8","Compound -0.34 Negative 0.194 Neutral 0.806 Positive 0.0  ","Compound -0.34 Negative 0.194 Neutral 0.806 Positive 0.0  ","null","781493059787841536"],["2016-09-29 13:56:36.000","apachetinkerpop","StrataHadoop","RT @AndySchaul: A beautiful portrayal of big data, graphs &amp; 🌽🌽🌽 genetics from @TimWilliate &amp; @emileifrem at #StrataHadoop: https://t.co/dIv…","Compound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  ","Compound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  ","null","781492877662846976"],["2016-09-29 13:56:22.000","tashay_g","StrataHadoop","The three largest mental facilities in our country are LA County jail, Cook County jail, and Rikers Island. Not hospitals. #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492820200816640"],["2016-09-29 13:56:14.000","imHealthy_2015","StrataHadoop","RT @reshamas: A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781492788412067840"],["2016-09-29 13:56:14.000","carissa_shafto","StrataHadoop","\"A technology is neither radical nor revolutionary unless it benefits everyone\" @DJ44 #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","null","781492787271327745"],["2016-09-29 13:56:02.000","wimlds","StrataHadoop","LA County, Cook County &amp; Rikers Island are the 3 largest mental health institutions in US #StrataHadoop https://t.co/qDz1WRDFJO","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492736562171904"],["2016-09-29 13:55:53.000","RobertsPaige","StrataHadoop","Real world Winter Soldier arm mapped to nerves. Dexterous and stronger than the original. @dj44  #StrataHadoop https://t.co/UHOtkcIOZF","Compound 0.5423 Negative 0.069 Neutral 0.69 Positive 0.241  ","Compound 0.5423 Negative 0.069 Neutral 0.69 Positive 0.241  ","null","781492698448596992"],["2016-09-29 13:55:43.000","amcasari","StrataHadoop","RT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492655595282432"],["2016-09-29 13:55:41.000","AFontPerez","StrataHadoop","#StrataHadoop Keynote DJ Patil dj44: technology is not radical or revolutionary unless it benefits everyone","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781492647160606720"],["2016-09-29 13:55:38.000","pythianpartners","StrataHadoop","@GCPBigData BigQuery PM Chad Jennings announcing new enterprise features #StrataHadoop https://t.co/aGAz5gFvf9","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492637291405312"],["2016-09-29 13:55:35.000","danwoodsearly","StrataHadoop","@kimknilsson, CEO of Pivigo, showed me how bite-sized projects accelerate data science adoption. https://t.co/MIeHVwINsg #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492623387291648"],["2016-09-29 13:55:33.000","TennysonTippy","StrataHadoop","\"A technology is neither radical nor revolutionary unless it benefits everyone\" DJ Patil #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","null","781492614113660928"],["2016-09-29 13:55:30.000","kathykmy","StrataHadoop",".@dj44: \"A technology is neither radical nor revolutionary unless it benefits everyone.\" #StrataHadoop https://t.co/1C404CC7yk","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","null","781492603980247040"],["2016-09-29 13:55:14.000","SageLegion","StrataHadoop","RT @SVDataScience: At #StrataHadoop NY? Come by 3D 12 at 9am to hear @BigDataAnalysis, @steveos, and @mjvacas talk about data platforms htt…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492534761533440"],["2016-09-29 13:55:10.000","zeroshade","StrataHadoop","Amen to @DJ44 #StrataHadoop https://t.co/AQRAcKI927","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492516994572288"],["2016-09-29 13:55:09.000","KhanolkarAA","StrataHadoop","RT @mikeloukides: A technology is neither radical nor revolutionary unless it benefits everyone. @dpatil #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  ","Compound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  ","null","781492514008211456"],["2016-09-29 13:55:08.000","ba_datascience","StrataHadoop","strataconf: RT vboykis: US chief data scientist, DJ44. Fourth  talk at #StrataHadoop about handling data responsib… https://t.co/LTBaicX7xQ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492509868523520"],["2016-09-29 13:55:00.000","Emad_Alsa","StrataHadoop","Data support of medical advancements in prosthetic #StrataHadoop https://t.co/8shh6KxWRI","Compound 0.4019 Negative 0.0 Neutral 0.748 Positive 0.252  ","Compound 0.4019 Negative 0.0 Neutral 0.748 Positive 0.252  ","null","781492475168972800"],["2016-09-29 13:54:49.000","andyhpalmer","StrataHadoop","RT @Tamr_Inc: .@ihabilyas Tackling Machine-Learning Complexity for Data Curation today #StrataHadoop https://t.co/9N90GE218P https://t.co/j…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492428792627200"],["2016-09-29 13:54:41.000","tashay_g","StrataHadoop","@LynnOvermann talking about how data is used to reform the criminal justice system #StrataHadoop","Compound 0.0 Negative 0.181 Neutral 0.638 Positive 0.181  ","Compound 0.0 Negative 0.181 Neutral 0.638 Positive 0.181  ","null","781492398287388672"],["2016-09-29 13:54:12.000","reshamas","StrataHadoop","A technology is neither radical nor revolutionary unless it benefits everyone. @DJ44 #StrataHadoop https://t.co/ZMR8BYKHu3","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","null","781492274316316672"],["2016-09-29 13:54:10.000","SuzAxtell","StrataHadoop","Another important keynote at #StrataHadoop from @DJ44 spanning opioid epidemic, transportation, coding education. D… https://t.co/7kTl8ovPJm","Compound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  ","Compound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  ","null","781492268591149056"],["2016-09-29 13:54:08.000","SageLegion","StrataHadoop","RT @strataconf: Day 2 of #StrataHadoop keynotes are starting now - @cutting @acroll &amp; @rogerm on stage. Watch live at https://t.co/Gq1dcmqk…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492257488642048"],["2016-09-29 13:54:08.000","zeroshade","StrataHadoop","Holy hell this was amazing!! #StrataHadoop https://t.co/nmUPEQ47CP","Compound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  ","Compound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  ","null","781492259766300672"],["2016-09-29 13:54:07.000","TennysonTippy","StrataHadoop","DJ Patil from the White House Office of Technology &amp; the intersection of data and civil rights https://t.co/G0JFDhcg9P #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781492256171757568"],["2016-09-29 13:53:57.000","EvanMarcusESG","StrataHadoop","A technology is neither radical not revolutionary unless it benefits EVERYONE! -- DJ Patil #StrataHadoop","Compound 0.4389 Negative 0.0 Neutral 0.818 Positive 0.182  ","Compound 0.4389 Negative 0.0 Neutral 0.818 Positive 0.182  ","null","781492211288506369"],["2016-09-29 13:53:57.000","roxtayor","StrataHadoop","RT @CDOSummit: Great keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the https://t…","Compound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  ","Compound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  ","null","781492211779309568"],["2016-09-29 13:53:56.000","kdnuggets","StrataHadoop","#StrataHadoop Keynote DJ Patil @dj44: technology is not radical or revolutionary unless it benefits everyone","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781492208394465282"],["2016-09-29 13:53:51.000","margaretpearce","StrataHadoop","\"A technology is neither radical nor revolutionary unless it benefits everyone\" #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.794 Positive 0.206  ","Compound 0.3818 Negative 0.0 Neutral 0.794 Positive 0.206  ","null","781492187666190337"],["2016-09-29 13:53:41.000","rikturr","StrataHadoop","\"A technology is neither radical nor revolutionary unless it benefits everyone.\" @dpatil at #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.776 Positive 0.224  ","Compound 0.3818 Negative 0.0 Neutral 0.776 Positive 0.224  ","null","781492147094745088"],["2016-09-29 13:53:41.000","tashay_g","StrataHadoop","A technology is neither radical nor revolutionary unless it benefits EVERYONE. @DJ44 #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","null","781492145039482880"],["2016-09-29 13:53:37.000","urblg","StrataHadoop","RT @kdnuggets: #StrataHadoop Keynote @ICIJorg Investigative Journalists amazing work brought #PanamaPapers #BigData support them at https:/…","Compound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  ","Compound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  ","null","781492127129677825"],["2016-09-29 13:53:15.000","mikeloukides","StrataHadoop","A technology is neither radical nor revolutionary unless it benefits everyone. @dpatil #StrataHadoop","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","null","781492034767126529"],["2016-09-29 13:52:56.000","pythianpartners","StrataHadoop","RT @strataconf: Chad W. Jennings keynote, @Google BigQueryproduct for enterprise at #StrataHadoop is now live https://t.co/Gq1dcmqkbX https…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781491957885460480"],["2016-09-29 13:52:21.000","wimlds","StrataHadoop","RT @SethGrimes: .@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp; #DataSci…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781491811537805312"],["2016-09-29 13:52:06.000","CDOSummit","StrataHadoop","Great keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the… https://t.co/S3h2wEmIIK","Compound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  ","Compound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  ","null","781491745867571200"],["2016-09-29 13:52:01.000","VeracityMedia","StrataHadoop","The Data-Driven Justice Initiative led by @DJ44 is using data science for criminal justice reform: https://t.co/sfrWpOPVxm #StrataHadoop","Compound 0.5267 Negative 0.14 Neutral 0.579 Positive 0.281  ","Compound 0.5267 Negative 0.14 Neutral 0.579 Positive 0.281  ","null","781491724497530884"],["2016-09-29 13:51:59.000","AndySchaul","StrataHadoop","A beautiful portrayal of big data, graphs &amp; 🌽🌽🌽 genetics from @TimWilliate &amp; @emileifrem at #StrataHadoop: https://t.co/dIvDMRb5Xz #neo4j","Compound 0.5994 Negative 0.0 Neutral 0.606 Positive 0.394  ","Compound 0.5994 Negative 0.0 Neutral 0.606 Positive 0.394  ","null","781491715521654784"],["2016-09-29 13:51:08.000","CRSSULL","StrataHadoop","RT @HDPartnerworks: #StrataHadoop NYC is here! Meet @DellEMC @Pivotal and @IBM at our booth #409 today: https://t.co/whTi7NK3qR  #futureofd…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781491502421794818"],["2016-09-29 13:51:07.000","andrewbt","StrataHadoop","At #StrataHadoop, @dj44 asks why 100 people will die on roads today. His suggestion: distracted driving. Mine: poor transpo design &amp; policy","Compound -0.8555 Negative 0.343 Neutral 0.657 Positive 0.0  ","Compound -0.8555 Negative 0.343 Neutral 0.657 Positive 0.0  ","null","781491498944724992"],["2016-09-29 13:51:02.000","srsabu","StrataHadoop","Need an Nvidia Titan X and deep learning to optimize my show floor swag collection path. @NvidiaAI #StrataHadoop","Compound 0.4939 Negative 0.0 Neutral 0.833 Positive 0.167  ","Compound 0.4939 Negative 0.0 Neutral 0.833 Positive 0.167  ","null","781491480061997056"],["2016-09-29 13:50:08.000","tashay_g","StrataHadoop","The Opportunity Project will release 40 new projects next Thursday. Showing how corporations are using federal data. #StrataHadoop","Compound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  ","Compound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  ","null","781491250558009345"],["2016-09-29 13:50:08.000","mikeloukides","StrataHadoop","How do you use data to empower people who don’t have access to technology? Opportunity project, teaching kids to code @dpatil #StrataHadoop","Compound 0.4871 Negative 0.0 Neutral 0.869 Positive 0.131  ","Compound 0.4871 Negative 0.0 Neutral 0.869 Positive 0.131  ","null","781491251799592960"],["2016-09-29 13:49:58.000","vboykis","StrataHadoop","US chief data scientist, @DJ44. Fourth  talk at #StrataHadoop about handling data responsibly and collaboratively.  Like this trend.","Compound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  ","Compound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  ","null","781491209734881281"],["2016-09-29 13:49:57.000","BeTheMedia","StrataHadoop","Great keynote by White House Chief Data Officer @DJ44 @LynnOvermann  @strataconf #StrataHadoop. Come to DC for the… https://t.co/Bd0ZBN99pN","Compound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  ","Compound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  ","null","781491205238624260"],["2016-09-29 13:49:40.000","peerside","StrataHadoop","RT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781491135948750848"],["2016-09-29 13:49:35.000","SageLegion","StrataHadoop","RT @splicemachine: Good morning #StrataHadoop! Stop by booth 410 today to learn about Lambda in a Box, and stick around for something extra…","Compound 0.2481 Negative 0.087 Neutral 0.788 Positive 0.126  ","Compound 0.2481 Negative 0.087 Neutral 0.788 Positive 0.126  ","null","781491111797719041"],["2016-09-29 13:49:05.000","TekunoTech","StrataHadoop","RT @INFA_BD: LIVE at #StrataHadoop: @Cisco Director @tobranno talks about blocking 23 million #cyberattacks at the connected Rio #Olympics.…","Compound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  ","Compound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  ","null","781490988682444801"],["2016-09-29 13:48:21.000","LawrenceHecht","StrataHadoop","RT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781490802103087104"],["2016-09-29 13:48:17.000","reshamas","StrataHadoop","The number of Americans that died on US roads | @DJ44 #StrataHadoop https://t.co/dbzBFZ3Du7","Compound -0.5106 Negative 0.242 Neutral 0.671 Positive 0.087  ","Compound -0.5106 Negative 0.242 Neutral 0.671 Positive 0.087  ","null","781490785258708996"],["2016-09-29 13:47:17.000","topiclysmm","StrataHadoop","RT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","null","781490535357906944"],["2016-09-29 13:47:03.000","dmenningervr","StrataHadoop",".@dj44 mission of US Chief Data Scientist: responsibly use data to benefit all Americans #StrataHadoop","Compound 0.4588 Negative 0.0 Neutral 0.824 Positive 0.176  ","Compound 0.4588 Negative 0.0 Neutral 0.824 Positive 0.176  ","null","781490476948025344"],["2016-09-29 13:46:57.000","DebraYamashita","StrataHadoop","RT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","null","781490450159075328"],["2016-09-29 13:46:49.000","shakamunyi","StrataHadoop","RT @dmenningervr: Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSG…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781490419028852737"],["2016-09-29 13:46:47.000","ba_datascience","StrataHadoop","strataconf: RT zeroshade: When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", OReillyMed… https://t.co/ehK2FOmf7U","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781490407444254720"],["2016-09-29 13:46:39.000","DHenschen","StrataHadoop","RT @tashay_g: Next up DJ Patil @DJ44, talking about the use of data for initiatives at The White House #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781490374397333504"],["2016-09-29 13:46:36.000","danielleodean","StrataHadoop","See you this afternoon at one of my sessions! #StrataHadoop #CortanaIntelligence https://t.co/SB2kU3FeKB","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781490363160731648"],["2016-09-29 13:46:34.000","bgeerdink","StrataHadoop","@DJ44 is the chief data scientist of the @WhiteHouse, that sounds like a cool job! #StrataHadoop","Compound 0.6239 Negative 0.0 Neutral 0.719 Positive 0.281  ","Compound 0.6239 Negative 0.0 Neutral 0.719 Positive 0.281  ","null","781490354210140166"],["2016-09-29 13:46:34.000","SethGrimes","StrataHadoop",".@OReillyMedia, matching a portion of #StrataHadoop fees, raised over $15 thousand for Women in #MachineLearning &amp;… https://t.co/ak258uJHCB","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781490354424086528"],["2016-09-29 13:46:33.000","reshamas","StrataHadoop","@DJ44 US Chief Data Scientist keynoting at #StrataHadoop https://t.co/o8Vy9WB9WN","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781490348740796416"],["2016-09-29 13:46:32.000","tashay_g","StrataHadoop","President Obama created U.S. Chief Data Scientist position roughly 2yrs ago #StrataHadoop","Compound 0.25 Negative 0.0 Neutral 0.846 Positive 0.154  ","Compound 0.25 Negative 0.0 Neutral 0.846 Positive 0.154  ","null","781490345574096896"],["2016-09-29 13:46:21.000","mikeloukides","StrataHadoop","Mission to responsibly unleash the power of data to benefit all Americans. Important words “Responsibly” &amp; “all” @dpatil #StrataHadoop","Compound 0.6322 Negative 0.0 Neutral 0.731 Positive 0.269  ","Compound 0.6322 Negative 0.0 Neutral 0.731 Positive 0.269  ","null","781490301265469440"],["2016-09-29 13:46:16.000","margaretpearce","StrataHadoop","RT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781490280163840000"],["2016-09-29 13:45:52.000","EvanMarcusESG","StrataHadoop","Just saw @Googlecloud Big Query search 1.9 petabytes of data in 3.5 minutes. Wow! #StrataHadoop","Compound 0.6239 Negative 0.0 Neutral 0.774 Positive 0.226  ","Compound 0.6239 Negative 0.0 Neutral 0.774 Positive 0.226  ","null","781490177210478592"],["2016-09-29 13:45:36.000","SorishaPragyan","StrataHadoop","RT @nrouda: Wow, 1.09 PB scanned in roughly 3.5 minutes by @googlecloud BigQuery cloud data warehouse. #StrataHadoop","Compound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  ","Compound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  ","null","781490110122565632"],["2016-09-29 13:45:30.000","tashay_g","StrataHadoop","Next up DJ Patil @DJ44, talking about the use of data for initiatives at The White House #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781490086336729088"],["2016-09-29 13:45:07.000","randersonperez","StrataHadoop","RT @INFA_BD: LIVE at #StrataHadoop: @cabralens talks about how #cloud and #bigdata impacted the #PanamaPapers leak. #journalism #cybersecur…","Compound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  ","Compound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  ","null","781489989469085696"],["2016-09-29 13:44:35.000","carissa_shafto","StrataHadoop","RT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781489855960379393"],["2016-09-29 13:44:26.000","BimalTandel","StrataHadoop","RT @ClouderaEvents: 20% of @Cloudera customer workloads are now in the cloud - Tom Reilly #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781489817074925568"],["2016-09-29 13:44:19.000","mikehking","StrataHadoop","Amazing how services like @googlecloud computer vision API and @DataRobot are abstracting ML, to make it super-accessible #StrataHadoop","Compound 0.8074 Negative 0.0 Neutral 0.644 Positive 0.356  ","Compound 0.8074 Negative 0.0 Neutral 0.644 Positive 0.356  ","null","781489787375067136"],["2016-09-29 13:44:17.000","DHenschen","StrataHadoop","RT @nrouda: Wow, 1.09 PB scanned in roughly 3.5 minutes by @googlecloud BigQuery cloud data warehouse. #StrataHadoop","Compound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  ","Compound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  ","null","781489778248314880"],["2016-09-29 13:43:59.000","nrouda","StrataHadoop","Wow, 1.09 PB scanned in roughly 3.5 minutes by @googlecloud BigQuery cloud data warehouse. #StrataHadoop","Compound 0.5859 Negative 0.0 Neutral 0.787 Positive 0.213  ","Compound 0.5859 Negative 0.0 Neutral 0.787 Positive 0.213  ","null","781489705242198016"],["2016-09-29 13:43:25.000","monica1mullen","StrataHadoop","RT @strataconf: Attending #StrataHadoop NYC? Prepare with free Marketing Data Lake Book by @FranzAman https://t.co/QWEK0HkSIP #bigdata http…","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","null","781489562916761600"],["2016-09-29 13:43:24.000","INFA_BD","StrataHadoop","LIVE at #StrataHadoop: @Cisco Director @tobranno talks about blocking 23 million #cyberattacks at the connected Rio… https://t.co/GsuL5jqUvr","Compound -0.3818 Negative 0.14 Neutral 0.86 Positive 0.0  ","Compound -0.3818 Negative 0.14 Neutral 0.86 Positive 0.0  ","null","781489558756155392"],["2016-09-29 13:43:10.000","carissa_shafto","StrataHadoop","RT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781489498676948992"],["2016-09-29 13:42:59.000","dmenningervr","StrataHadoop","Chad Jennings of @googlecloud announcing BigQuery for Enterprise &amp; large partner ecosystem #StrataHadoop https://t.co/jSGzTNpOAW","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781489451004485632"],["2016-09-29 13:42:31.000","BimalTandel","StrataHadoop","RT @Oracle: Tired of waiting in lines for a taxi? The wait is over! Ride in style in an Oracle Tesla. Free for #StrataHadoop attendees! #Or…","Compound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  ","Compound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  ","null","781489333643665408"],["2016-09-29 13:42:24.000","juliancheng","StrataHadoop","RT @CrowdFlower: Join @rimmanehme and @l2k today @ 11:20 a.m. in room 1E 09 at #StrataHadoop on \"What Will #MachineLearning Be Like in 2013…","Compound 0.5719 Negative 0.0 Neutral 0.817 Positive 0.183  ","Compound 0.5719 Negative 0.0 Neutral 0.817 Positive 0.183  ","null","781489305617309696"],["2016-09-29 13:42:18.000","reshamas","StrataHadoop","RT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781489280577376256"],["2016-09-29 13:41:49.000","wimlds","StrataHadoop","RT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781489159080931328"],["2016-09-29 13:41:45.000","teropaananen","StrataHadoop","2 by bad actors I mean criminals as well as corporations abusing your private data for greed #StrataHadoop","Compound -0.8957 Negative 0.496 Neutral 0.423 Positive 0.081  ","Compound -0.8957 Negative 0.496 Neutral 0.423 Positive 0.081  ","null","781489142505103360"],["2016-09-29 13:41:21.000","BimalTandel","StrataHadoop","RT @zeroshade: When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", @OReillyMedia matched all the donations and ra…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781489040520515584"],["2016-09-29 13:41:09.000","BimalTandel","StrataHadoop","RT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488990700630016"],["2016-09-29 13:41:03.000","herdingbats","StrataHadoop","RT @SuzAxtell: .@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintec…","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","null","781488966105178112"],["2016-09-29 13:40:55.000","SorishaPragyan","StrataHadoop","RT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488931946827776"],["2016-09-29 13:40:52.000","VishalStudio","StrataHadoop","RT @margaretpearce: Machine learning on human vision/ LASIK. L1 ~ 0.07, age is an important feature. Fascinating! #StrataHadoop #Microsoft…","Compound 0.68 Negative 0.0 Neutral 0.741 Positive 0.259  ","Compound 0.68 Negative 0.0 Neutral 0.741 Positive 0.259  ","null","781488918109818880"],["2016-09-29 13:40:49.000","ba_datascience","StrataHadoop","strataconf: Chad W. Jennings keynote, Google BigQueryproduct for enterprise at #StrataHadoop is now live… … https://t.co/G93yva3Rgr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488907561164800"],["2016-09-29 13:40:39.000","SorishaPragyan","StrataHadoop","RT @Libertyhere: \"Just like Big Data gave the Cloud something to do, Machine Learning has given Big Data something to do\". #StrataHadoop","Compound 0.3612 Negative 0.0 Neutral 0.894 Positive 0.106  ","Compound 0.3612 Negative 0.0 Neutral 0.894 Positive 0.106  ","null","781488863369977856"],["2016-09-29 13:40:24.000","sahil29nov","StrataHadoop","RT @INFA_BD: Collaboratively find, prepare, and govern data for analysis https://t.co/0DpJo2mIm2 #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488801734660097"],["2016-09-29 13:40:17.000","SuzAxtell","StrataHadoop",".@acroll announces over $15,000 raised for @wimlds from #StrataHadoop attendees, @OReillyMedia + @cloudera. Woot #womenintech!","Compound 0.4753 Negative 0.0 Neutral 0.808 Positive 0.192  ","Compound 0.4753 Negative 0.0 Neutral 0.808 Positive 0.192  ","null","781488773762781184"],["2016-09-29 13:40:12.000","tashay_g","StrataHadoop","Learning about Google BigQuery from Chad Jennings #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488750392176640"],["2016-09-29 13:40:04.000","herdingbats","StrataHadoop","RT @tashay_g: $15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488716644769792"],["2016-09-29 13:40:03.000","singhjaspreet","StrataHadoop","Reasons to put your data ware house in Big Query #StrataHadoop https://t.co/up61ev6yHi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488714811858948"],["2016-09-29 13:40:01.000","Libertyhere","StrataHadoop","\"Just like Big Data gave the Cloud something to do, Machine Learning has given Big Data something to do\". #StrataHadoop","Compound 0.3612 Negative 0.0 Neutral 0.884 Positive 0.116  ","Compound 0.3612 Negative 0.0 Neutral 0.884 Positive 0.116  ","null","781488705701711872"],["2016-09-29 13:40:00.000","Datagrrl","StrataHadoop","RT @nrouda: Rio Olympics powered by @cisco big data, @tobranno showing all the connections as a juicy attack target. #StrataHadoop #stratac…","Compound -0.4767 Negative 0.14 Neutral 0.86 Positive 0.0  ","Compound -0.4767 Negative 0.14 Neutral 0.86 Positive 0.0  ","null","781488701906051072"],["2016-09-29 13:39:56.000","doctordindsay","StrataHadoop","Party on the USS Intrepid. #StrataHadoop https://t.co/elTPwA2vUy","Compound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  ","Compound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  ","null","781488683539132417"],["2016-09-29 13:39:43.000","tareqgemee","StrataHadoop","Protecting Big Data is essential, not optional. Learn why #StrataHadoop https://t.co/wSZ11iMPTz #IWork4Dell","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488631345213441"],["2016-09-29 13:39:26.000","biconnections","StrataHadoop","RT @kdnuggets: #StrataHadoop Keynote @ICIJorg Investigative Journalists amazing work brought #PanamaPapers #BigData support them at https:/…","Compound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  ","Compound 0.7579 Negative 0.0 Neutral 0.683 Positive 0.317  ","null","781488559610073089"],["2016-09-29 13:38:43.000","tashay_g","StrataHadoop","$15,000 raised by @OReillyMedia and conference goers for Women in Machine Learning #StrataHadoop","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488378625810432"],["2016-09-29 13:38:34.000","Mackenzie_MacD","StrataHadoop","RT @strataconf: Day 2 of #StrataHadoop keynotes are starting now - @cutting @acroll &amp; @rogerm on stage. Watch live at https://t.co/Gq1dcmqk…","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488338993868800"],["2016-09-29 13:38:33.000","zeroshade","StrataHadoop","When I got my tickets for #StrataHadoop I donated to \"Women in Data Science\", @OReillyMedia matched all the donations and raised over $15k!","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","null","781488336238182400"],["2016-09-29 13:38:31.000","chouguled","StrataHadoop","RT @Scott_Gnau: Come see us at #StrataHadoop and learn how @hortonworks can drive value for you #futureofdata","Compound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  ","Compound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  ","null","781488330160545792"],["2016-09-29 13:38:25.000","EvanMarcusESG","StrataHadoop","Never seen this approach to keynotes before. A series of 5-10 minute talks rather than 60-90 minute talks. Love it. #StrataHadoop","Compound 0.6369 Negative 0.0 Neutral 0.819 Positive 0.181  ","Compound 0.6369 Negative 0.0 Neutral 0.819 Positive 0.181  ","null","781488301429682176"]]},"dateCreated":"2016-09-29T14:14:14+0000","dateStarted":"2016-09-30T21:34:30+0000","dateFinished":"2016-09-30T21:34:30+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:301"},{"text":"%phoenix\n\nselect time, handle,  sentiment, length(msg) as wordcount, msg  from tweets order by time desc","dateUpdated":"2016-09-30T17:50:16+0000","config":{"colWidth":12,"editorMode":"ace/mode/scala","graph":{"mode":"table","height":300,"optionOpen":true,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475156839047_1381919210","id":"20160927-021622_72108563","result":{"code":"SUCCESS","type":"TABLE","msg":"TIME\tHANDLE\tSENTIMENT\tWORDCOUNT\tMSG\nThu Sep 29 23:59:54 +0000 2016\tJuanLuisMolinaB\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t150\tRT+%40INFA_BD%3A+Learn+to+turn+%23BigData+Into+Big+Value+With+Data+Lakes+https%3A%2F%2Ft.co%2F5obNYh9DfF+%40strataconf+https%3A%2F%2Ft.co%2F1OKhrNu58u\nThu Sep 29 23:59:43 +0000 2016\tjayesh_mori\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40omgitsbbox%3A+%40jayesh_mori+presents+OPTIMUS%3A+%40tresata%27s+Next-Generation+Analytics++Operating+System+%40+CHUG+%23hadoop+%23clt+https%3A%2F%2Ft.co%2Fvjr6%E2%80%A6\nThu Sep 29 23:59:40 +0000 2016\tnuix\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t194\tRT+%40VeracityMedia%3A+Overview+of+how+%40SZ+%26amp%3B+%40ICIJorg+analyzed+Panama+Papers%E2%80%94the+largest+data+leak+ever%E2%80%94w%2F+%40nuix+software%3A+https%3A%2F%2Ft.co%2FxUt0n49%E2%80%A6\nThu Sep 29 23:59:20 +0000 2016\tJackVaughanatTT\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t164\tRT+%40craigstedman%3A+For+real-time+%23analytics%2C+can%27t+just+throw+data+into+%23Hadoop+data+lake+for+users+to+have+at.+%40darrylbsmith+of+%40DellEMC+at%E2%80%A6\nThu Sep 29 23:58:59 +0000 2016\tJackVaughanatTT\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t161\tRT+%40craigstedman%3A+%23BigData+%23analytics+users+at+%40ProcterGamble+not+all+going+to+write+own+Scala+code.+Need+to+%22prepare+the+data+buffet%22+for%E2%80%A6\nThu Sep 29 23:58:47 +0000 2016\tExhibitors_GTEC\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \t166\tRT+%40GTEC%3A+Explore+how+%23MachineLearning+is+a+driving+force+in+%23technology+in+this+post+by+%23GTEC+Diamond+Sponsor+%40PwC_Canada_LLP+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 23:58:46 +0000 2016\tatassistus\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FBFtkXNRbJI+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FXFwksEcJRT\nThu Sep 29 23:58:45 +0000 2016\tatassist\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2F7Ekgm7DRDt+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FSYBypOV3cD\nThu Sep 29 23:58:44 +0000 2016\tatassistnz\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FdUEPMAE29T+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2F98Lbx2B2SB\nThu Sep 29 23:58:42 +0000 2016\tatassistuk\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2F9yfxT5QVbv+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2Ffwsq0g9bVf\nThu Sep 29 23:58:41 +0000 2016\tatassistNL\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2Fgs21XjROVP+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2F5fIhAbLQN3\nThu Sep 29 23:58:40 +0000 2016\tatassistYT\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FpISy9oHt6T+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FDBSfoJKo9u\nThu Sep 29 23:58:39 +0000 2016\tatassistNT\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FqFbKhfGWAH+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2Fme8n89A46C\nThu Sep 29 23:58:37 +0000 2016\tatassistPE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FSbiC3fRTzv+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FVeb9woZRam\nThu Sep 29 23:58:36 +0000 2016\tatassistNU\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FTITDhinGuh+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2Fy2zmwCF33K\nThu Sep 29 23:58:35 +0000 2016\tjscarp\tCompound 0.7494 Negative 0.0 Neutral 0.556 Positive 0.444  \t81\t%40infobarbosa+%40wcristoni+thanks+for+coming%21+Safe+travels+home+from+Strata%21\nThu Sep 29 23:58:35 +0000 2016\tatassistQC\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FSxxWH1z0wW+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FEzujzGvaYb\nThu Sep 29 23:58:34 +0000 2016\tatassistNB\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FRtbUQQTt7I+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FIPueipWdcn\nThu Sep 29 23:58:33 +0000 2016\tatassistBC\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FnluND84eFb+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2Fv2jAxlhL9c\nThu Sep 29 23:58:31 +0000 2016\tRishuGarg5\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40INFA_BD%3A+Answer+Marketing%27s+simplest+questions+with+rock-hard+data+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2F3NgJ3N5y%E2%80%A6\nThu Sep 29 23:58:30 +0000 2016\tatassistNS\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FieScwUodhk+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FuI98fOQ22c\nThu Sep 29 23:58:30 +0000 2016\tPaulFerrillo\tCompound -0.1779 Negative 0.192 Neutral 0.659 Positive 0.15  \t132\tSounds+like+a+need+for+%23AI+and+%23MachineLearning+to+detect+potentially+fraudulent+transactions%3F+https%3A%2F%2Ft.co%2FmUVX3PnDMc\nThu Sep 29 23:58:29 +0000 2016\tatassistMB\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FEX50vYNTbd+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FwzETRvnUb1\nThu Sep 29 23:58:28 +0000 2016\tatassistau\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FHwKhdG8jGL+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FVNLNpWzUyT\nThu Sep 29 23:58:25 +0000 2016\tatassistON\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FpS97Qsri3Z+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2Fsn8ZHuBIbq\nThu Sep 29 23:58:24 +0000 2016\tatassistAB\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FZGn8LUkUMD+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FBcfpeWTKKA\nThu Sep 29 23:58:20 +0000 2016\tatassistSK\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tMike%27s+a+Condominium%2FStrata+property+manager.+Read+more+of+his+story+here%3A+https%3A%2F%2Ft.co%2FPPI5TJfmQW+%23condominium%E2%80%A6+https%3A%2F%2Ft.co%2FrlOLAAlMer\nThu Sep 29 23:57:47 +0000 2016\tkslimes\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t94\tRT+%40rgmelko%3A+Exact+%23MachineLearning+Topological+States%0Ahttps%3A%2F%2Ft.co%2FSJp1KsmtD8\nThu Sep 29 23:57:20 +0000 2016\tmonica1mullen\tCompound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  \t168\tRT+%40INFA_BD%3A+%22Artificial+Intelligence+will+revolutionize+transportation%2C+%23healthcare+and+society.%22+-+%40JimMcHugh+%23StrataHadoop+%23AI+%23healthIT%E2%80%A6\nThu Sep 29 23:56:49 +0000 2016\tmonica1mullen\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t162\tRT+%40JohnM_Haddad%3A+TD+Ameritrade+%23StrataHadoop+has+4+zones+in+the+data+lake%3A+landing%2C+exploratory+analytics%2C+adv+analytics%2C+app+access+https%E2%80%A6\nThu Sep 29 23:56:39 +0000 2016\tmonica1mullen\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t164\tRT+%40JohnM_Haddad%3A+TD+Ameritrade+%23StrataHadoop+using+data+lakes+and+%40Informatica+for+activity+and+log+analysis+on+Web+site+https%3A%2F%2Ft.co%2FrB6N%E2%80%A6\nThu Sep 29 23:56:38 +0000 2016\t4everfusiongal\tCompound 0.8774 Negative 0.0 Neutral 0.613 Positive 0.387  \t151\tEnjoying+city+life+from+a+comfy+spot+after+an+action+packed+week+with+fantastic+%40hortonworks+team%21+Thank+you+all%21+https%3A%2F%2Ft.co%2FXwYtUTEp3l\nThu Sep 29 23:56:08 +0000 2016\tmonica1mullen\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t156\teWeek%3A+Informatica%27s+%23Analytics+Package+Brings+Order+to+%23BigData+Lakes+https%3A%2F%2Ft.co%2FVNZM8Zqdt2+%40strataconf+https%3A%2F%2Ft.co%2FdKIaan0gZY\nThu Sep 29 23:56:07 +0000 2016\tsahil29nov\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40INFA_BD%3A+Tom+Reilly+and+James+Powell+discuss+how+Nielsen+partners+with+%40cloudera++on+%23Hadoop+in+the+%23cloud++at+%23StrataHadoop+https%3A%2F%2Ft.%E2%80%A6\nThu Sep 29 23:55:54 +0000 2016\ttechsofcolor\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t137\tRT+%40SSOwens711%3A+ToC+talks+about+Big+Data+%23ToCBigData+%40hortonworks+%40techsofcolor+%40thoughtworks+https%3A%2F%2Ft.co%2FVTsyldAeuc\nThu Sep 29 23:55:51 +0000 2016\ttechsofcolor\tCompound 0.0772 Negative 0.0 Neutral 0.843 Positive 0.157  \t108\t%40YolandaMDavis+Diving+deeply+into+%23hadoop+%40thoughtworks+%40hortonworks+https%3A%2F%2Ft.co%2FPdwFzHUNHu\nThu Sep 29 23:55:49 +0000 2016\tCharles_JUDITH\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t139\tRT+%40gwenshap%3A+%22Real+time+is+overused+term+-+stream+processing+is+a+system+that+continously+processes+incoming+data%22+%23StrataHadoop\nThu Sep 29 23:55:23 +0000 2016\tphloider\tCompound 0.5632 Negative 0.0 Neutral 0.824 Positive 0.176  \t178\tRT+%40Talena_Inc%3A+%E2%80%9CMachine+intelligence+is+the+next+step+in+the+evolution+of+%23MachineLearning%E2%80%9D.+Learn+more+from+%40DataconomyMedia+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 23:55:14 +0000 2016\tmchataigner\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t139\tRT+%40gwenshap%3A+%22Real+time+is+overused+term+-+stream+processing+is+a+system+that+continously+processes+incoming+data%22+%23StrataHadoop\nThu Sep 29 23:55:13 +0000 2016\tstratpoint\tCompound 0.4767 Negative 0.0 Neutral 0.819 Positive 0.181  \t162\t%23Facebook+%23Messenger+is+using+machine+learning+to+prompt+you+to+%23pay+back+your+friends++https%3A%2F%2Ft.co%2FsXGqllj9Xi%0A%23tech+%23funny%23machinelearning\nThu Sep 29 23:55:11 +0000 2016\tDBaker007\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \t146\t.%40forrester+Sees+Steady+Growth+for+%23BigData+via+%40datanami+https%3A%2F%2Ft.co%2FkCMoWlMgDa+%23Hadoop+%23NoSQL+https%3A%2F%2Ft.co%2FrfObuoilMg\nThu Sep 29 23:55:05 +0000 2016\tSubhakaraM\tCompound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  \t170\tRT+%40INFA_BD%3A+LIVE++at+%23StrataHadoop%3A+Princeton%27s+Sam+Wang+discusses+statistics%2C+machine+learning%2C+and+the+%22crazy+2016+election.%22+%23govit+%23po%E2%80%A6\nThu Sep 29 23:54:57 +0000 2016\tcareersiftjac\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t102\tHadoop+Big+Data+Tools+Expert+Jacksonville+Fl+Jobs+%23jobs+%23jobsearch+https%3A%2F%2Ft.co%2FVJHq1tdCJE\nThu Sep 29 23:54:24 +0000 2016\tPomBuzz\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40hornpolish+talks+about+how+SAS+is+%22more+open+than+you+might+think%22+++%23opensource+%23bigdata+%23hadoop+http%E2%80%A6\nThu Sep 29 23:53:59 +0000 2016\tshakamunyi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40techjunkiejh%3A+Checking+out+%22Pig+vs+Hive+vs+SQL+%E2%80%93+Difference+between+the+%23BigData+Tools%22++https%3A%2F%2Ft.co%2FiLBnWp3B2m+%23Hadoop+https%3A%2F%2Ft.co%2F4%E2%80%A6\nThu Sep 29 23:53:52 +0000 2016\tparikhash\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40INFA_BD%3A+Answer+Marketing%27s+simplest+questions+with+rock-hard+data+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2F3NgJ3N5y%E2%80%A6\nThu Sep 29 23:53:52 +0000 2016\tmonica1mullen\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t160\tRT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6\nThu Sep 29 23:53:40 +0000 2016\tarcadiadata\tCompound 0.6249 Negative 0.0 Neutral 0.661 Positive 0.339  \t77\tGreat+way+to+end+our+time+at+%23StrataHadoop++https%3A%2F%2Ft.co%2F2h0xSQnpgO\nThu Sep 29 23:53:26 +0000 2016\tmjmsf\tCompound 0.6249 Negative 0.0 Neutral 0.745 Positive 0.255  \t116\tGreat+5+min+talk+by+%40tobranno+at+%23StrataHadoop+about+%23CiscoDC+scale+and+speed.+https%3A%2F%2Ft.co%2FrJGuLX30UJ\nThu Sep 29 23:53:20 +0000 2016\tIBMDataScience\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t123\tRT+%40robdthomas%3A+My+presentation+from+%40strataconf++%23StrataHadoop+%23strataconf+today+https%3A%2F%2Ft.co%2FYWAzGeIZZw\nThu Sep 29 23:53:19 +0000 2016\tValueChainVids\tCompound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  \t115\t%28advanced+value+chain+videos+at+https%3A%2F%2Ft.co%2F6zSUphUVkM+%29+%23ValueChain+https%3A%2F%2Ft.co%2FyLd8gaowCA\nThu Sep 29 23:53:10 +0000 2016\tmonica1mullen\tCompound 0.3182 Negative 0.0 Neutral 0.85 Positive 0.15  \t168\tRT+%40Informatica%3A+Informatica+Unveils+Industry-First+Data+Lake+Management+Solution%3A+by+%40BigData_Review+https%3A%2F%2Ft.co%2F7PkM137VOm+%40strataconf+%23%E2%80%A6\nThu Sep 29 23:53:09 +0000 2016\tRayFleming\tCompound 0.3182 Negative 0.0 Neutral 0.839 Positive 0.161  \t145\tSwedish+researchers+build+dyslexia+screening+tool+with+cloud-based+analytics+solution+https%3A%2F%2Ft.co%2FDpHfP5X9Up+%23Azure+%23machinelearning\nThu Sep 29 23:53:00 +0000 2016\tvicperotti\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t172\tRT+%40dataandme%3A+Great+intro+series%3A+%22Model+evaluation%2C+model+selection%2C+and+algorithm+selection+in+%23MachineLearning+%22+by+%40rasbt+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 23:52:56 +0000 2016\talextaya\tCompound 0.0 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2016\tBuzzSaffa\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40hornpolish+talks+about+how+SAS+is+%22more+open+than+you+might+think%22+++%23opensource+%23bigdata+%23hadoop+http%E2%80%A6\nThu Sep 29 23:44:28 +0000 2016\tm1db\tCompound 0.4404 Negative 0.0 Neutral 0.769 Positive 0.231  \t174\tRT+%40DataFlairWS%3A+%22A+comprehensive+guide+of+Spark+for+beginners.%0A%23BigData+%23ApacheSpark+%23Spark+%23MapReduce+%23Hadoop+%23DataScience...+https%3A%2F%2Ft.c%E2%80%A6\nThu Sep 29 23:44:21 +0000 2016\tVVagias\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40EdKwedar%3A+The+Big+%27Big+Data%27+Question%3A+%23Hadoop+or+%23Spark+%3F+%7C+%23BigData+%23DataScience+https%3A%2F%2Ft.co%2FJ7sZ1JHnrG+https%3A%2F%2Ft.co%2FIbM2SB7blt\nThu Sep 29 23:44:20 +0000 2016\tm1db\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40EdKwedar%3A+The+Big+%27Big+Data%27+Question%3A+%23Hadoop+or+%23Spark+%3F+%7C+%23BigData+%23DataScience+https%3A%2F%2Ft.co%2FJ7sZ1JHnrG+https%3A%2F%2Ft.co%2FIbM2SB7blt\nThu Sep 29 23:44:20 +0000 2016\tMoabdel\tCompound 0.3818 Negative 0.0 Neutral 0.867 Positive 0.133  \t168\tRT+%40xuyleman%3A+Check+out+my+latest+blog+%40xuyleman+about+bringing+Benefits+of+%23BigData+to+Businesses+%40CiscoCloud+%23StrataHadoop+https%3A%2F%2Ft.co%2Fy%E2%80%A6\nThu Sep 29 23:43:53 +0000 2016\ttheCUBE\tCompound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  \t131\tRT+%40ritika_gunnar%3A+A+great+way+to+kick+of+our+%23DataFirst+launch+with+%40theCUBE+%23BigDataNYC+https%3A%2F%2Ft.co%2Fvvdzw03IK5\nThu Sep 29 23:43:41 +0000 2016\tfreelance_jobs\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t145\t%28Budget%3A+%24250+-+%24750+USD%2C+Jobs%3A+Crystal+Reports%2C+Hadoop%2C+Machine+Learning%2C+Psychology%2C+SAS%29+https%3A%2F%2Ft.co%2F3zlSIe3NLU\nThu Sep 29 23:43:35 +0000 2016\tJoindaHunt\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t171\tsas+clinical+trial+programmers+by+peppyluvb+https%3A%2F%2Ft.co%2Fl1e8cRNkiS++%28Budget%3A+%24250+-+%24750+USD%2C+Jobs%3A+Crystal+Reports%2C+Hadoop%2C+Machine+Lear%E2%80%A6\nThu Sep 29 23:43:32 +0000 2016\tNVSData\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 23:43:18 +0000 2016\tmachinelearnbot\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40jimmfleming%3A+Notes+on+Hierarchical+Multiscale+Recurrent+Neural+Networks+https%3A%2F%2Ft.co%2Fbh1pfnfxoU+%23deeplearning+%23machinelearning+%23nlp+htt%E2%80%A6\nThu Sep 29 23:43:08 +0000 2016\tLeapmanNatalie\tCompound 0.2263 Negative 0.0 Neutral 0.84 Positive 0.16  \t94\tCondition+anent+the+strata+mangers+with-it+straight+a+strata+sparingness+collection%3A+JMmZBUY\nThu Sep 29 23:43:05 +0000 2016\tnass1060\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40SearchCloudApps%3A+The+evolution+of+%23datascience+via+%40IBMAnalytics%27s+%40ritika_gunnar%3A+https%3A%2F%2Ft.co%2FrQoZMmdIAK+%23machinelearning+https%3A%2F%2Ft.c%E2%80%A6\nThu Sep 29 23:43:01 +0000 2016\tpeter_ryans\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t153\tStarter+blueprint+for+%23iot+on+%23ibmbluemix+https%3A%2F%2Ft.co%2FEyTq8TVeKX+%23machinelearning+%23bigdata+%23blockchain+https%3A%2F%2Ft.co%2F87DHFC5mqV\nThu Sep 29 23:43:00 +0000 2016\tMSAccel\tCompound 0.3595 Negative 0.0 Neutral 0.849 Positive 0.151  \t160\t%23ICYMI+-+regsiter+today%21+Join+us+%40CICCtech%27s+International+Business+Summit+Nov+2%3A+https%3A%2F%2Ft.co%2FLAJIUPxCpx+%23IoT+%23BigData+%23MachineLearning\nThu Sep 29 23:42:58 +0000 2016\tEdgarSanchez\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%40gcosma1%3A+Deep+learning+architecture+diagrams%0Ahttps%3A%2F%2Ft.co%2F8MLDvCDjWV+%23DataScience+%23deeplearning+%23MachineLearning+https%3A%2F%2Ft.co%2FEAdbJQowf8\nThu Sep 29 23:42:50 +0000 2016\tSandeepDadlani\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t110\tRT+%40kdnuggets%3A+%23MachineLearning+%23Trends+and+the+Future+of+%23AI+%23KDN+https%3A%2F%2Ft.co%2FgF1jd1oj6z\nThu Sep 29 23:42:46 +0000 2016\todsc\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \t172\tRT+%40exaptive%3A+Help+finding+signal+in+noise%3A+Ten+Myths+About+Machine+Learning+https%3A%2F%2Ft.co%2FXJc70YH0vv+%23datascience+%23machinelearning+https%3A%2F%2F%E2%80%A6\nThu Sep 29 23:42:05 +0000 2016\tSubhakaraM\tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \t164\tRT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40Cisco+Director+%40tobranno+talks+about+blocking+23+million+%23cyberattacks+at+the+connected+Rio+%23Olympics.%E2%80%A6\nThu Sep 29 23:41:56 +0000 2016\tshakamunyi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40mpyllan%3A+A+%23NeuralNetwork+for+Machine+Translation%2C+at+Production+Scale+%7C+https%3A%2F%2Ft.co%2F6nbKROBHB5+%23NLP+%23MachineLearning+via+%40googleresea%E2%80%A6\nThu Sep 29 23:41:56 +0000 2016\tshakamunyi\tCompound 0.6115 Negative 0.0 Neutral 0.8 Positive 0.2  \t155\tRT+%40ajsondev%3A+Most+excellent+that%27s+the+train+journey+sorted+for+all+next+week+%23dev+%23MachineLearning+%23education+https%3A%2F%2Ft.co%2FGvWSjKJIPB\nThu Sep 29 23:41:35 +0000 2016\tInthehighest1\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%40SQLServer%3A+%23Azure+%23HDInsight+now+running+%23Hortonworks+HDP+2.5+with+LLAP+for+up+to+25x+faster+queries.+%23StrataHadoop+https%3A%2F%2Ft.co%2FnGesjc%E2%80%A6\nThu Sep 29 23:41:33 +0000 2016\tEdgarSanchez\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40MikeTamir%3A+Deep+Learning+Part+1%3A+Comparison+of+Symbolic+Deep+Learning+Frameworks+https%3A%2F%2Ft.co%2FapbnjZhpJ3+%23MachineLearning+%23AI+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 23:41:17 +0000 2016\tritika_gunnar\tCompound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  \t108\tA+great+way+to+kick+of+our+%23DataFirst+launch+with+%40theCUBE+%23BigDataNYC+https%3A%2F%2Ft.co%2Fvvdzw03IK5\nThu Sep 29 23:40:58 +0000 2016\trodmar_zavala\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t149\tRT+%40jeffheaton%3A+A+visual+introduction+to+%23MachineLearning+%2C+just+scroll+through+and+watch+the+%23JavaScript+.+https%3A%2F%2Ft.co%2FfZTo2whNYj\nThu Sep 29 23:40:49 +0000 2016\tforwardtension\tCompound 0.636 Negative 0.125 Neutral 0.512 Positive 0.363  \t99\t%40kdinerman+%40hortonworks+%40eccresta+lucky+to+have+talented+folks+together+again.+++No+limits%21\nThu Sep 29 23:40:44 +0000 2016\tchandragouda07\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6\nThu Sep 29 23:40:43 +0000 2016\tmandhriti\tCompound -0.3182 Negative 0.168 Neutral 0.741 Positive 0.091  \t151\tRT+%40tobranno%3A+Tell+your+kids+to+go+into+data+science.+Job+board+at+strata+Hadoop+full+of+desperate+cries+for+help+from+companies+with+deep%E2%80%A6\nThu Sep 29 23:40:38 +0000 2016\tVijayAnand180\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t121\tthe+%40MicroStrategy+sales+team+one+ups+the+marketing+guys+at+%23StrataHadoop+%23SOCKGAME+https%3A%2F%2Ft.co%2FdL3pIN3CgH\nThu Sep 29 23:40:23 +0000 2016\tsahil29nov\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40INFA_BD%3A+Answer+Marketing%27s+simplest+questions+with+rock-hard+data+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2F3NgJ3N5y%E2%80%A6\nThu Sep 29 23:40:20 +0000 2016\tmpyllan\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t112\tPricing+Strategy%3A+%23MachineLearning+%26amp%3B+Market+Dynamics+%7C+https%3A%2F%2Ft.co%2FZjdSpHwCv7+%23Business\nThu Sep 29 23:40:15 +0000 2016\tmandhriti\tCompound 0.4927 Negative 0.0 Neutral 0.824 Positive 0.176  \t176\tRT+%40ciscoDC%3A+10+really+good+%23BigData+reasons+to+visit+Cisco%27s+booth+at+%23StrataHadoop+NYC+this+week.%0Ahttps%3A%2F%2Ft.co%2FgCaaxp8NCe+https%3A%2F%2Ft.co%2Fkv%E2%80%A6\nThu Sep 29 23:40:14 +0000 2016\tdustcloud_io\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t196\tRT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6\nThu Sep 29 23:40:10 +0000 2016\trsrit\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t134\t3+Industries+That+Will+Be+Transformed+By+%23AI%2C+%23MachineLearning+And+%23BigData+In+The+Next+Decade+https%3A%2F%2Ft.co%2F6gJCvfAu0C\nThu Sep 29 23:40:08 +0000 2016\tlucasoft_co_uk\tCompound 0.5562 Negative 0.0 Neutral 0.826 Positive 0.174  \t155\tRT+%40IBMDataScience+Get+free+Raspberry+Pi+3+at+Strata%2BHadoop+World%21+Visit+%23IBM+Booth+439+to+find+out+%23StrataHadoop+https%3A%2F%2Ft.co%2FZgbBKsARvC\nThu Sep 29 23:39:53 +0000 2016\t10xArmy\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40gp_pulipaka%3A+%23SparkText%3A+Biomedical+%23TextMining+on+%23BigData+Framework.+%23MachineLearning+%23DataScience+%23AI+%23HealthCare+%0A%0Ahttps%3A%2F%2Ft.co%2FzJg%E2%80%A6\nThu Sep 29 23:39:49 +0000 2016\t10xArmy\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t161\tRT+%40illanaRaia%3A+Heavy-hitter+partnership+in+the+%22golden+age+of+machine+learning+and+AI%22...+https%3A%2F%2Ft.co%2FyeYXptnIM7+%23AI+%23MachineLearning+%23KM\nThu Sep 29 23:39:39 +0000 2016\tmandhriti\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t143\t%40CiscoDC+is+at+%23strataconf+-+learn+more+about+%23BigData+and+%23DigitalTransformation++https%3A%2F%2Ft.co%2Fif55kQ9ved+via+%40raghu_nambiar\nThu Sep 29 23:39:17 +0000 2016\tDeltaBrain\tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \t160\tInteresting+that+2%2F3+of+these+involve+data+from+monitoring+hardware%2C+whereas+healthcare+big+data+has+previously+foc%E2%80%A6+https%3A%2F%2Ft.co%2FGsdBSstuUe\nThu Sep 29 23:39:06 +0000 2016\tMarcusFrei_\tCompound 0.4019 Negative 0.0 Neutral 0.87 Positive 0.13  \t172\tRT+%40Esben_UR%3A+Interesting+research+on+%23machinelearning+conducted+by+.%40MIT%2C+.%40TUDelftDRI+and+.%40esa+in+space%3A+a+%23robot+learns+to+see+https%3A%2F%2F%E2%80%A6\nThu Sep 29 23:39:06 +0000 2016\tfusemachines\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t170\tRT+%40lisachwinter%3A+3+Industries+That+Will+Be+Transformed+By+%23AI%2C+%23MachineLearning+And+%23BigData+In+The+Next+Decade+via+%40forbes+https%3A%2F%2Ft.co%2F2%E2%80%A6\nThu Sep 29 23:39:01 +0000 2016\tcontinuity1tech\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t120\t%23MachineLearning+is+at+the+very+peak+of+its+hype+cycle+via+%40Gartner_inc+https%3A%2F%2Ft.co%2FHC0s084lxh+++%23BigData\nThu Sep 29 23:39:00 +0000 2016\tRajashekharPI\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40hornpolish+talks+about+how+SAS+is+%22more+open+than+you+might+think%22+++%23opensource+%23bigdata+%23hadoop+http%E2%80%A6\nThu Sep 29 23:38:59 +0000 2016\tedublancas\tCompound -0.7088 Negative 0.285 Neutral 0.579 Positive 0.135  \t158\tRT+%40ginablaber%3A+Precision+Medicine+Initiative%3A+cancer+and+other+top+health+issues+need+data+solutions.+These+are+solvable+problems%21+%40dpatil%E2%80%A6\nThu Sep 29 23:38:04 +0000 2016\tIotJw\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t121\tDeep+learning+architecture+diagrams+-+FastML+https%3A%2F%2Ft.co%2F4dmFQl7WPg+%40fastml+%23deeplearning+%23MachineLearning\nThu Sep 29 23:38:02 +0000 2016\ttopiclydrones\tCompound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  \t180\tRT+%40petrosoininen%3A+Golf%2C+Drones%2C+React%2C+Pyrite3D+and+Azure+%28%23elasticsearch%2C+SQL%2C+%23machinelearning%29+https%3A%2F%2Ft.co%2FPysDYUq31V+Awesome+%40StefanG%E2%80%A6\nThu Sep 29 23:37:53 +0000 2016\tfabirasgado\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t115\tRT+%40topiclyapis%3A+4+new+%23apis+posts+about+%23machinelearning+%23husbystockholm+https%3A%2F%2Ft.co%2F9x7m6KBr2y\nThu Sep 29 23:37:39 +0000 2016\tVVagias\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t186\tRT+%40resumex88%3A+sas+clinical+trial+programmers+by+peppyluvb%3A+%28Budget%3A+%24250+-+%24750+USD%2C+Jobs%3A+Crystal+Reports%2C+Hadoop%2C+Machine%E2%80%A6+https%3A%2F%2Ft.co%2F%E2%80%A6\nThu Sep 29 23:37:39 +0000 2016\tresumex88\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tsas+clinical+trial+programmers+by+peppyluvb%3A+%28Budget%3A+%24250+-+%24750+USD%2C+Jobs%3A+Crystal+Reports%2C+Hadoop%2C+Machine%E2%80%A6+https%3A%2F%2Ft.co%2F9E5Lt4S81f\nThu Sep 29 23:37:20 +0000 2016\tdpatil\tCompound -0.7088 Negative 0.285 Neutral 0.579 Positive 0.135  \t158\tRT+%40ginablaber%3A+Precision+Medicine+Initiative%3A+cancer+and+other+top+health+issues+need+data+solutions.+These+are+solvable+problems%21+%40dpatil%E2%80%A6\nThu Sep 29 23:37:15 +0000 2016\tCosmicTherapy\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t161\tRT+%40illanaRaia%3A+Heavy-hitter+partnership+in+the+%22golden+age+of+machine+learning+and+AI%22...+https%3A%2F%2Ft.co%2FyeYXptnIM7+%23AI+%23MachineLearning+%23KM\nThu Sep 29 23:37:01 +0000 2016\tbiancatwilk\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\tRT+%40vijilent%3A+Read+our+white+paper+about+%23MachineLearning+for+%23LeadQualification+here%3A+https%3A%2F%2Ft.co%2F3BIscoydpF+https%3A%2F%2Ft.co%2FJeADvPQ43k\nThu Sep 29 23:36:45 +0000 2016\tHRafhumcar\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40gp_pulipaka%3A+%23SparkText%3A+Biomedical+%23TextMining+on+%23BigData+Framework.+%23MachineLearning+%23DataScience+%23AI+%23HealthCare+%0A%0Ahttps%3A%2F%2Ft.co%2FzJg%E2%80%A6\nThu Sep 29 23:36:34 +0000 2016\terikschlegel1\tCompound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  \t180\tRT+%40petrosoininen%3A+Golf%2C+Drones%2C+React%2C+Pyrite3D+and+Azure+%28%23elasticsearch%2C+SQL%2C+%23machinelearning%29+https%3A%2F%2Ft.co%2FPysDYUq31V+Awesome+%40StefanG%E2%80%A6\nThu Sep 29 23:36:22 +0000 2016\tHAL_9000_AI\tCompound -0.296 Negative 0.128 Neutral 0.872 Positive 0.0  \t148\tRT+%40abunchofdata%3A+If+you+are+practicing+your+power+pose%2C+stop+now+-+https%3A%2F%2Ft.co%2FDhrpJYq6D6+%23machinelearning+%23IoT+%23AI+%23BigData\nThu Sep 29 23:36:00 +0000 2016\tabunchofdata\tCompound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  \t126\tIf+you+are+practicing+your+power+pose%2C+stop+now+-+https%3A%2F%2Ft.co%2FDhrpJYq6D6+%23machinelearning+%23IoT+%23AI+%23BigData\nThu Sep 29 23:35:57 +0000 2016\tjeffheaton\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t129\tA+visual+introduction+to+%23MachineLearning+%2C+just+scroll+through+and+watch+the+%23JavaScript+.+https%3A%2F%2Ft.co%2FfZTo2whNYj\nThu Sep 29 23:35:51 +0000 2016\tRobRe62\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40KirkDBorne%3A+Universal+function+approximation+with+%23DeepLearning+%28in+Torch+and+R%29+https%3A%2F%2Ft.co%2Fu9s3AxGruE+%23abdsc+%23MachineLearning+%23DataS%E2%80%A6\nThu Sep 29 23:35:50 +0000 2016\tRobRe62\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t173\tRT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+I%29+https%3A%2F%2Ft.co%2F8qcag7GGMF+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6\nThu Sep 29 23:35:49 +0000 2016\tRobRe62\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+II%29+https%3A%2F%2Ft.co%2FesFtipGCmt+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6\nThu Sep 29 23:35:47 +0000 2016\tFiona_INFA\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t160\tRT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6\nThu Sep 29 23:35:45 +0000 2016\tGoodComputerTa\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t142\tToshiba+Strata+DK+16e+%28WITH+DK-40+CHIP%29+and+DK+40+PHONE+SYSTEMS+WITH+CARDS+https%3A%2F%2Ft.co%2FINBoEB3bqa+https%3A%2F%2Ft.co%2FqIHPZ1WwRY\nThu Sep 29 23:35:37 +0000 2016\trajrknec\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40INFA_BD%3A+Answer+Marketing%27s+simplest+questions+with+rock-hard+data+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2F3NgJ3N5y%E2%80%A6\nThu 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\t173\t.%40SAP+officially+announces+%23acquisition+of+%23BigData+%23startup+%40Altiscale+via+%40VentureBeat+https%3A%2F%2Ft.co%2F1sbJecy7HU%E2%80%A6+https%3A%2F%2Ft.co%2FiArs1Q3jpG\nThu Sep 29 23:35:07 +0000 2016\teisenzopf\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t109\tGoogle%E2%80%99s+Cloud+%23MachineLearning+service+is+now+in+public+beta+https%3A%2F%2Ft.co%2FHeD60X9KlH+%23ai\nThu Sep 29 23:35:05 +0000 2016\tKatySlingluff\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t150\tRT+%40INFA_BD%3A+LIVE+from+%23StrataHadoop%3A+%40dj44+gives+a+view+of+%22Data+Science+from+the+White+House%22+%23GovIT+https%3A%2F%2Ft.co%2FrBlOMnClRT\nThu Sep 29 23:34:37 +0000 2016\tG10Link\tCompound 0.2023 Negative 0.0 Neutral 0.847 Positive 0.153  \t133\tRT+%40MATLAB%3A+What+are+top+%23machinelearning+experts+working+on%3F+https%3A%2F%2Ft.co%2FPGHeJVvc1E+https%3A%2F%2Ft.co%2FMcAztwjrBV\nThu Sep 29 23:34:18 +0000 2016\thomeAInews\tCompound 0.8402 Negative 0.0 Neutral 0.636 Positive 0.364  \t165\tRT+%40mitulmakadia%3A+Here+are+some+best+practices+for+a+successful+bot+development+project+https%3A%2F%2Ft.co%2FkT3x7LL8Qm+%23bots+%23AI+%23MachineLearning%E2%80%A6\nThu Sep 29 23:33:53 +0000 2016\tSocial_Man13\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t160\tRT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6\nThu Sep 29 23:33:43 +0000 2016\tSansoy\tCompound 0.4588 Negative 0.0 Neutral 0.769 Positive 0.231  \t147\tApttus+Nets+%2488M%2C+Pushes+Machine+Learning+With+New+Intelligent+Agent+%27Max%27%0Ahttps%3A%2F%2Ft.co%2FnDnIOk4znz%0A%23MachineLearning+%23apttus\nThu Sep 29 23:33:27 +0000 2016\ttwistedblaster\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t150\tRT+%40Sansoy%3A+Google%E2%80%99s+Cloud+Machine+Learning+service+is+now+in+public+beta%0Ahttps%3A%2F%2Ft.co%2FRCO6vPiaxT%0A%23MachineLearning+%23google\nThu Sep 29 23:33:22 +0000 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\t170\tRT+%40lizcentoni%3A+%40CiscoDC+is+at+%23strataconf+-+learn+more+about+%23BigData+and+%23DigitalTransformation++https%3A%2F%2Ft.co%2FE78B63mPYm+via+%40raghu_nambi%E2%80%A6\nThu Sep 29 23:32:40 +0000 2016\tSansoy\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t134\tGoogle%E2%80%99s+Cloud+Machine+Learning+service+is+now+in+public+beta%0Ahttps%3A%2F%2Ft.co%2FRCO6vPiaxT%0A%23MachineLearning+%23google\nThu Sep 29 23:32:15 +0000 2016\tbigboardsio\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 23:31:55 +0000 2016\tREVyourdata\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t155\tRT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos\nThu Sep 29 23:31:37 +0000 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\t167\tJust+How+Smart+Are+Smart+Machines%3F%23MachineLearning%2C%23Technology%2C+%23InformationTechnology%2C%23IT%2C%23ArtificialIntelligence.+https%3A%2F%2Ft.co%2FzFNWcDTs5k\nThu Sep 29 23:30:19 +0000 2016\tpdconner52\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t90\t%40Super70sSports+that+punt+was+on+Strata-Matic+Football.++Triple+1+on+the+dice+I+believe.\nThu Sep 29 23:30:10 +0000 2016\tLucieModsen\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t188\tRT+%40JohnKarryko%3A+%27%40IBM+acquires+%40PromontoryFG%2C+bringing+%23CognitiveComputing.%27+%23BigData+%23MachineLearning+%23DataScience+%23AI+%23IBM%E2%80%A6+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 23:30:03 +0000 2016\tnschaetti\tCompound -0.7096 Negative 0.282 Neutral 0.718 Positive 0.0  \t148\tMr.+%23robot+Creator+on+How+He+Takes+Show+Criticism+--+Vulture.+%23robotic+%23machinelearning+%23AI+%23IA+%23BigData+https%3A%2F%2Ft.co%2FkBr3zqJejw\nThu Sep 29 23:30:00 +0000 2016\tv_vashishta\tCompound 0.0 Negative 0.0 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\t196\tRT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6\nThu Sep 29 23:27:34 +0000 2016\tpeterlangela\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t170\tRT+%40BernardMarr%3A+%23BigData%2C+%23AI+and+%23MachineLearning+Will+Disrupt+Everything%2C+Here+Are+3+Industries+That+Will+Be+Transformed+https%3A%2F%2Ft.co%2FAb%E2%80%A6\nThu Sep 29 23:27:28 +0000 2016\ttheCUBE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tNext+Gen+Analytics+Roundtable+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%40JustinSaadein+%40miriamfriedel+%40jameskobielus\nThu Sep 29 23:27:26 +0000 2016\tCloudJobFair\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 23:27:22 +0000 2016\tFabulousPowers\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t51\tmapr%3A+Tomorrow%21+https%3A%2F%2Ft.co%2Fc8xeTr5JCa\nThu Sep 29 23:27:19 +0000 2016\t_SoftwareTestin\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\t%23SoftwareTesting+%23security+%23softwaretest+%23test%0A%0A%23BigData+%23DevOps+%23DataCenter+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+%E2%80%A6\nThu Sep 29 23:27:19 +0000 2016\tinnova_scape\tCompound -0.5484 Negative 0.228 Neutral 0.772 Positive 0.0  \t175\tRT++Cheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FKUYovstuhQ%C2%A0+via+%40forbes%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FScGWypLw0F\nThu Sep 29 23:27:19 +0000 2016\t_SoftwareTestin\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t181\t%23SoftwareTesting+%23security+%23softwaretest+%23test%0A%0A%23BigData+%23DevOps+%23DataCenter+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+%E2%80%A6\nThu Sep 29 23:27:16 +0000 2016\tinnova_scape\tCompound 0.3094 Negative 0.0 Neutral 0.883 Positive 0.117  \t154\tRT++Apache+Spot+is+a+new+open+source+project+for+cybersecurity.+Uses+Hadoop+for+%23BigData+and+Spark+for%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FQD2aMWHbpx\nThu Sep 29 23:27:09 +0000 2016\tCasertaConcepts\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40theCUBE%3A+Next+Gen+Analytics+Roundtable+on+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%408pathsolutions+%40joe_casert%E2%80%A6\nThu Sep 29 23:27:01 +0000 2016\tDeepLearningHub\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40jimmfleming%3A+Notes+on+Hierarchical+Multiscale+Recurrent+Neural+Networks+https%3A%2F%2Ft.co%2Fbh1pfnfxoU+%23deeplearning+%23machinelearning+%23nlp+htt%E2%80%A6\nThu Sep 29 23:26:54 +0000 2016\tjoe_caserta\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40theCUBE%3A+Next+Gen+Analytics+Roundtable+on+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%408pathsolutions+%40joe_casert%E2%80%A6\nThu Sep 29 23:26:47 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t186\tRT++Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2FyY3L7uPtxC%C2%A0+%23BigData+%23IoT+%23M2M+%23ML%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2F86KuQaDYyk\nThu Sep 29 23:26:45 +0000 2016\tillanaRaia\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t141\tHeavy-hitter+partnership+in+the+%22golden+age+of+machine+learning+and+AI%22...+https%3A%2F%2Ft.co%2FyeYXptnIM7+%23AI+%23MachineLearning+%23KM\nThu Sep 29 23:26:45 +0000 2016\titknowingness\tCompound 0.7003 Negative 0.0 Neutral 0.746 Positive 0.254  \t160\tRT+%40alguadam%3A+Amazing+how+%40SwiftKey+guessed+my+interests+in+a+few+seconds+just+learning+from+my+mail+%23NeuralNetwork+%23MachineLearning+https%3A%E2%80%A6\nThu Sep 29 23:26:44 +0000 2016\tSwiftKey\tCompound 0.7003 Negative 0.0 Neutral 0.746 Positive 0.254  \t160\tRT+%40alguadam%3A+Amazing+how+%40SwiftKey+guessed+my+interests+in+a+few+seconds+just+learning+from+my+mail+%23NeuralNetwork+%23MachineLearning+https%3A%E2%80%A6\nThu Sep 29 23:26:44 +0000 2016\tinnova_scape\tCompound -0.5484 Negative 0.228 Neutral 0.772 Positive 0.0  \t175\tRT++Cheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FKUYovstuhQ%C2%A0+via+%40forbes%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2Fh0UK7iJgEb\nThu Sep 29 23:26:43 +0000 2016\tinnova_scape\tCompound 0.3094 Negative 0.0 Neutral 0.883 Positive 0.117  \t154\tRT++Apache+Spot+is+a+new+open+source+project+for+cybersecurity.+Uses+Hadoop+for+%23BigData+and+Spark+for%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2Fhh5A7SUnPu\nThu Sep 29 23:26:42 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t161\tRT++ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23AWS+%23cloud%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FpGdQSonOQ6\nThu Sep 29 23:26:41 +0000 2016\tDeepSingularity\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40gp_pulipaka%3A+%27%40SAP+Seals+%40Altiscale+Deal.%27+%23BigData+%23DataScience+%23Hadoop+%23HaaS+%23SAPHANA+%23InMemoryComputing++%0A%0Ahttps%3A%2F%2Ft.co%2FM2bhoFdQ1L+h%E2%80%A6\nThu Sep 29 23:26:36 +0000 2016\tj2ames_q\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 23:26:36 +0000 2016\tmapr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t43\tTomorrow%21+https%3A%2F%2Ft.co%2Fj7JB0YII7g\nThu Sep 29 23:26:30 +0000 2016\tDeepSingularity\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40gp_pulipaka%3A+%27%40IBM+acquires+%40PromontoryFG%2C+bringing+%23CognitiveComputing.%27+%23BigData+%23MachineLearning+%23DataScience+%23AI+%23IBM%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6\nThu Sep 29 23:26:24 +0000 2016\tDeepSingularity\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40gp_pulipaka%3A+%23SparkText%3A+Biomedical+%23TextMining+on+%23BigData+Framework.+%23MachineLearning+%23DataScience+%23AI+%23HealthCare+%0A%0Ahttps%3A%2F%2Ft.co%2FzJg%E2%80%A6\nThu Sep 29 23:26:19 +0000 2016\tdeeplearning4j\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t114\tConvexified+Convolutional+Neural+Networks+https%3A%2F%2Ft.co%2FXsHxw806dN+%23deeplearning+%23machinelearning+%23AI\nThu Sep 29 23:26:07 +0000 2016\tgp_pulipaka\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t154\t%27%40SAP+Seals+%40Altiscale+Deal.%27+%23BigData+%23DataScience+%23Hadoop+%23HaaS+%23SAPHANA+%23InMemoryComputing%E2%80%A6+https%3A%2F%2Ft.co%2Fhv3cmESlmg\nThu Sep 29 23:26:03 +0000 2016\ttheCUBE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tNext+Gen+Analytics+Roundtable+on+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%408pathsolutions+%40joe_caserta+%40dvellante\nThu Sep 29 23:26:02 +0000 2016\tgp_pulipaka\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t171\t%27%40IBM+acquires+%40PromontoryFG%2C+bringing+%23CognitiveComputing.%27+%23BigData+%23MachineLearning+%23DataScience+%23AI+%23IBM%E2%80%A6+https%3A%2F%2Ft.co%2FM2nvJG7Dqm\nThu Sep 29 23:26:02 +0000 2016\tgp_pulipaka\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\t%23SparkText%3A+Biomedical+%23TextMining+on+%23BigData+Framework.+%23MachineLearning+%23DataScience+%23AI+%23HealthCare%E2%80%A6+https%3A%2F%2Ft.co%2FQntDyad2fK\nThu Sep 29 23:25:59 +0000 2016\tDavidAmerland\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t104\t%23Google+has+opened+%23MachineLearning+in+the+%23cloud+to+businesses%3A+https%3A%2F%2Ft.co%2FbGhXwWaCmB\nThu Sep 29 23:25:14 +0000 2016\tefulet\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t170\tRT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6\nThu Sep 29 23:25:02 +0000 2016\tNEICS_Info\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40KirkDBorne%3A+Collaborative+Filtering+Recommender+Systems%3A+Item-Based+approach%0Ahttps%3A%2F%2Ft.co%2F5ogCxStc7O+%23abdsc+%23DataScience+%23RecSys+%23Machi%E2%80%A6\nThu Sep 29 23:25:00 +0000 2016\trahulsaini07\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t149\tRT+analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+https%3A%2F%2Ft.co%2Flbp8hD8AZQ+https%3A%2F%2Ft.co%2FJ9tTKkAtrh\nThu Sep 29 23:24:59 +0000 2016\ttheCUBE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t165\tNext+Gen+Analytics+Roundtable+on+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%40kdnuggets+%40YvesMulkers+%40craigbrownphd\nThu Sep 29 23:24:36 +0000 2016\tAprilINFA\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6\nThu Sep 29 23:24:29 +0000 2016\tkevinlum_mapr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t103\tmapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Fls3CZNhu6C\nThu Sep 29 23:24:04 +0000 2016\talllsonwonders_\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40MikeTamir%3A+Quantum+Machine+Learning+-+Microsoft+Research+https%3A%2F%2Ft.co%2Fv9lzxJGDfB+%23MachineLearning+%23AI+%23DataScience+https%3A%2F%2Ft.co%2FnNcE0Fi%E2%80%A6\nThu Sep 29 23:23:50 +0000 2016\tExponentsUS\tCompound 0.25 Negative 0.0 Neutral 0.9 Positive 0.1  \t168\tRT+%40KineticaDB%3A+Come+see+us+%23Strataconf+booth133%2C+let%27s+talk+%23GPU+acceleration+and+the+future+of+advanced+analytics+%23StrataHadoop+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 23:23:39 +0000 2016\tFabulousPowers\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t103\tmapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Fi7j370hmN6\nThu Sep 29 23:23:37 +0000 2016\tFabulousPowers\tCompound 0.6037 Negative 0.0 Neutral 0.709 Positive 0.291  \t129\tmapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FjWUQeTH8z0\nThu Sep 29 23:23:24 +0000 2016\ttj_voros\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t103\tmapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2F7Brt8HiiBf\nThu Sep 29 23:23:24 +0000 2016\ttj_voros\tCompound 0.6037 Negative 0.0 Neutral 0.709 Positive 0.291  \t129\tmapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FmkPDujhIA0\nThu Sep 29 23:23:12 +0000 2016\tmikkhait\tCompound 0.8402 Negative 0.0 Neutral 0.636 Positive 0.364  \t165\tRT+%40mitulmakadia%3A+Here+are+some+best+practices+for+a+successful+bot+development+project+https%3A%2F%2Ft.co%2FkT3x7LL8Qm+%23bots+%23AI+%23MachineLearning%E2%80%A6\nThu Sep 29 23:23:09 +0000 2016\torbreid51\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t164\tRT+%40dez_blanchfield%3A+%40thomaswdinsmore+%40robinbloor+%40eric_kavanagh+%40hadoop+-%0A%0Aand+when+they+do+catch+fire+they+jump+around+like+a+Maggot+on+a%E2%80%A6\nThu Sep 29 23:22:44 +0000 2016\tw_epting\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t150\tRT+%40INFA_BD%3A+Learn+to+turn+%23BigData+Into+Big+Value+With+Data+Lakes+https%3A%2F%2Ft.co%2F5obNYh9DfF+%40strataconf+https%3A%2F%2Ft.co%2F1OKhrNu58u\nThu Sep 29 23:22:09 +0000 2016\tshikhar_sri\tCompound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  \t170\tRT+%40InsightBrief%3A+Cheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FMH580dfPyb+via+%40forbes+%40BernardMarr+%23bigda%E2%80%A6\nThu Sep 29 23:21:59 +0000 2016\tpregazzoni\tCompound 0.5472 Negative 0.0 Neutral 0.799 Positive 0.201  \t140\t%E2%80%9CIBM+Big+SQL+%E2%80%94+HDP+Support+is+Here%21%E2%80%9D+by+Open+Source+Tech+Talks+https%3A%2F%2Ft.co%2F7HMc8c7pF2+%23bigsql+%23hadoop\nThu Sep 29 23:21:55 +0000 2016\tduniacloud\tCompound -0.4767 Negative 0.276 Neutral 0.603 Positive 0.121  \t150\tShape+Security+raises+%2440M+to+fight+cyber+attacks+with+machine+learning+-+SiliconANGLE+%28blog%29+https%3A%2F%2Ft.co%2Fj5whLpK0nt+%23machinelearning\nThu Sep 29 23:21:54 +0000 2016\tjacswork\tCompound 0.0516 Negative 0.13 Neutral 0.729 Positive 0.141  \t160\tRT+%40siatogia%3A+An+interesting+generative+adversarial+approach+to+overcoming+the+%28labelled%29+data+bottleneck+in+%23deeplearning+%23MachineLearning%E2%80%A6\nThu Sep 29 23:21:10 +0000 2016\tMelina_Kate\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t103\tmapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2F2ZDnNdjtDV\nThu Sep 29 23:21:09 +0000 2016\tMelina_Kate\tCompound 0.6037 Negative 0.0 Neutral 0.709 Positive 0.291  \t129\tmapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FyldR7j30qu\nThu Sep 29 23:20:58 +0000 2016\tmasazumi_koga\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t112\tRT+%40mapr%3A+Check+out+our+own+%40Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Ff8p2TjTKrZ\nThu Sep 29 23:20:30 +0000 2016\tStrataDirectory\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tNu+Life+TV+Antenna+Service%0AFast+Efficient+Friendly+%23TV+%23Antennas%0A%23Sydney+%2B+surrounds%0A%23Strata%0Ahttps%3A%2F%2Ft.co%2FqzAxK8Wa8D+https%3A%2F%2Ft.co%2FImpY1mW3Y4\nThu Sep 29 23:20:28 +0000 2016\tLookUpStrata\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\tHow+Do+New+NSW+Laws+Affect+Your+%23Strata+Management+Contracts%3F+%0A%40yourstrata++%2B+Natalie+Fitzgerald+%40stratasenseSyd++%0Ahttps%3A%2F%2Ft.co%2F4P98iJzmcz\nThu Sep 29 23:20:27 +0000 2016\tNickRakhshani\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tFive+technologies+for+the+next+ten+years+%0A%23innovation+%23disrupt+%23Iot+%23mobile+%23drones+%23automation+%23AI+%23machinelearning+https%3A%2F%2Ft.co%2FgslIBHZRxC\nThu Sep 29 23:20:10 +0000 2016\tmmarodia\tCompound 0.0 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\t121\t%23PaperPerDay+reading+about+%23machinelearning+techniques+applied+to+detecting+supernova+https%3A%2F%2Ft.co%2FhtkzxFeZoG\nThu Sep 29 23:20:01 +0000 2016\todsc\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 23:19:59 +0000 2016\tDevOpsSummit\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\tRT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0\nThu Sep 29 23:19:56 +0000 2016\tDevOpsSummit\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t190\tRT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6\nThu Sep 29 23:19:54 +0000 2016\tDevOpsSummit\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t196\tRT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6\nThu Sep 29 23:19:52 +0000 2016\tInanimateAlice\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 23:19:49 +0000 2016\tparikhash\tCompound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  \t168\tRT+%40INFA_BD%3A+%22Artificial+Intelligence+will+revolutionize+transportation%2C+%23healthcare+and+society.%22+-+%40JimMcHugh+%23StrataHadoop+%23AI+%23healthIT%E2%80%A6\nThu Sep 29 23:19:49 +0000 2016\todsc\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40MikeTamir%3A+Deep+Learning+Part+1%3A+Comparison+of+Symbolic+Deep+Learning+Frameworks+https%3A%2F%2Ft.co%2FapbnjZhpJ3+%23MachineLearning+%23AI+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 23:19:25 +0000 2016\tChrisSeminoff\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t103\tmapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Fnbnu3xblGh\nThu Sep 29 23:19:25 +0000 2016\tChrisSeminoff\tCompound 0.6037 Negative 0.0 Neutral 0.709 Positive 0.291  \t129\tmapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FzBA0B1190w\nThu Sep 29 23:19:24 +0000 2016\tIoTJournal\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 23:19:21 +0000 2016\tmichaelzeller\tCompound 0.0 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\t190\tRT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6\nThu Sep 29 23:19:16 +0000 2016\tIoTJournal\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t196\tRT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6\nThu Sep 29 23:19:14 +0000 2016\tmichaelzeller\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40Zementis%3A+ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23AWS+%23cloud+https%3A%2F%2Ft.co%2FguvcomffnP+%23sh%E2%80%A6\nThu Sep 29 23:19:13 +0000 2016\tmapr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t98\tCheck+out+our+own+%40Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Ff8p2TjTKrZ\nThu Sep 29 23:18:59 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\t129\tmapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FWWw6Tw0epy\nThu Sep 29 23:18:36 +0000 2016\tscientistBob\tCompound 0.5574 Negative 0.0 Neutral 0.816 Positive 0.184  \t166\tRT+%40DataScienceDojo%3A+Fantastic+blog+on+the+various+technologies+that+can+be+developed+using+%23AI.+https%3A%2F%2Ft.co%2FeawzsFegGy+%23machinelearning+%40%E2%80%A6\nThu Sep 29 23:18:34 +0000 2016\tgigabytemag\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 23:18:31 +0000 2016\tSYSCONmedia\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 23:18:28 +0000 2016\tSYSCONmedia\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\tRT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0\nThu Sep 29 23:18:27 +0000 2016\tmapr\tCompound 0.6037 Negative 0.0 Neutral 0.69 Positive 0.31  \t124\tRT+%40strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FnwuAJAuvUi\nThu Sep 29 23:18:17 +0000 2016\tSunnyMenon\tCompound 0.3182 Negative 0.0 Neutral 0.753 Positive 0.247  \t145\tSocial+media+tools+may+be+using+sentimental+analysis%3Bbehavioral+patterns+to+increase+user+activities.+%23MachineLearning+%23NLP+%23deeplearning\nThu Sep 29 23:18:04 +0000 2016\tThingsExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 23:18:01 +0000 2016\tThingsExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\tRT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0\nThu Sep 29 23:17:58 +0000 2016\tmilo5714900\tCompound -0.128 Negative 0.111 Neutral 0.889 Positive 0.0  \t144\tGoogle+opens+up+its+machine+learning+tricks+to+all+-+Engadget+https%3A%2F%2Ft.co%2FyydiqhZaiA+%23machinelearning+https%3A%2F%2Ft.co%2FTo6M004ksN\nThu Sep 29 23:17:49 +0000 2016\tBigDataExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 23:17:46 +0000 2016\tBigDataExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\tRT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0\nThu Sep 29 23:17:43 +0000 2016\tPari72\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t173\tRT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+I%29+https%3A%2F%2Ft.co%2F8qcag7GGMF+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6\nThu Sep 29 23:17:42 +0000 2016\tkljiggs\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \t154\tRT+%40cutting%3A+%22Every+data+science+training+program+must+include+ethics+%26amp%3B+security.%22+%40DJ44%2C+U.S.+Chief+Data+Scientist+at+%23StrataHadoop\nThu Sep 29 23:17:32 +0000 2016\titknowingness\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 23:17:31 +0000 2016\tTheSiliconHill\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t150\tRT+%40noyesk%3A+White+House+to+data+scientists%3A+We+need+you+https%3A%2F%2Ft.co%2FfH13FrlhIy+via+%40pcworld+%23datascience+%23bigdata+%23stratahadoop\nThu Sep 29 23:17:31 +0000 2016\tCloudExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t186\t%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML%E2%80%A6+https%3A%2F%2Ft.co%2FMw0JWFV4ba\nThu Sep 29 23:17:27 +0000 2016\tGuduruRajagopal\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t170\tRT+%40Informatica%3A+%223+keys+to+%40Informatica+success%3A+Early+innovation+in+%23cloud%2C+Ease-of-Use+and+Agility.%22+-+%40amit_walia+%23StrataHadoop+%23theCUB%E2%80%A6\nThu Sep 29 23:17:08 +0000 2016\tluba5200\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t176\tRT+%40KeithManthey%3A+The+end+approaches%E2%80%A6+of+Silo%27d+Data+Models%21+%23DataScience+%23BigData+%23Hadoop+https%3A%2F%2Ft.co%2FrIp9rss0lI+https%3A%2F%2Ft.co%2FH6pBepInRo\nThu Sep 29 23:16:58 +0000 2016\tIrmaRaste\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \t168\tRT+%40glskrcom%3A+Google%27s+approach+to+improving+its+conversational+style.+%23AI+%23machinelearning+%23tech+%23analytics+%23digital+%23marketing+%23socialmed%E2%80%A6\nThu Sep 29 23:16:43 +0000 2016\tinfinitymittal\tCompound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  \t174\tRT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40GaryMarcus+explains+the+move+%22from+%23BigData+to+human-level+artificial+intelligence%22+%23AI+https%3A%2F%2Ft.co%2FE%E2%80%A6\nThu Sep 29 23:16:39 +0000 2016\tronnie_bora\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t147\tRT+%40ImDataScientist%3A+RT+%40brakmic%3A+%23Microsoft+will+post+%23MachineLearning+tools+on+GitHub+next+week%0A%0A+https%3A%2F%2Ft.co%2FccrMNE0WTf\nThu Sep 29 23:16:38 +0000 2016\tCloudExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\tRT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0\nThu Sep 29 23:16:35 +0000 2016\tNEICS_Info\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40KirkDBorne%3A+Build+a+basic+recommender+engine+using+R%3A+https%3A%2F%2Ft.co%2F9z5yfPjchh+%23abdsc+%23BigData+%23DataScience+%23RecSys+%23Rstats+%23MachineLear%E2%80%A6\nThu Sep 29 23:16:25 +0000 2016\tSQLCrespi\tCompound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  \t182\tRT+%40gcosma1%3A+Industries%2C+Cortana+Intelligence%2C++Big+Data+%26amp%3B+Machine+Learning+in+the+Cloud%0A+https%3A%2F%2Ft.co%2FytFHujSZqd+%23DataScience+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 23:16:12 +0000 2016\tfreyduni\tCompound 0.4767 Negative 0.0 Neutral 0.744 Positive 0.256  \t109\tPopping+The+Bubble+Of+Artificial+Intelligence+In+Investing+https%3A%2F%2Ft.co%2Fl7yx1KjdDV+%23machinelearning\nThu Sep 29 23:16:10 +0000 2016\tdon_woerner\tCompound 0.2263 Negative 0.0 Neutral 0.909 Positive 0.091  \t151\tRT+%40SAPPartnerBuild%3A+SAP+HANA+Vora+is+a+new+in-memory+query+engine+that+leverages+the+Apache+Spark+execution+framework+to+provide+enriched%E2%80%A6\nThu Sep 29 23:16:09 +0000 2016\tfreyduni\tCompound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  \t94\tArtificial+Intelligence+to+Get+Tech+Nannies+https%3A%2F%2Ft.co%2FBAdJRjgwoG+%23machinelearning\nThu Sep 29 23:15:59 +0000 2016\tHerndonDamien\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t152\tRT+%40analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+https%3A%2F%2Ft.co%2FnqwdWYVC4r+https%3A%2F%2Ft.co%2F4WY7mFSYTT\nThu Sep 29 23:15:33 +0000 2016\tJulienDriod\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t196\tRT+%40Testing_Pro4u%3A+%23BigData+%23DevOps+%23DataCenter+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2F76YRTBZttI+%23BigData+%23IoT+%E2%80%A6+https%E2%80%A6\nThu Sep 29 23:15:32 +0000 2016\tLookUpStrata\tCompound 0.0 Negative 0.0 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Neutral 0.911 Positive 0.089  \t170\tRT+%40MurdochUniNews%3A+%23MachineLearning+the+world%27s+most+in-demand+job%2C+tech+sphere+dominates+employer+needs+%E2%80%93+John+Wenborne%2C+LinkedIn+%23IRUSSF%E2%80%A6\nThu Sep 29 23:15:06 +0000 2016\tBobWillcox\tCompound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  \t182\tRT+%40gcosma1%3A+Industries%2C+Cortana+Intelligence%2C++Big+Data+%26amp%3B+Machine+Learning+in+the+Cloud%0A+https%3A%2F%2Ft.co%2FytFHujSZqd+%23DataScience+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 23:15:00 +0000 2016\tAbsolutdata\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t157\tThe+bottom-up+%23analyticsmodel%3A+building+for+the+future+https%3A%2F%2Ft.co%2F0dzFaYoO49+%23BigData+%23BigData+%23analytics+%23IoT+%23AI+%23MachineLearning\nThu Sep 29 23:14:52 +0000 2016\todsc\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%40gcosma1%3A+Deep+learning+architecture+diagrams%0Ahttps%3A%2F%2Ft.co%2F8MLDvCDjWV+%23DataScience+%23deeplearning+%23MachineLearning+https%3A%2F%2Ft.co%2FEAdbJQowf8\nThu Sep 29 23:14:44 +0000 2016\tThugMetrics\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t149\tRT+%40NEICS_Info%3A+Vendors+Pile+on+%23BigData+News+at+%23Strata+-+Enterprise+Apps+Today+%23Analytics+%23DataAnalysis+https%3A%2F%2Ft.co%2FYlNEQOoyFm\nThu Sep 29 23:14:43 +0000 2016\tMyahMcTear\tCompound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  \t170\tRT+%40InsightBrief%3A+Cheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FMH580dfPyb+via+%40forbes+%40BernardMarr+%23bigda%E2%80%A6\nThu Sep 29 23:14:40 +0000 2016\tVVagias\tCompound -0.128 Negative 0.103 Neutral 0.897 Positive 0.0  \t168\tRT+%40JSHorwitz%3A+.%40ApacheSpark+Makers+Build+contest+showcasing+cutting+edge+applications.+%23DataFirst+%40IBM+%40ritika_gunnar++https%3A%2F%2Ft.co%2Fx4n6n5%E2%80%A6\nThu Sep 29 23:14:39 +0000 2016\todsc\tCompound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  \t164\tRT+%40Ronald_vanLoon%3A+Machine+learning%2C+IoT+and+big+data%3A+Retailers+need+to+embrace+latest+tech+or+fall+behind+%7C+%23MachineLearning+%23IoT+%23RT+ht%E2%80%A6\nThu Sep 29 23:14:39 +0000 2016\tJSHorwitz\tCompound -0.128 Negative 0.12 Neutral 0.88 Positive 0.0  \t144\t.%40ApacheSpark+Makers+Build+contest+showcasing+cutting+edge+applications.+%23DataFirst+%40IBM+%40ritika_gunnar++https%3A%2F%2Ft.co%2Fx4n6n5fcUl\nThu Sep 29 23:14:38 +0000 2016\tDesignSoftware4\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t193\t%23BigData+%23IoT+%23M2M+%23RTC+%23Java+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2FEfaesPS6tx+SparkCognition+%23IoT+%23M2M+%23ML+%E2%80%A6\nThu Sep 29 23:14:38 +0000 2016\tDesignSoftware4\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t194\t%23BigData+%23IoT+%23M2M+%23RTC+%23Java+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2FEfaesPS6tx+%23BigData+%23IoT%E2%80%A6+https%3A%2F%2Ft.co%2FmIqgnXrO8N\nThu Sep 29 23:14:32 +0000 2016\tnatureaffect\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t190\tRT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6\nThu Sep 29 23:14:31 +0000 2016\twebjframework\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t190\tRT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6\nThu Sep 29 23:14:21 +0000 2016\tChaseMcMichael\tCompound 0.3182 Negative 0.0 Neutral 0.859 Positive 0.141  \t174\tRT+%40infinigraph%3A+LIVE+7%3A00+PST+Tonight+for+Hacking+Video+via+%23deeplearning+a+%23MachineLearning+solution+%40+https%3A%2F%2Ft.co%2F0OrQG2HxQk+https%3A%2F%2Ft.%E2%80%A6\nThu Sep 29 23:14:06 +0000 2016\tSYSCONmedia\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t190\tRT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6\nThu Sep 29 23:14:05 +0000 2016\tANDRODYN\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t190\tRT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6\nThu Sep 29 23:14:04 +0000 2016\tTesting_Pro4u\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t191\t%23BigData+%23DevOps+%23DataCenter+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2F76YRTBZttI+SparkCognition+%23IoT+%23M2M+%23ML+%23%E2%80%A6\nThu Sep 29 23:14:04 +0000 2016\tTesting_Pro4u\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t190\t%23BigData+%23DevOps+%23DataCenter+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2F76YRTBZttI+%23BigData+%23IoT+%E2%80%A6+https%3A%2F%2Ft.co%2FRDF8Gt1R7u\nThu Sep 29 23:14:02 +0000 2016\tSYSCONmedia\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t196\tRT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6\nThu Sep 29 23:13:56 +0000 2016\tmatt_cassie\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t160\tRT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6\nThu Sep 29 23:13:49 +0000 2016\tThingsExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t190\tRT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6\nThu Sep 29 23:13:46 +0000 2016\tThingsExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t196\tRT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6\nThu Sep 29 23:13:44 +0000 2016\tdanielcantorna\tCompound 0.5574 Negative 0.0 Neutral 0.816 Positive 0.184  \t161\tRT+DataScienceDojo%3A+Fantastic+blog+on+the+various+technologies+that+can+be+developed+using+%23AI.+https%3A%2F%2Ft.co%2FyXGklYpdIs+%23machinelearning+G%E2%80%A6\nThu Sep 29 23:13:36 +0000 2016\tBigDataExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t190\tRT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6\nThu Sep 29 23:13:32 +0000 2016\tBigDataExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t196\tRT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6\nThu Sep 29 23:13:25 +0000 2016\t1_nate_1\tCompound 0.8225 Negative 0.0 Neutral 0.714 Positive 0.286  \t137\tGreat+to+cap+off++%23StrataHadoop+conference+with+fascinating+session+on+how+AI+will+reshape+economy+sooner+than+we+think+by+%40dbeyer123\nThu Sep 29 23:13:21 +0000 2016\tsunnyholt\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t158\tHere%27s+story%2Fpic+of+%40NicParnell+and+Strata%2C+his+sliced+materials+for+tables%2Fwalls+https%3A%2F%2Ft.co%2FCdMZBpi05x+see+%40tent_london+during+%40L_D_F\nThu Sep 29 23:13:18 +0000 2016\tITCrowdsource\tCompound 0.743 Negative 0.0 Neutral 0.704 Positive 0.296  \t162\tRT+%40BroadPointGroup%3A+Senior+DevOps+Engineer+excellent+comp%2C+benefits%2C+culture+based+north+Lake+Union%2FFremont+Seattle+%23ai+%23machinelearning+h%E2%80%A6\nThu Sep 29 23:13:16 +0000 2016\titknowingness\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t190\tRT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6\nThu Sep 29 23:13:15 +0000 2016\tCloudExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t189\tCognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing%E2%80%A6+https%3A%2F%2Ft.co%2Fmmekz4l9Fx\nThu Sep 29 23:13:15 +0000 2016\tmynaturepics\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \t129\tCliff+along+the+Oregon+coast+clearly+showing+dozens+of+layers+of+rock+strata.++%23Oregon+%23coast+https%3A%2F%2Ft.co%2FO0N7yIT1q1\nThu Sep 29 23:13:14 +0000 2016\tOregonPhotos\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \t129\tCliff+along+the+Oregon+coast+clearly+showing+dozens+of+layers+of+rock+strata.++%23Oregon+%23coast+https%3A%2F%2Ft.co%2F9vSWFQ4QKS\nThu Sep 29 23:12:59 +0000 2016\tNEICS_Info\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t129\tVendors+Pile+on+%23BigData+News+at+%23Strata+-+Enterprise+Apps+Today+%23Analytics+%23DataAnalysis+https%3A%2F%2Ft.co%2FYlNEQOoyFm\nThu Sep 29 23:12:56 +0000 2016\tjennyzenner\tCompound 0.743 Negative 0.0 Neutral 0.704 Positive 0.296  \t162\tRT+%40BroadPointGroup%3A+Senior+DevOps+Engineer+excellent+comp%2C+benefits%2C+culture+based+north+Lake+Union%2FFremont+Seattle+%23ai+%23machinelearning+h%E2%80%A6\nThu Sep 29 23:12:37 +0000 2016\tBroadPointGroup\tCompound 0.743 Negative 0.0 Neutral 0.674 Positive 0.326  \t158\tSenior+DevOps+Engineer+excellent+comp%2C+benefits%2C+culture+based+north+Lake+Union%2FFremont+Seattle+%23ai+%23machinelearning+https%3A%2F%2Ft.co%2FBagg8FNgzO\nThu Sep 29 23:12:23 +0000 2016\tCivicReactor\tCompound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  \t219\tRT+%40AndySchaul%3A+A+beautiful+portrayal+of+big+data%2C+graphs+%26amp%3B+%F0%9F%8C%BD%F0%9F%8C%BD%F0%9F%8C%BD+genetics+from+%40TimWilliate+%26amp%3B+%40emileifrem+at+%23StrataHadoop%3A+https%3A%2F%2Ft.co%2FdIv%E2%80%A6\nThu Sep 29 23:12:12 +0000 2016\tES_Informatica\tCompound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  \t162\tRT+%40parikhash%3A+what+it+takes+to+succeed+with+%23datalake+-+think+u+can+do+it+with++point+solutions+%2F+code+generators%3F+%40Informatica+%23StrataHad%E2%80%A6\nThu Sep 29 23:11:31 +0000 2016\tparikhash\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40INFA_BD%3A+Tom+Reilly+and+James+Powell+discuss+how+Nielsen+partners+with+%40cloudera++on+%23Hadoop+in+the+%23cloud++at+%23StrataHadoop+https%3A%2F%2Ft.%E2%80%A6\nThu Sep 29 23:11:26 +0000 2016\tkahverengipixel\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40wiwer77%3A+The+%22%23Python+%23MachineLearning%22+%23book+code+repository+and+info+resource%0Ahttps%3A%2F%2Ft.co%2FlcNEAEBs5c%0A%23DataScience+%23BigData+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 23:11:22 +0000 2016\tgaliyawarrier\tCompound 0.784 Negative 0.0 Neutral 0.504 Positive 0.496  \t65\tHad+an+awesome+time+at+%23StrataHadoop%21+Thank+you+%40strataconf\nThu Sep 29 23:11:14 +0000 2016\tbhart214\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t117\tTwo+Cultures%3A+Machine+Learning+and+Statistics+https%3A%2F%2Ft.co%2FM4X1JYOvcE%0A%0A%23MachineLearning+%23statistics\nThu Sep 29 23:11:10 +0000 2016\tGilPress\tCompound 0.5574 Negative 0.0 Neutral 0.816 Positive 0.184  \t166\tRT+%40DataScienceDojo%3A+Fantastic+blog+on+the+various+technologies+that+can+be+developed+using+%23AI.+https%3A%2F%2Ft.co%2FeawzsFegGy+%23machinelearning+%40%E2%80%A6\nThu Sep 29 23:11:09 +0000 2016\tdon_woerner\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t148\tRT+%40SAPInMemory%3A+Business+users+can+now+apply+agile+data+preparation+reducing+the+workload+on+IT+%23StrataHadoop+https%3A%2F%2Ft.co%2FDdOq6R68Ow\nThu Sep 29 23:11:05 +0000 2016\tdustcloud_io\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40Zementis%3A+ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23Azure+%23cloud+https%3A%2F%2Ft.co%2FDjtm0bq9zB+%23%E2%80%A6\nThu Sep 29 23:10:54 +0000 2016\tadrianco\tCompound -0.3182 Negative 0.15 Neutral 0.85 Positive 0.0  \t150\tRT+%40jtrnyc%3A+Malware+families+linked+by+their+faulty+compiler+fingerprints+%23datavis+%23StrataHadoop+%40Graphistry+https%3A%2F%2Ft.co%2F5LzIQYUNkp\nThu Sep 29 23:10:39 +0000 2016\tSwatiTomar03\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t170\tRT+%40Informatica%3A+%223+keys+to+%40Informatica+success%3A+Early+innovation+in+%23cloud%2C+Ease-of-Use+and+Agility.%22+-+%40amit_walia+%23StrataHadoop+%23theCUB%E2%80%A6\nThu Sep 29 23:10:21 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2016\tfangjin\tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \t164\tRT+%40huitseeker%3A+Streaming+data+ingestion+through+special+purpose+RealTime+nodes+in+Druid%2C+explained+by+%40fangjin+at+%40strataconf+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 23:09:37 +0000 2016\tmsouthern9\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6\nThu Sep 29 23:09:31 +0000 2016\t_steve3_\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40wiwer77%3A+The+%22%23Python+%23MachineLearning%22+%23book+code+repository+and+info+resource%0Ahttps%3A%2F%2Ft.co%2FlcNEAEBs5c%0A%23DataScience+%23BigData+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 23:09:22 +0000 2016\tbarrydauber\tCompound 0.6884 Negative 0.0 Neutral 0.562 Positive 0.438  \t120\tRT+%40ClouderaEvents%3A+Amazing+%23StrataHadoop%21%21%21+%40cloudera+%23workhardplayhard+https%3A%2F%2Ft.co%2FGTo5d9sy7i\nThu Sep 29 23:09:21 +0000 2016\tRequety\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t158\t%23BigDataAnalytics+Data+Analyst+%28Hive%2C+Hadoop%2C+Big+Data%29%3A+Determine+if+the+analytics+use+cases+tha...+https%3A%2F%2Ft.co%2F3jS8UU7EHs+%23HealthData\nThu Sep 29 23:09:21 +0000 2016\tITCrowdsource\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40wiwer77%3A+The+%22%23Python+%23MachineLearning%22+%23book+code+repository+and+info+resource%0Ahttps%3A%2F%2Ft.co%2FlcNEAEBs5c%0A%23DataScience+%23BigData+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 23:09:21 +0000 2016\tVVagias\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40Requety%3A+%23BigDataAnalytics+Data+Analyst+%28Hive%2C+Hadoop%2C+Big+Data%29%3A+Determine+if+the+analytics+use+cases+tha...+https%3A%2F%2Ft.co%2F3jS8UU7EHs+%23%E2%80%A6\nThu Sep 29 23:09:03 +0000 2016\tbuildingAI\tCompound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  \t174\tRT+%40ptiongson%3A+The+latest+%23ArtificialIntelligence+Today%21+https%3A%2F%2Ft.co%2FZ6FbaAErxU+Thanks+to+%40McKennaMar+%40Dsdinter+%40jennannreed+%23ai+%23machinel%E2%80%A6\nThu Sep 29 23:08:56 +0000 2016\tgaliyawarrier\tCompound 0.784 Negative 0.0 Neutral 0.504 Positive 0.496  \t67\tHad+an+awesome+time+at+%23StrataHadoop%21+Thank+you+%40OReillyMedia\nThu Sep 29 23:08:47 +0000 2016\twiwer77\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40wiwer77%3A+The+%22%23Python+%23MachineLearning%22+%23book+code+repository+and+info+resource%0Ahttps%3A%2F%2Ft.co%2FlcNEAEBs5c%0A%23DataScience+%23BigData+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 23:08:21 +0000 2016\tptiongson\tCompound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  \t153\tThe+latest+%23ArtificialIntelligence+Today%21+https%3A%2F%2Ft.co%2FZ6FbaAErxU+Thanks+to+%40McKennaMar+%40Dsdinter+%40jennannreed+%23ai+%23machinelearning\nThu Sep 29 23:08:07 +0000 2016\tRoryBramwell\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%40pythianpartners%3A+On+now+%40GCPBigData+Chad+Jennings+w%2F+%40NYTimes+taking+the+stage+-+big+news+about+BigQuery+%23StrataHadoop+https%3A%2F%2Ft.co%2FcuU%E2%80%A6\nThu Sep 29 23:08:01 +0000 2016\tinterUNFAO\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40MikeTamir%3A+Quantum+Machine+Learning+-+Microsoft+Research+https%3A%2F%2Ft.co%2Fv9lzxJGDfB+%23MachineLearning+%23AI+%23DataScience+https%3A%2F%2Ft.co%2FnNcE0Fi%E2%80%A6\nThu Sep 29 23:07:49 +0000 2016\titknowingness\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t196\tRT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6\nThu Sep 29 23:07:48 +0000 2016\tCloudExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\t%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23CognitiveComputing\nThu Sep 29 23:07:36 +0000 2016\tLee44\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t150\tRT+%40noyesk%3A+White+House+to+data+scientists%3A+We+need+you+https%3A%2F%2Ft.co%2FfH13FrlhIy+via+%40pcworld+%23datascience+%23bigdata+%23stratahadoop\nThu Sep 29 23:07:26 +0000 2016\tVVagias\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t117\tRT+%40HKotadia%3A+Operationalizing+Hadoop%3A+Evolving+modern+application+architecture+https%3A%2F%2Ft.co%2FKR2HkrmO79\nThu Sep 29 23:07:26 +0000 2016\tHKotadia\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t99\tOperationalizing+Hadoop%3A+Evolving+modern+application+architecture+https%3A%2F%2Ft.co%2FKR2HkrmO79\nThu Sep 29 23:07:20 +0000 2016\tMarkZhangzhi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t42\tcome+on%21+https%3A%2F%2Ft.co%2FPjjczQabX2\nThu Sep 29 23:07:18 +0000 2016\tStrata_Plus\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\tBarangaroo+penthouse+to+test+%23Sydney+apartment+price.%0A%0A%23realestate+%23property+%23Strata+https%3A%2F%2Ft.co%2FQ0lkwx7ZhQ+https%3A%2F%2Ft.co%2FNuAhqUtnvy\nThu Sep 29 23:07:14 +0000 2016\tnetsecu\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t133\tENTERPRISEAPPSTODAY%3A+Vendors+Pile+on+Big+Data+News+at+Strata+-+Enterprise+Apps+Today%2C+https%3A%2F%2Ft.co%2FEMbZTneJy9+%23security\nThu Sep 29 23:07:03 +0000 2016\tRobRe62\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t170\tRT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6\nThu Sep 29 23:06:56 +0000 2016\tsaptak\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t175\tRT+4everfusiongal%3A+TBT+1+yr+bday+of+Hortonworks+DataFlow%3A+Let%E2%80%99s+lookback+further+%E2%80%93+why+it+was+invented+in+the+1st+%E2%80%A6+https%3A%2F%2Ft.co%2F7vpqyH6YZX\nThu Sep 29 23:06:51 +0000 2016\twiwer77\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t139\tRT+%40wiwer77%3A+%E2%80%9C%23MachineLearning+is+Fun%21%E2%80%9D+%0Aby+%40ageitgey+https%3A%2F%2Ft.co%2F60AWTAGeX5+%23BigData+%23DataScience\nThu Sep 29 23:06:03 +0000 2016\tCormacNolan86\tCompound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  \t162\tRT+%40parikhash%3A+what+it+takes+to+succeed+with+%23datalake+-+think+u+can+do+it+with++point+solutions+%2F+code+generators%3F+%40Informatica+%23StrataHad%E2%80%A6\nThu Sep 29 23:06:02 +0000 2016\tInsightBrief\tCompound -0.4588 Negative 0.2 Neutral 0.8 Positive 0.0  \t171\tCheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FMH580dfPyb+via+%40forbes+%40BernardMarr%E2%80%A6+https%3A%2F%2Ft.co%2FQikxtJdxKI\nThu Sep 29 23:05:49 +0000 2016\tRobRe62\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40KirkDBorne%3A+Build+a+basic+recommender+engine+using+R%3A+https%3A%2F%2Ft.co%2F9z5yfPjchh+%23abdsc+%23BigData+%23DataScience+%23RecSys+%23Rstats+%23MachineLear%E2%80%A6\nThu Sep 29 23:05:48 +0000 2016\tRobRe62\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40KirkDBorne%3A+Collaborative+Filtering+Recommender+Systems%3A+Item-Based+approach%0Ahttps%3A%2F%2Ft.co%2F5ogCxStc7O+%23abdsc+%23DataScience+%23RecSys+%23Machi%E2%80%A6\nThu Sep 29 23:05:47 +0000 2016\tRobRe62\tCompound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  \t180\tRT+%40KirkDBorne%3A+%23Chatbots+and+Service+Industry+%E2%80%93+Towards+a+better+customer+experience%3A+https%3A%2F%2Ft.co%2FzAebIMuqWM+%23CX+%23CEM+%23MachineLearning+%23A%E2%80%A6\nThu Sep 29 23:05:36 +0000 2016\tRobRe62\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40MikeTamir%3A+Quantum+Machine+Learning+-+Microsoft+Research+https%3A%2F%2Ft.co%2Fv9lzxJGDfB+%23MachineLearning+%23AI+%23DataScience+https%3A%2F%2Ft.co%2FnNcE0Fi%E2%80%A6\nThu Sep 29 23:05:35 +0000 2016\tRobRe62\tCompound -0.3612 Negative 0.217 Neutral 0.783 Positive 0.0  \t149\tAdversarial+machine+learning+https%3A%2F%2Ft.co%2FFyncU2DZoQ+%23MachineLearning+%23AI+%23DataScience+https%3A%2F%2Ft.co%2FYDHiSW7d8T+via+%40MikeTamir\nThu Sep 29 23:05:27 +0000 2016\tSalemaRice\tCompound 0.8481 Negative 0.0 Neutral 0.594 Positive 0.406  \t122\tAwesome+week+with+some+of+our+great+%40Allegis_Group+Big+Data+team...+%23StrataHadoop+2016+https%3A%2F%2Ft.co%2FKwoT7BgpIT\nThu Sep 29 23:05:11 +0000 2016\tfarashod\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t150\tIntel%27s+Investment+In+FPGAs+To+Enable+Reconfigurable+Data+Centers+And+AI+Processing+Of+The+Future+https%3A%2F%2Ft.co%2FHuXCTrtmxY+%23MachineLearning\nThu Sep 29 23:05:11 +0000 2016\tfreyduni\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t150\tIntel%27s+Investment+In+FPGAs+To+Enable+Reconfigurable+Data+Centers+And+AI+Processing+Of+The+Future+https%3A%2F%2Ft.co%2F5Czva56ILS+%23MachineLearning\nThu Sep 29 23:05:01 +0000 2016\tSharePointSwiss\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t126\tCloud+Computing+Services+Providers+https%3A%2F%2Ft.co%2FHyhXccXhlN+%23MachineLearning+%23Azure+https%3A%2F%2Ft.co%2FF6HiBpVmkA\nThu Sep 29 23:04:52 +0000 2016\tChaseMcMichael\tCompound 0.3182 Negative 0.0 Neutral 0.839 Positive 0.161  \t159\tLIVE+7%3A00+PST+Tonight+for+Hacking+Video+via+%23deeplearning+a+%23MachineLearning+solution+%40+https%3A%2F%2Ft.co%2FCgsmbwkSHj+https%3A%2F%2Ft.co%2FVEgTA8T46f\nThu Sep 29 23:04:51 +0000 2016\tDhruvaKumar\tCompound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  \t180\tRT+%40KirkDBorne%3A+%23Chatbots+and+Service+Industry+%E2%80%93+Towards+a+better+customer+experience%3A+https%3A%2F%2Ft.co%2FzAebIMuqWM+%23CX+%23CEM+%23MachineLearning+%23A%E2%80%A6\nThu Sep 29 23:04:44 +0000 2016\tcasual_chris\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \t168\tRT+%40strataconf%3A+Attending+%23StrataHadoop+NYC%3F+Prepare+with+free+Marketing+Data+Lake+Book+by+%40FranzAman+https%3A%2F%2Ft.co%2FQWEK0HkSIP+%23bigdata+http%E2%80%A6\nThu Sep 29 23:04:36 +0000 2016\twiwer77\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t151\tRT+%40wiwer77%3A+This+week+in+%23AI+%26amp%3B+ML+%26amp%3B+%23Hacking+-+%2331+of+2016%0Ahttps%3A%2F%2Ft.co%2FSMVCKAnXpu%0A%23MachineLearning+%23BigData\nThu Sep 29 23:04:06 +0000 2016\tvernonemrit\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t148\tRT+analyticbridge%3A+RT+analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+%E2%80%A6+https%3A%2F%2Ft.co%2FKYgi2svPjE\nThu Sep 29 23:04:05 +0000 2016\tinfinigraph\tCompound 0.3182 Negative 0.0 Neutral 0.839 Positive 0.161  \t159\tLIVE+7%3A00+PST+Tonight+for+Hacking+Video+via+%23deeplearning+a+%23MachineLearning+solution+%40+https%3A%2F%2Ft.co%2F0OrQG2HxQk+https%3A%2F%2Ft.co%2F2jDwdulku2\nThu Sep 29 23:04:00 +0000 2016\tmikzorian\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 23:03:58 +0000 2016\tWaynePullam\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t155\tRT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos\nThu Sep 29 23:03:56 +0000 2016\tmachinelearnbot\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t173\tRT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+I%29+https%3A%2F%2Ft.co%2F8qcag7GGMF+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6\nThu Sep 29 23:03:54 +0000 2016\trenato_umeton\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t110\tRT+%40kdnuggets%3A+%23MachineLearning+%23Trends+and+the+Future+of+%23AI+%23KDN+https%3A%2F%2Ft.co%2FgF1jd1oj6z\nThu Sep 29 23:03:53 +0000 2016\tsebarmano\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%40vijilent%3A+What+should+you+know+about+%23MachineLearning%3F+How+can+it+affect+%23LeadQualification+and+%23LeadScoring%3F+Read+more+here+https%3A%2F%2Ft.%E2%80%A6\nThu Sep 29 23:03:47 +0000 2016\tDBCorey\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \t134\t%27Experiences+and+Story%27%3A+PRH%27s+Dan+Franklin+on+%27Strata%27+of+Innovation+%23writing+%23author+https%3A%2F%2Ft.co%2FL0IYo5nHcr\nThu Sep 29 23:03:33 +0000 2016\twiwer77\tCompound -0.296 Negative 0.306 Neutral 0.694 Positive 0.0  \t129\tRT+%40wiwer77%3A+What%E2%80%99s+Missing+From+%23MachineLearning%0Ahttps%3A%2F%2Ft.co%2FzF0iNEPeo2+https%3A%2F%2Ft.co%2FYwDOE2QHLy\nThu Sep 29 23:03:28 +0000 2016\twiwer77\tCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \t162\tRT+%40wiwer77%3A+Improve+Your+Content+Marketing+With+%23MachineLearning+Tools+%0Ahttps%3A%2F%2Ft.co%2FX0ebQiG14W+via+%40jeffbullas+https%3A%2F%2Ft.co%2FwxBaTP30ED\nThu Sep 29 23:03:26 +0000 2016\tpeeyush_ag\tCompound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  \t143\tRT+%40INFA_BD%3A+Tips+for+a+winning+%23BigData+proof+of+concept+https%3A%2F%2Ft.co%2F5YRrdWSHTk+%23StrataHadoop+https%3A%2F%2Ft.co%2FmQJRKsUADq\nThu Sep 29 23:03:26 +0000 2016\tjakebenn\tCompound 0.2263 Negative 0.0 Neutral 0.899 Positive 0.101  \t152\tApache+Spot+is+a+new+open+source+project+for+cybersecurity.+Uses+Hadoop+for+%23BigData+and+Spark+for+%23MachineLearning.+https%3A%2F%2Ft.co%2FR1E6KLZ6L4\nThu Sep 29 23:03:26 +0000 2016\tdeepika_nov9\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t155\tRT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos\nThu Sep 29 23:03:14 +0000 2016\tmobiahmad\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \t154\tRT+%40cutting%3A+%22Every+data+science+training+program+must+include+ethics+%26amp%3B+security.%22+%40DJ44%2C+U.S.+Chief+Data+Scientist+at+%23StrataHadoop\nThu Sep 29 23:03:09 +0000 2016\tBobYelland\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t170\tRT+%40BernardMarr%3A+%23BigData%2C+%23AI+and+%23MachineLearning+Will+Disrupt+Everything%2C+Here+Are+3+Industries+That+Will+Be+Transformed+https%3A%2F%2Ft.co%2FAb%E2%80%A6\nThu Sep 29 23:02:57 +0000 2016\twiwer77\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t157\tRT+%40wiwer77%3A+How+%23MachineLearning+is+redefining+%23SEO+and+%23GoogleSearch%21%3A+%0Ahttps%3A%2F%2Ft.co%2F32V6ZAkOSQ+-+via%3A%40think_bigdata+%23BigData\nThu Sep 29 23:02:49 +0000 2016\tnojdreh\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t110\tLimelight+Networks+is+hiring%21++Apply+now+for+the+position+of+Hadoop+Engineer+https%3A%2F%2Ft.co%2FhKywGBc6K5\nThu Sep 29 23:02:24 +0000 2016\tBereanoPartners\tCompound 0.4767 Negative 0.0 Neutral 0.819 Positive 0.181  \t152\tRT+%40AkvelonInc%3A+Preparing+for+our+posthuman+future+of+Artificial+Intelligence.+%23AI+%23BI+%23Machinelearning+%23IoT+https%3A%2F%2Ft.co%2FHg7cSy3y1x\nThu Sep 29 23:02:07 +0000 2016\tGTBlackEagle\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t152\tRT+%40analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+https%3A%2F%2Ft.co%2FnqwdWYVC4r+https%3A%2F%2Ft.co%2F4WY7mFSYTT\nThu Sep 29 23:02:04 +0000 2016\tkdnuggets\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t91\t%23MachineLearning+%23Trends+and+the+Future+of+%23AI+%23KDN+https%3A%2F%2Ft.co%2FgF1jd1oj6z\nThu Sep 29 23:01:52 +0000 2016\tDHuffmanKerins\tCompound 0.0772 Negative 0.0 Neutral 0.86 Positive 0.14  \t164\tWant+a+ride+in+an+Oracle+Tesla%3F+%23MSIgnite%2C+%23wdayrising+%26amp%3B+%23StrataHadoop+attendees%3A+Show+your+badge+to...%E2%80%A6+https%3A%2F%2Ft.co%2FBGOwHcHlAk\nThu Sep 29 23:01:45 +0000 2016\tshakamunyi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t115\tRT+%40topiclyapis%3A+4+new+%23apis+posts+about+%23machinelearning+%23husbystockholm+https%3A%2F%2Ft.co%2F9x7m6KBr2y\nThu Sep 29 23:01:45 +0000 2016\tajsondev\tCompound 0.6115 Negative 0.0 Neutral 0.778 Positive 0.222  \t137\tMost+excellent+that%27s+the+train+journey+sorted+for+all+next+week+%23dev+%23MachineLearning+%23education+https%3A%2F%2Ft.co%2FGvWSjKJIPB\nThu Sep 29 23:01:44 +0000 2016\tmpyllan\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t149\tA+%23NeuralNetwork+for+Machine+Translation%2C+at+Production+Scale+%7C+https%3A%2F%2Ft.co%2F6nbKROBHB5+%23NLP+%23MachineLearning+via+%40googleresearch\nThu Sep 29 23:01:38 +0000 2016\tvikasjee\tCompound 0.6369 Negative 0.0 Neutral 0.724 Positive 0.276  \t159\tmachinelearnbot%3A+RT+kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2FW9MnHtnV2y\nThu Sep 29 23:01:18 +0000 2016\tStore_Club_Fan\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t156\t%23Autograph+%23Stars+-+2016+Topps+Strata+Trea+Turner+auto+autograph+rookie+card+%2F125+Nationals%3A++%2422.9...+https%3A%2F%2Ft.co%2F4lFox7Us9q+%23Deals_US\nThu Sep 29 23:01:17 +0000 2016\tINFA_BD\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t102\tDeliver+Real-Time+Information+at+the+Speed+of+Business+https%3A%2F%2Ft.co%2FYZlkyR95Af+%23StrataHadoop\nThu Sep 29 23:01:16 +0000 2016\tTowerBodyCorp\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t131\tWhat+happens+if+a+general+meeting+motion+is+out+of+order%3F%0AFeel+free+to+ask+questions+on+Strata.+https%3A%2F%2Ft.co%2FAz5oOvwTNp\nThu Sep 29 23:01:13 +0000 2016\tanalyticbridge\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t152\tRT+%40analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+https%3A%2F%2Ft.co%2FnqwdWYVC4r+https%3A%2F%2Ft.co%2F4WY7mFSYTT\nThu Sep 29 23:01:13 +0000 2016\tdustcloud_io\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t172\tRT+%40Zementis%3A+ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23AWS+%23cloud+https%3A%2F%2Ft.co%2FguvcomffnP+%23sh%E2%80%A6\nThu Sep 29 23:01:07 +0000 2016\tLookUpStrata\tCompound -0.7579 Negative 0.52 Neutral 0.48 Positive 0.0  \t133\tVIC%3A+%23Watergate%3A+Battle+is+over%2C+war+goes+on%0A%40Docklands_News+%23ShortTermLets+%23Strata%0Ahttps%3A%2F%2Ft.co%2FH9cx3r2O2A\nThu Sep 29 23:01:04 +0000 2016\tclickmediauk\tCompound 0.128 Negative 0.0 Neutral 0.815 Positive 0.185  \t132\tRT+%40BigDataGear%3A+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2FiO3hovwI3E+%23BigData+%23Analytics+%23bigdata\nThu Sep 29 23:01:04 +0000 2016\tVVagias\tCompound 0.128 Negative 0.0 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22:52:12 +0000 2016\tNarayanGupta\tCompound 0.4926 Negative 0.0 Neutral 0.849 Positive 0.151  \t168\tRT+%40DJ44%3A+Good+morning+%40strataconf+%21+We%27ll+be+live+shortly+talking+about+the+the+data+landscape+from+the+%40WhiteHouse+https%3A%2F%2Ft.co%2F4UqrvjKne%E2%80%A6\nThu Sep 29 22:52:07 +0000 2016\tFintanINFA\tCompound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  \t161\tRT+%40parikhash%3A+yes+even+the+usher+knows+that+%23datalake+is+the+biggest+thing+at+%23StrataHadoop+%23strataconf+-+%40Informatica+industry%27s+1st+out%E2%80%A6\nThu Sep 29 22:51:59 +0000 2016\t__iot__\tCompound 0.4871 Negative 0.0 Neutral 0.835 Positive 0.165  \t176\tRT+%40FreedomFireCom%3A+How+Big+Is+The+Opportunity+For+The+Industrial+%23InternetOfThings%3F+%7BVIDEO%7D+https%3A%2F%2Ft.co%2FOYJRULFTd8+%23IoT+%23IIoT+%23DevOps+%23Ma%E2%80%A6\nThu Sep 29 22:51:50 +0000 2016\ttopiclyapis\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t108\t3+new+%23apis+posts+about+%23internationalhumanitarianlaw+%23machinelearning+https%3A%2F%2Ft.co%2F77RL7iARxK\nThu Sep 29 22:51:48 +0000 2016\trenato_umeton\tCompound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  \t182\tRT+%40gcosma1%3A+Industries%2C+Cortana+Intelligence%2C++Big+Data+%26amp%3B+Machine+Learning+in+the+Cloud%0A+https%3A%2F%2Ft.co%2FytFHujSZqd+%23DataScience+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 22:51:38 +0000 2016\tlheritier\tCompound -0.296 Negative 0.115 Neutral 0.885 Positive 0.0  \t142\tThere+is+no+database+that+scales+enough+to+store+all+the+database+names+I+heard+at+%23StrataHadoop+%F0%9F%A4%92%23BigData+%23AlphaIsTheNewBeta\nThu Sep 29 22:51:05 +0000 2016\tvukovinski\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:50:49 +0000 2016\tDavid__Howard\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t130\t%23BigData+Dispatch+is+out%21+https%3A%2F%2Ft.co%2F8LjW3iv09w+%23BigData+stories+via+%40strataconf+%40N3N_IoT+%23bigdata+%23opines\nThu Sep 29 22:50:40 +0000 2016\ttopiclyapis\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t94\t4+new+%23apis+posts+about+%23machinelearning+%23husbystockholm+https%3A%2F%2Ft.co%2F9x7m6KBr2y\nThu Sep 29 22:50:31 +0000 2016\tdev_courses\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t146\tGet+up+to+85%25+off+all+Udemy+online+courses+today%2C+inc.+%23hadoop+%26amp%3B+%23java+courses+--+use+https%3A%2F%2Ft.co%2Fdb2zTI3sZj+for+discount\nThu Sep 29 22:50:26 +0000 2016\tgcosma1\tCompound 0.4767 Negative 0.0 Neutral 0.617 Positive 0.383  \t169\tIndustries%2C+Cortana+Intelligence%2C++Big+Data+%26amp%3B+Machine+Learning+in+the+Cloud%0A+https%3A%2F%2Ft.co%2FytFHujSZqd+%23DataScience+https%3A%2F%2Ft.co%2FHmb4izu80p\nThu Sep 29 22:50:26 +0000 2016\tflacomenoide\tCompound 0.34 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\t93\tExciting+innovations+and+nice+team+reunion%21+%23stratahadoop+https%3A%2F%2Ft.co%2FwiuKposItd\nThu Sep 29 22:49:45 +0000 2016\ttopiclybigdata\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t143\tRT+%40BernardMarr%3A+How+%23MachineLearning%2C+%23BigData+And+%23AI+Are+Changing+%23Healthcare+Forever+-+Forbes+https%3A%2F%2Ft.co%2FoA5mhk9FDN\nThu Sep 29 22:49:41 +0000 2016\tshakamunyi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t120\tRT+%40freyduni%3A+Microsoft+sharpens+AI+focus+with+new+research+group+https%3A%2F%2Ft.co%2FFmFb7b68cq+%23machinelearning\nThu Sep 29 22:49:41 +0000 2016\tshakamunyi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t120\tRT+%40freyduni%3A+Microsoft+sharpens+AI+focus+with+new+research+group+https%3A%2F%2Ft.co%2FgcZiFcQeR7+%23machinelearning\nThu Sep 29 22:49:39 +0000 2016\tSardaNimitt\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t174\tRT+%40INFA_BD%3A+Answer+Marketing%27s+simplest+questions+with+rock-hard+data+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2F3NgJ3N5y%E2%80%A6\nThu Sep 29 22:49:39 +0000 2016\tSardaNimitt\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t155\tRT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos\nThu Sep 29 22:49:39 +0000 2016\tSardaNimitt\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t172\tRT+%40Informatica%3A+VIDEO%3A+%40RonenSchwartz+on+%23theCUBE+shares+ways+to+%22make+data+work+in+real-world+use+cases%22+https%3A%2F%2Ft.co%2FQ57jNNRINL+%40stratac%E2%80%A6\nThu Sep 29 22:49:39 +0000 2016\tSardaNimitt\tCompound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  \t143\tRT+%40INFA_BD%3A+Tips+for+a+winning+%23BigData+proof+of+concept+https%3A%2F%2Ft.co%2F5YRrdWSHTk+%23StrataHadoop+https%3A%2F%2Ft.co%2FmQJRKsUADq\nThu Sep 29 22:49:28 +0000 2016\tpeeyush_ag\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40hornpolish+talks+about+how+SAS+is+%22more+open+than+you+might+think%22+++%23opensource+%23bigdata+%23hadoop+http%E2%80%A6\nThu Sep 29 22:49:00 +0000 2016\tphilipanast\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t143\tRT+%40BernardMarr%3A+How+%23MachineLearning%2C+%23BigData+And+%23AI+Are+Changing+%23Healthcare+Forever+-+Forbes+https%3A%2F%2Ft.co%2FoA5mhk9FDN\nThu Sep 29 22:48:58 +0000 2016\tmletaillandier\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t170\tRT+%40Informatica%3A+%223+keys+to+%40Informatica+success%3A+Early+innovation+in+%23cloud%2C+Ease-of-Use+and+Agility.%22+-+%40amit_walia+%23StrataHadoop+%23theCUB%E2%80%A6\nThu Sep 29 22:48:25 +0000 2016\tgunjanthesystem\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40cogmission%3A+What+is+Hierarchical+Temporal+Memory%3F+%0ABaranski+%28%40Numenta+VP+of+Eng%29+Interview%21%0Ahttps%3A%2F%2Ft.co%2FbGcAWxYqwO%0A%40Events_AI+%23machine%E2%80%A6\nThu Sep 29 22:48:15 +0000 2016\tMadenza_\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t172\tRT+%40abunchofdata%3A+A+Randomized+Tensor+Singular+Value+Decomposition+...+-+https%3A%2F%2Ft.co%2Frcb0xWY4cV+%23machinelearning+%23IoT+%23AI+%23BigData+https%3A%2F%E2%80%A6\nThu Sep 29 22:48:13 +0000 2016\tnancyrubin\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40MikeQuindazzi%3A+Rise+of+%23AI%3A+3+superhuman+breakthroughs+already+achieved+by+%23ArtificialIntelligence.+%7Bcompliments+of+%40nvidia%7D+%23deeplearn%E2%80%A6\nThu Sep 29 22:48:04 +0000 2016\tSheldonBlack4\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t155\tThe+propagate+speaking+of+hadoop+chip+in+corridor+chinese+2011+in+furtherance+of+encompass+with+shadow+classifying%E2%80%A6+https%3A%2F%2Ft.co%2FMLCkCFP3t2\nThu Sep 29 22:48:02 +0000 2016\tMoeFardoost\tCompound -0.1027 Negative 0.211 Neutral 0.602 Positive 0.187  \t138\t%22Artificial+Intelligence+%E2%80%93+But+Not+Programmed+to+Destroy+Us%22+https%3A%2F%2Ft.co%2F7FDCNk0QVq+on+%40LinkedIn+%23machinelearning\nThu Sep 29 22:47:38 +0000 2016\tWalesBuzz\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t172\tRT+%40abunchofdata%3A+A+Randomized+Tensor+Singular+Value+Decomposition+...+-+https%3A%2F%2Ft.co%2Frcb0xWY4cV+%23machinelearning+%23IoT+%23AI+%23BigData+https%3A%2F%E2%80%A6\nThu Sep 29 22:47:37 +0000 2016\trajrknec\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t172\tRT+%40Informatica%3A+VIDEO%3A+%40RonenSchwartz+on+%23theCUBE+shares+ways+to+%22make+data+work+in+real-world+use+cases%22+https%3A%2F%2Ft.co%2FQ57jNNRINL+%40stratac%E2%80%A6\nThu Sep 29 22:47:08 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\t162\tRT+%40alex_woodie%3A+An+idea+from+Microsoft%27s+%40josephsirosh++worth+considering%3A+being+a+%23Datadonor+like+being+an+organization+donor.+%23StrataHad%E2%80%A6\nThu Sep 29 22:46:35 +0000 2016\tSubhakaraM\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t156\tRT+%40INFA_BD%3A+%22Our+mission+is+to+make+%23data+simple+and+accessible+to+the+world.%22+-+%40robdthomas+at+%23StrataHadoop+https%3A%2F%2Ft.co%2F1SWSOxrEWR\nThu Sep 29 22:46:21 +0000 2016\tHAL_9000_AI\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t172\tRT+%40abunchofdata%3A+A+Randomized+Tensor+Singular+Value+Decomposition+...+-+https%3A%2F%2Ft.co%2Frcb0xWY4cV+%23machinelearning+%23IoT+%23AI+%23BigData+https%3A%2F%E2%80%A6\nThu Sep 29 22:45:53 +0000 2016\tabunchofdata\tCompound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  \t161\tA+Randomized+Tensor+Singular+Value+Decomposition+...+-+https%3A%2F%2Ft.co%2Frcb0xWY4cV+%23machinelearning+%23IoT+%23AI+%23BigData+https%3A%2F%2Ft.co%2FnRW4or5svH\nThu Sep 29 22:45:42 +0000 2016\tCreechRonald\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t149\t%40054durin+looking+at+strata%2C+bones%3F+What+about+the+ones+not+under+tons+of+rock%0AAsk+this%2C+why+has+not+one+skeletal+remain+not+been+C14+dated\nThu Sep 29 22:45:34 +0000 2016\tagoodric\tCompound 0.8481 Negative 0.0 Neutral 0.461 Positive 0.539  \t72\tLearned+a+lot%2C+met+some+great+people%2C+great+insights+%23StrataHadoop\nThu Sep 29 22:45:24 +0000 2016\tDBaker007\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t161\tDetecting+%23MoneyLaundering+with+Unsupervised+%23MachineLearning+%40DataScienceCtrl+https%3A%2F%2Ft.co%2FJocjk9dJy3+%23AML+%23ML+https%3A%2F%2Ft.co%2Fk9S4bxQLpS\nThu Sep 29 22:45:20 +0000 2016\tBereanoPartners\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t120\tRT+%40freyduni%3A+Microsoft+sharpens+AI+focus+with+new+research+group+https%3A%2F%2Ft.co%2FgcZiFcQeR7+%23machinelearning\nThu Sep 29 22:45:17 +0000 2016\tIBMSparkJock\tCompound 0.0 Negative 0.0 Neutral 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\t176\tRT+%40nikhilk%3A+Cloud+Machine+Learning%2C+TensorFlow-as-a-Service%2C+now+available%21+%23machinelearning+%23cloud+%23tensorflow+%23bigdata+%23google%0Ahttps%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:44:00 +0000 2016\tlisagualtieri\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t187\tRT+%40CaskData%3A+Find+out+how+to+quickly+get+%23value+from+%40hadoop+during+our+%23webinar+w%2F%40jgrayla+%26amp%3Bguest+speaker+%40mgualtieri+on+10%2F5%21+%C2%BB+https%3A%2F%2F%E2%80%A6\nThu Sep 29 22:43:58 +0000 2016\tBigDataBRA\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 22:43:54 +0000 2016\tgabrielpadillal\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t164\tRT+%40RelearnML%3A+Microsoft+Machine+Learning+%26amp%3B+Data+Science+Summit+2016+https%3A%2F%2Ft.co%2F2SLwYSzzm5++%23machinelearning+https%3A%2F%2Ft.co%2FChc1VsMiuw\nThu Sep 29 22:43:46 +0000 2016\tbinaryloom\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40FreedomFireCom%3A+The+Internet+Of+Things+Architecture+%26amp%3B+Protocols+Explained+%7BVIDEO%7D+https%3A%2F%2Ft.co%2Fm84BxcGlo3+%23IoT+%23DevOps+%23MachineLearning%E2%80%A6\nThu Sep 29 22:43:39 +0000 2016\tmachinelearnbot\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t158\tData-ism%3A+The+Revolution+Transforming+Decision+Making%2C+Consumer+Behavior%2C+An+here++https%3A%2F%2Ft.co%2FeFxc1SKrQt+%23machinelearning+%40machinelearnbot\nThu Sep 29 22:43:39 +0000 2016\tmachinelearnbot\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t158\tAsk%2C+Measure%2C+Learn%3A+Using+Social+Media+Analytics+To+Understand+And+Influenc+here++https%3A%2F%2Ft.co%2FzEoY2IhuSh+%23machinelearning+%40machinelearnbot\nThu Sep 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\t138\tRT+%40farashod%3A+Microsoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2Fau8JDrr0Af+%23MachineLearning\nThu Sep 29 22:42:38 +0000 2016\tharropj\tCompound 0.413 Negative 0.103 Neutral 0.719 Positive 0.178  \t108\t%40nicoleBans+I+am+familiar+with+the+idea+of+strata+as+a+concept%2C+but+not+sure+of+it+in+this+context.+%3AP\nThu Sep 29 22:42:32 +0000 2016\tSmallBizResCafe\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40FreedomFireCom%3A+The+Internet+Of+Things+Architecture+%26amp%3B+Protocols+Explained+%7BVIDEO%7D+https%3A%2F%2Ft.co%2Fm84BxcGlo3+%23IoT+%23DevOps+%23MachineLearning%E2%80%A6\nThu Sep 29 22:42:07 +0000 2016\tfreyduni\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t102\tMicrosoft+sharpens+AI+focus+with+new+research+group+https%3A%2F%2Ft.co%2FgcZiFcQeR7+%23machinelearning\nThu Sep 29 22:42:06 +0000 2016\tfreyduni\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t102\tMicrosoft+sharpens+AI+focus+with+new+research+group+https%3A%2F%2Ft.co%2FFmFb7b68cq+%23machinelearning\nThu Sep 29 22:42:01 +0000 2016\tRohitAkiwatkar\tCompound 0.4404 Negative 0.0 Neutral 0.805 Positive 0.195  \t159\tHow+a+good+Chatbot+should+behave%3F+https%3A%2F%2Ft.co%2FivPwND3naW+%23chatbots+%23AI+%23bots+%23IoT+%23tech+%23MachineLearning+https%3A%2F%2Ft.co%2FARIwnH4O4A\nThu Sep 29 22:41:39 +0000 2016\tshakamunyi\tCompound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  \t138\tRT+%40freyduni%3A+Microsoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2FjvlKclhEoO+%23MachineLearning\nThu Sep 29 22:41:39 +0000 2016\tshakamunyi\tCompound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  \t138\tRT+%40farashod%3A+Microsoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2Fau8JDrr0Af+%23MachineLearning\nThu Sep 29 22:41:38 +0000 2016\tSL_Robotics\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t186\tRT+%40RelearnML%3A+M2M+and+%23MachineLearning+%7C+%40ThingsExpo+%23IoT+%23M2M+%23IIoT+%23API+%23BigData+https%3A%2F%2Ft.co%2FGFTAh0L6At++%23machinelearning+https%3A%2F%2Ft.co%2F%E2%80%A6\nThu Sep 29 22:41:16 +0000 2016\tjhw1tte\tCompound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  \t176\tRT+%40evankirstel%3A+Google+swallows+11%2C000+novels+to+improve+AI%27s+conversation+https%3A%2F%2Ft.co%2FxhV8PFNLAq+%23AI+%23MachineLearning+https%3A%2F%2Ft.co%2FVrDC7%E2%80%A6\nThu Sep 29 22:41:15 +0000 2016\tSteevanSaldana\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6\nThu Sep 29 22:41:08 +0000 2016\tsharifkhalladi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t134\t10+Ways+to+Get+Data+From+the+Web%3A+Code%2C+Tools%2C+%26amp%3B+Data+Sets+https%3A%2F%2Ft.co%2FWohYEh3hCf+%23bigdata+%23machinelearning\nThu Sep 29 22:41:00 +0000 2016\tBertLatamore\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 22:40:49 +0000 2016\tImDataScientist\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t122\tRT+%40brakmic%3A+%23Microsoft+will+post+%23MachineLearning+tools+on+GitHub+next+week%0A%0A+https%3A%2F%2Ft.co%2FccrMNE0WTf\nThu Sep 29 22:40:35 +0000 2016\tchris_n_vinegar\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t96\tGoogle+Cloud+Machine+Learning+in+Beta+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FtbvpcPDIHK\nThu Sep 29 22:40:34 +0000 2016\tchris_n_vinegar\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t99\tUdacity%27s+Open+Source+Self-Driving+Car+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FRMc1T6zZHD\nThu Sep 29 22:40:21 +0000 2016\tmarcusfborba\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 22:40:19 +0000 2016\tbisgit_iov\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 22:40:18 +0000 2016\tSA_infra\tCompound 0.4767 Negative 0.0 Neutral 0.819 Positive 0.181  \t145\tBusiness+Intelligence+BI+Architect+Los+Angeles+Irvine+CA+%40teradata+California+USA+https%3A%2F%2Ft.co%2FeNANn7ghrf+%23analytics+%23ETL+%23Hadoop\nThu Sep 29 22:40:13 +0000 2016\ttxscooterd\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t170\tRT+%40Informatica%3A+%22You+must+empower+your+users+to+release+their+%23BigData+Super-Powers%21%22+-+Chad+Jennings%2C+Google+at+%23StrataHadoop+https%3A%2F%2Ft.c%E2%80%A6\nThu Sep 29 22:40:08 +0000 2016\t10xArmy\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40gp_pulipaka%3A+%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience+%0A%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6\nThu Sep 29 22:40:05 +0000 2016\tromeodigital\tCompound 0.4404 Negative 0.0 Neutral 0.698 Positive 0.302  \t107\tGoogle%2C+Facebook%2C+Amazon+join+forces+on+future+of+AI+https%3A%2F%2Ft.co%2FrCLTytyzZr+%23machinelearning\nThu Sep 29 22:39:44 +0000 2016\t10xArmy\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 22:39:38 +0000 2016\tBereanoPartners\tCompound 0.3485 Negative 0.0 Neutral 0.852 Positive 0.148  \t192\tRT+%40MarutiTech%3A+Chat+Bots+Aren%E2%80%99t+a+Fad.+They%E2%80%99re+a+Revolution+https%3A%2F%2Ft.co%2F3Mi0uuLxLi+%23chatbots+%23AI+%23MachineLearning+%23tech+%23IoT+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 22:39:35 +0000 2016\tlefep\tCompound 0.4767 Negative 0.0 Neutral 0.853 Positive 0.147  \t164\tRT+%40ibrahimjackson%3A+%23LEFTour+%23MachineLearning+at+%40google+with+%40lefep+study+tour+attendees.+%22Machine+intelligence+is+the+rocket.+%23Data+is+th%E2%80%A6\nThu Sep 29 22:39:33 +0000 2016\tDrAndyPardoe\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t185\tRT+%40innova_scape%3A+RT++Nevertheless%2C+%23ai+and+%23MachineLearning+are+becoming+more+prevalent+on+Wall+Street.+https%3A%2F%2Ft.co%2FVMhSl4S1X4%C2%A0%E2%80%A6+https%3A%2F%2F%E2%80%A6\nThu Sep 29 22:39:09 +0000 2016\tAchimGrosshans\tCompound 0.1139 Negative 0.0 Neutral 0.922 Positive 0.078  \t168\tRT+%40strataconf%3A+Don%27t+miss+%40Asurion+%23StrataHadoop+NYC+session+on+rapid+%23analytics+ROI+via+data+lake+management+https%3A%2F%2Ft.co%2F4JPbWkgTff+http%E2%80%A6\nThu Sep 29 22:39:01 +0000 2016\tMarutiTech\tCompound 0.3094 Negative 0.0 Neutral 0.842 Positive 0.158  \t176\tChat+Bots+Aren%E2%80%99t+a+Fad.+They%E2%80%99re+a+Revolution+https%3A%2F%2Ft.co%2F3Mi0uuLxLi+%23chatbots+%23AI+%23MachineLearning+%23tech+%23IoT+https%3A%2F%2Ft.co%2FfwIAQKbSco\nThu Sep 29 22:38:23 +0000 2016\tgkirch2028\tCompound 0.2263 Negative 0.0 Neutral 0.826 Positive 0.174  \t180\tRT+%40JSchroedl%3A+With+%40BlueData%2C+enterprises+can+%22Dockerize%22+Hadoop%2C+Spark%2C+%26amp%3B+other+%23bigdata+analytics+tools+%28via+%40tapbluedata+at+%23stratahado%E2%80%A6\nThu Sep 29 22:38:22 +0000 2016\trondagdag\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t96\tGoogle+Cloud+Machine+Learning+in+Beta+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FMtUuTAsc2Z\nThu Sep 29 22:38:21 +0000 2016\trondagdag\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t99\tUdacity%27s+Open+Source+Self-Driving+Car+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2F3ciII1yuie\nThu Sep 29 22:37:57 +0000 2016\tJaneParrish\tCompound -0.4215 Negative 0.227 Neutral 0.661 Positive 0.112  \t164\tRT+%40GuruculFed%3A+Consumers+to+be+more+informed.++Read%3A+How+%23machinelearning+can+help+fight+off+cyber+attacks+via+%40FortuneMagazine+https%3A%2F%2Ft.%E2%80%A6\nThu Sep 29 22:37:52 +0000 2016\tSmallBizResCafe\tCompound 0.4871 Negative 0.0 Neutral 0.835 Positive 0.165  \t176\tRT+%40FreedomFireCom%3A+How+Big+Is+The+Opportunity+For+The+Industrial+%23InternetOfThings%3F+%7BVIDEO%7D+https%3A%2F%2Ft.co%2FOYJRULFTd8+%23IoT+%23IIoT+%23DevOps+%23Ma%E2%80%A6\nThu Sep 29 22:37:29 +0000 2016\tJaneParrish\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t170\tRT+%40GuruculFed%3A+User+behavior+analytics+%26amp%3B+identity+access+uses+%23machinelearning+anomaly+detection+%26amp%3B+predictive+risk-scoring+algorithms+to+r%E2%80%A6\nThu Sep 29 22:37:21 +0000 2016\tgkirch2028\tCompound 0.7906 Negative 0.0 Neutral 0.667 Positive 0.333  \t145\tRT+%40BProcops%3A+Thanks+%40intel+%2C+%40DellEMCbigdata+and+all+of+our+customers+for+great+discussion+and+dinner.+https%3A%2F%2Ft.co%2FcqBWllZcfv\nThu Sep 29 22:37:10 +0000 2016\tpastoralbertito\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 22:37:00 +0000 2016\tmitulmakadia\tCompound 0.8402 Negative 0.0 Neutral 0.6 Positive 0.4  \t156\tHere+are+some+best+practices+for+a+successful+bot+development+project+https%3A%2F%2Ft.co%2FkT3x7LL8Qm+%23bots+%23AI%E2%80%A6+https%3A%2F%2Ft.co%2FlkDaxVntbt\nThu Sep 29 22:35:51 +0000 2016\tmachinelearnbot\tCompound 0.6369 Negative 0.0 Neutral 0.704 Positive 0.296  \t143\tRT+%40kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2Fs7HfISRJMi\nThu Sep 29 22:35:49 +0000 2016\tBereanoPartners\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 22:35:36 +0000 2016\tCIOdinners\tCompound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  \t143\tRT+%40INFA_BD%3A+Tips+for+a+winning+%23BigData+proof+of+concept+https%3A%2F%2Ft.co%2F5YRrdWSHTk+%23StrataHadoop+https%3A%2F%2Ft.co%2FmQJRKsUADq\nThu Sep 29 22:35:36 +0000 2016\tismailozer59\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 22:35:23 +0000 2016\tvenati\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t170\tRT+%40Informatica%3A+%22You+must+empower+your+users+to+release+their+%23BigData+Super-Powers%21%22+-+Chad+Jennings%2C+Google+at+%23StrataHadoop+https%3A%2F%2Ft.c%E2%80%A6\nThu Sep 29 22:35:14 +0000 2016\tnojdreh\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t117\tI%27m+hiring%21++Apply+now+for+the+position+of+Hadoop+Engineer+at+Limelight+Networks.+https%3A%2F%2Ft.co%2F3PLLQaaHcQ\nThu Sep 29 22:35:12 +0000 2016\tKevin_Jackson\tCompound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  \t126\tRT+%40data_nerd%3A+%40Kevin_Jackson+Thank+you+so+much+Kevin%2C+we+think+you+rock++%F0%9F%98%80%40babettetenhaken+%40strataconf\nThu Sep 29 22:34:59 +0000 2016\tRAYYAN557\tCompound 0.296 Negative 0.131 Neutral 0.654 Positive 0.215  \t162\tRT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40Lynnovermann+shares+the+need+to+use+%23DataSciencea+to+transform+the+US+criminal+justice+system.++%23DataD%E2%80%A6\nThu Sep 29 22:34:58 +0000 2016\tBobYelland\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t166\tRT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6\nThu Sep 29 22:34:58 +0000 2016\tOpenSkyNetwork\tCompound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  \t174\tRT+%40ContinuumIO%3A+%23StrataHadoop+-+see+demos+at+booth+325%2C+like+this+%23dataviz+of+%23Datashader+%26amp%3B+%23GeoViews+via+%23Anaconda+-+viz+1GB+of+%40OpenSkyN%E2%80%A6\nThu Sep 29 22:34:42 +0000 2016\tBertLatamore\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t179\tRT+%40JeffFrick%3A+.+%40ab_hi_++%26gt%3BAlways+bringing+the+energy...+Love+it%21%0A%40tresata+%40theCUBE+%40strataconf+%23BigDataNYC+%23StrataHadoop+%23BigDataWeek+%23AdW%E2%80%A6\nThu Sep 29 22:34:29 +0000 2016\tdeesank\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t155\tRT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos\nThu Sep 29 22:34:29 +0000 2016\tahmedAlamiFr\tCompound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  \t164\tRT+%40Ronald_vanLoon%3A+Machine+learning%2C+IoT+and+big+data%3A+Retailers+need+to+embrace+latest+tech+or+fall+behind+%7C+%23MachineLearning+%23IoT+%23RT+ht%E2%80%A6\nThu Sep 29 22:34:28 +0000 2016\tahmedAlamiFr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t186\tRT+%40KirkDBorne%3A+How+%23BigData+%26amp%3B+the+%23IoT+Create+%23SmartCities%3A+https%3A%2F%2Ft.co%2FTlelSAh03Z+%23abdsc+%23Analytics+%23DataScience+%23MachineLearning+%23AI+ht%E2%80%A6\nThu Sep 29 22:34:28 +0000 2016\tahmedAlamiFr\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40KirkDBorne%3A+Using+%23DataScience+and+%23MachineLearning+to+Revolutionize+360%C2%B0+Customer+Views%3A+https%3A%2F%2Ft.co%2F5Eiko3A0OE+%23BigData+%23CX+by+%40caro%E2%80%A6\nThu Sep 29 22:34:27 +0000 2016\tVVagias\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40elaineism%3A+.%40SAP%27s+Acquisition+of+%40Altiscale%3A+It%27s+About+%23NextGen+%23Apps+Not+Big+Data+https%3A%2F%2Ft.co%2FiGNXjHbTvw+by+%40holgermu+%23Hadoop+%23Anal%E2%80%A6\nThu Sep 29 22:34:26 +0000 2016\telaineism\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t156\t.%40SAP%27s+Acquisition+of+%40Altiscale%3A+It%27s+About+%23NextGen+%23Apps+Not+Big+Data+https%3A%2F%2Ft.co%2FiGNXjHbTvw+by+%40holgermu+%23Hadoop+%23Analysis\nThu Sep 29 22:34:23 +0000 2016\tPomBuzz\tCompound -0.3595 Negative 0.135 Neutral 0.865 Positive 0.0  \t172\tRT+%40noordinaryco%3A+You+Too+Can+Become+a+Machine+Learning+Rock+Star%21+No+PhD+Necessary.+https%3A%2F%2Ft.co%2FcTFfzix7NS+%23AI+%23machinelearning+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:34:23 +0000 2016\tPomBuzz\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40gp_pulipaka%3A+%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience+%0A%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6\nThu Sep 29 22:34:22 +0000 2016\tPomBuzz\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t172\tRT+%40dataandme%3A+Great+intro+series%3A+%22Model+evaluation%2C+model+selection%2C+and+algorithm+selection+in+%23MachineLearning+%22+by+%40rasbt+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 22:34:08 +0000 2016\tgklimol\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t164\tRT+%40dez_blanchfield%3A+%40thomaswdinsmore+%40robinbloor+%40eric_kavanagh+%40hadoop+-%0A%0Aand+when+they+do+catch+fire+they+jump+around+like+a+Maggot+on+a%E2%80%A6\nThu Sep 29 22:34:02 +0000 2016\trichardblogger\tCompound 0.3818 Negative 0.16 Neutral 0.55 Positive 0.29  \t110\tGood+idea.+Much+better+than+Tim+Kelsey%27s+arrogant+%22all+you+data+is+ours%22+https%3A%2F%2Ft.co%2FsURWmwbF3e\nThu Sep 29 22:33:50 +0000 2016\trnella01\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t172\tRT+%40dataandme%3A+Great+intro+series%3A+%22Model+evaluation%2C+model+selection%2C+and+algorithm+selection+in+%23MachineLearning+%22+by+%40rasbt+https%3A%2F%2Ft.co%E2%80%A6\nThu Sep 29 22:33:33 +0000 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22:33:00 +0000 2016\tSJFinne71\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t152\tGoogle+cloud+machine+learning+service+goes+into+public+beta%3A+Google%27s+Cloud+Machine+Lear...+https%3A%2F%2Ft.co%2FftX8BUCRyf+%23ML+%23machinelearning\nThu Sep 29 22:33:00 +0000 2016\tSJFinne71\tCompound 0.5574 Negative 0.0 Neutral 0.777 Positive 0.223  \t156\tAlexa%2C+Talk+Some+Sense%2C+Will+You%3F%3A+...+a+time+when+significant+progress+is+being+made+in...+https%3A%2F%2Ft.co%2FK2JuGr6MMG+%23ML+%23machinelearning\nThu Sep 29 22:32:36 +0000 2016\tjeff_weintraub\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t150\tFull+resolution+image+compression+model+released+by+%40googleresearch+on+%23TensorFlow+%F0%9F%99%8C+%23MachineLearning+https%3A%2F%2Ft.co%2FwHlWtJucBf\nThu Sep 29 22:32:02 +0000 2016\tDevOpsSummit\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 22:31:50 +0000 2016\tmarcusborba\tCompound 0.4767 Negative 0.0 Neutral 0.829 Positive 0.171  \t146\tMachine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23MachineLearning\nThu Sep 29 22:31:49 +0000 2016\tGeradSimon\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t144\tGoogle+unleashes+deep+learning+tech+on+language+with+Neural+Machine+Translation.+https%3A%2F%2Ft.co%2FC6B25HikTn+%2F%2F+%23AI+%23machineLearning\nThu Sep 29 22:31:39 +0000 2016\tsaphcp\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t129\tRT+%40ErichSap%3A+We+will+run+%23Hadoop+for+you+%2B+%23VORA+%40SAPInMemory+%40saphcp+%40Altiscale+https%3A%2F%2Ft.co%2FLXFyko1qaF\nThu Sep 29 22:31:37 +0000 2016\tcpringle1\tCompound 0.0 Negative 0.0 Neutral 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22:30:46 +0000 2016\tDeputyTod\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t128\tRT+%40INFA_BD%3A+Collaboratively+find%2C+prepare%2C+and+govern+data+for+analysis+https%3A%2F%2Ft.co%2Fgop5I5lJnF+%23StrataHadoop\nThu Sep 29 22:30:45 +0000 2016\tTowerBodyCorp\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t134\tHow+Do+You+Do+A+Strata+Search+And+Can+You+Do+It+Yourself.%0AFeel+free+to+ask+me+questions+on+Strata%21+https%3A%2F%2Ft.co%2F9fynhgy0O8\nThu Sep 29 22:30:35 +0000 2016\tBigDataExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 22:30:14 +0000 2016\tcolbytylerford\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t96\tGoogle+Cloud+Machine+Learning+in+Beta+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FKnR43WctWq\nThu Sep 29 22:30:10 +0000 2016\troens\tCompound 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2016\tCloudExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 22:29:44 +0000 2016\tDanMihalache007\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 22:29:39 +0000 2016\tisanuage\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t157\tEvaluate+%23BigData+technologies+in+less+than+a+week+with+%40Talend+Big+Data+Sandbox+https%3A%2F%2Ft.co%2Fciv9cLQZWt%E2%80%A6+https%3A%2F%2Ft.co%2FACTvE4wJbv\nThu Sep 29 22:29:27 +0000 2016\tdmenningervr\tCompound 0.7906 Negative 0.0 Neutral 0.563 Positive 0.438  \t96\tThat%27s+a+wrap.+Thanks+%40OReillyMedia+for+putting+on+another+great+%23StrataHadoop+conference.\nThu Sep 29 22:29:26 +0000 2016\tAutographsHut\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t103\tCOREY+KLUBER+2015+TOPPS+STRATA+SHADOWBOX+ON+CARD+AUTO+AUTOGRAPH+INDIANS+https%3A%2F%2Ft.co%2FkiMjG1TaCX\nThu Sep 29 22:29:26 +0000 2016\tAutographsHut\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t110\tDAVID+WRIGHT+2016+TOPPS+STRATA+ON+CARD+AUTO+AUTOGRAPH%2FJERSEY+%2370%2F75+METS+https%3A%2F%2Ft.co%2FzwFNa2dO1m\nThu Sep 29 22:29:23 +0000 2016\tThingsExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tRT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 22:28:49 +0000 2016\tDevopsG\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\t%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT\nThu Sep 29 22:28:01 +0000 2016\tVVagias\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t160\tRT+%40Themes_Net%3A+Flume+Vs+Apache+Nifi+-+which+one+to+choose%3A+Flume+Vs+Nifi+which+one+to+choose+log+data+ingestion+into+Hadoop....+https%3A%2F%2Ft.%E2%80%A6\nThu Sep 29 22:28:00 +0000 2016\tThemes_Net\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t146\tFlume+Vs+Apache+Nifi+-+which+one+to+choose%3A+Flume+Vs+Nifi+which+one+to+choose+log+data+ingestion+into+Hadoop....+https%3A%2F%2Ft.co%2FjcZw1A5c3o\nThu Sep 29 22:27:32 +0000 2016\tliu_tanq\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40gp_pulipaka%3A+%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience+%0A%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6\nThu Sep 29 22:27:29 +0000 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\t162\tRT+%40ewjirvine%3A+Great+perspective%3A+What+Companies+Get+Wrong+around+%23machinelearning+via+%40jeffjohnroberts+https%3A%2F%2Ft.co%2FNXxVPvQlFU+%23ai+%23bigdata\nThu Sep 29 22:26:18 +0000 2016\tDeepSingularity\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40gp_pulipaka%3A+%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience+%0A%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6\nThu Sep 29 22:26:14 +0000 2016\tdonal_d2\tCompound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  \t162\tRT+%40parikhash%3A+what+it+takes+to+succeed+with+%23datalake+-+think+u+can+do+it+with++point+solutions+%2F+code+generators%3F+%40Informatica+%23StrataHad%E2%80%A6\nThu Sep 29 22:26:06 +0000 2016\tMooredvdcoll\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40marcusborba%3A+How+to+build+a+robot+that+%E2%80%9Csees%E2%80%9D+with+%24100+and+TensorFlow+https%3A%2F%2Ft.co%2FbaoJ4qLUkm+%23DataScience+%23DeepLearning+%23MachineLearn%E2%80%A6\nThu Sep 29 22:26:01 +0000 2016\tgp_pulipaka\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t163\t%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience%E2%80%A6+https%3A%2F%2Ft.co%2F7KJt1cvzqc\nThu Sep 29 22:26:00 +0000 2016\tJulienGiever\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t148\tThe+Watson-based+cloud+service+integrates+various+data+types+and+applies+%23AI+to+decision+making+https%3A%2F%2Ft.co%2Fq9uFspRT9c+%23machinelearning\nThu Sep 29 22:25:59 +0000 2016\tMicroservicesE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:25:58 +0000 2016\tsbarrett1114\tCompound 0.1531 Negative 0.092 Neutral 0.789 Positive 0.118  \t162\tRT+%40ankurt%3A+%40rimmanehme+%23StrataHadoop+from+India+to+Tacoma+WA+Predictive+Models++help+predict+drop+out+rates+using+%40Azure+%40IT_UWT+%40UWStrong%E2%80%A6\nThu Sep 29 22:25:54 +0000 2016\tSubhakaraM\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40INFA_BD%3A+Tom+Reilly+and+James+Powell+discuss+how+Nielsen+partners+with+%40cloudera++on+%23Hadoop+in+the+%23cloud++at+%23StrataHadoop+https%3A%2F%2Ft.%E2%80%A6\nThu Sep 29 22:25:33 +0000 2016\tbotdirectorynet\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t115\tGoogle+Cloud+Machine+Learning+in+Beta+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2Ff94i5KfpUN+%23machinelearning\nThu Sep 29 22:25:33 +0000 2016\tbotdirectorynet\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t118\tUdacity%27s+Open+Source+Self-Driving+Car+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FCvc4m6nt99+%23machinelearning\nThu Sep 29 22:25:31 +0000 2016\tMicroservicesE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:25:22 +0000 2016\tGangesNguyendon\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t164\tRT+%40ContinuumIO%3A+%23StrataHadoop+-+see+datashader+in+action+at+Booth+325+-+US+Census+%23data+shows+racial+breakdown+of+%23NYC%2C+visualized+w%2F+%23Ana%E2%80%A6\nThu Sep 29 22:24:57 +0000 2016\tbinaryloom\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:24:52 +0000 2016\tMicroservicesE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:24:47 +0000 2016\tBuzzSaffa\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:24:43 +0000 2016\tdawnahukanna\tCompound -0.2732 Negative 0.117 Neutral 0.81 Positive 0.073  \t160\tRT+%40ri_cook%3A+The+real+world+is+an+edge+case.+The+mean+and+median+are+meaningless.+Everything+important+is+in+the+variance.+https%3A%2F%2Ft.co%2FpMV%E2%80%A6\nThu Sep 29 22:24:43 +0000 2016\tMicroservicesE\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6\nThu Sep 29 22:24:41 +0000 2016\ttime4ticking\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t176\tRT+%40JustDoBig%3A+%23MachineLearning%2C+%23AI+and+%23BigData+are+set+to+transform+the+healthcare+industry+forever.+Here%27s+how%3A+%28via+%40forbes%29++https%3A%2F%2F%E2%80%A6\nThu Sep 29 22:24:38 +0000 2016\tmiguelmalvarez\tCompound 0.8519 Negative 0.0 Neutral 0.583 Positive 0.417  \t166\tRT+%40chaudhry_sm%3A+Special+thanks+%40marcobonzanini+for+gr8+tak+at+%40python_london+%23meetup+on+%23NLP+%23ML+%23NaturalLanguageProcessing+%23MachineLearni%E2%80%A6\nThu Sep 29 22:24:19 +0000 2016\tlhanly_mdm\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t172\tRT+%40Informatica%3A+VIDEO%3A+%40RonenSchwartz+on+%23theCUBE+shares+ways+to+%22make+data+work+in+real-world+use+cases%22+https%3A%2F%2Ft.co%2FQ57jNNRINL+%40stratac%E2%80%A6\nThu Sep 29 22:24:18 +0000 2016\talyssa09\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t129\tRT+%40SAPInMemory%3A+LIVE+on+%23Periscope%3A+Why+SAP+%2B+%40Altiscale+makes+sense+%23StrataHadoop+https%3A%2F%2Ft.co%2Fpdd8bc9T3o\nThu Sep 29 22:24:16 +0000 2016\tPrint3DExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu 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\t178\tRT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:23:00 +0000 2016\tPrint3DExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6\nThu Sep 29 22:22:56 +0000 2016\tRajashekharPI\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t155\tRT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos\nThu Sep 29 22:22:54 +0000 2016\tdidem_un_ates\tCompound 0.5423 Negative 0.0 Neutral 0.71 Positive 0.29  \t145\tMicrosoft+Expands+Artificial+Intelligence+Efforts+With+New+5%2C000-Member+Research+Group+https%3A%2F%2Ft.co%2FBrIW1F2QFo+%23AI+%23machinelearning\nThu 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\t176\tRT+%40gp_pulipaka%3A+5+big+%23Tech+companies+form+group+to+foster+good+%23AI.+%23BigData+%23DeepLearning+%23MachineLearning+%23DataScience%0A%0Ahttps%3A%2F%2Ft.co%2FRN%E2%80%A6\nThu Sep 29 22:21:57 +0000 2016\tmaravikumar\tCompound 0.4199 Negative 0.0 Neutral 0.872 Positive 0.128  \t166\tRT+%40MuSigmaInc%3A+Advancements+like+%23IoT%2Ccloud+will+change+the+way+%23businesses+make+decisions%21To+know+more+visit+us+at+%40MuSigmaInc%27s+booth+%233%E2%80%A6\nThu Sep 29 22:21:49 +0000 2016\tgcosma1\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t151\tDeep+learning+architecture+diagrams%0Ahttps%3A%2F%2Ft.co%2F8MLDvCDjWV+%23DataScience+%23deeplearning+%23MachineLearning+https%3A%2F%2Ft.co%2FEAdbJQowf8\nThu Sep 29 22:21:30 +0000 2016\tBigRTweets\tCompound 0.8217 Negative 0.0 Neutral 0.569 Positive 0.431  \t96\tThanks+for+having+us+%40OReillyMedia%21++We+had+a+great+time+at+%23StrataHadoop%21+%23BigDataNYC\nThu Sep 29 22:21:30 +0000 2016\tnicoleBans\tCompound 0.0 Negative 0.0 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\t140\t%23NVIDIA+spreads+%23machinelearning+tech+around+Europe%2C+previews+Volta+GPU+for+self-driving+cars%E2%80%A6+https%3A%2F%2Ft.co%2Fy0iYbFeEoN\nThu Sep 29 22:20:26 +0000 2016\tIoTJournal\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:20:00 +0000 2016\tjamie_dixon\tCompound 0.5766 Negative 0.0 Neutral 0.777 Positive 0.223  \t193\tRT+%40innova_scape%3A+RT++Very+good+talk+about+%23DataScience+%23R+and+%23MachineLearning+https%3A%2F%2Ft.co%2FTb0KqcKvax%C2%A0%E2%80%A6+https%3A%2F%2Ft.co%2Fl3nond2WrE+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:19:58 +0000 2016\tIoTJournal\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:19:55 +0000 2016\tFmFrancoise\tCompound 0.6369 Negative 0.0 Neutral 0.704 Positive 0.296  \t143\tRT+%40kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2Fs7HfISRJMi\nThu Sep 29 22:19:52 +0000 2016\ttrinityventures\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t72\tPart+Two+%40CrowdFlower+%23TrinityFamily+https%3A%2F%2Ft.co%2FxIUhcXrbLx\nThu Sep 29 22:19:52 +0000 2016\tximdex\tCompound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  \t180\tRT+%40KirkDBorne%3A+%23Chatbots+and+Service+Industry+%E2%80%93+Towards+a+better+customer+experience%3A+https%3A%2F%2Ft.co%2FzAebIMuqWM+%23CX+%23CEM+%23MachineLearning+%23A%E2%80%A6\nThu Sep 29 22:19:34 +0000 2016\tWalesBuzz\tCompound 0.0 Negative 0.0 Neutral 1.0 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\t166\tRT+%40innova_scape%3A+RT++3+Industries+That+Will+Be+Transformed+By+%23AI%2C+Machine+Learning+And+Big+Data+In+The+Next+Decade+%23MachineLearning%E2%80%A6+http%E2%80%A6\nThu Sep 29 22:19:33 +0000 2016\tWalesBuzz\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t170\tRT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6\nThu Sep 29 22:19:33 +0000 2016\tWalesBuzz\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6\nThu Sep 29 22:19:33 +0000 2016\tWalesBuzz\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:19:32 +0000 2016\ttrinityventures\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t73\tPart+One+%40CrowdFlower+%23TrinityFamilly+https%3A%2F%2Ft.co%2FOU3qq4msZy\nThu Sep 29 22:19:17 +0000 2016\tIoTJournal\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:19:03 +0000 2016\tIoTJournal\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6\nThu Sep 29 22:18:54 +0000 2016\tsahil29nov\tCompound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  \t170\tRT+%40INFA_BD%3A+LIVE++at+%23StrataHadoop%3A+Princeton%27s+Sam+Wang+discusses+statistics%2C+machine+learning%2C+and+the+%22crazy+2016+election.%22+%23govit+%23po%E2%80%A6\nThu Sep 29 22:18:52 +0000 2016\tomgitsbbox\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t151\t%40jayesh_mori+presents+OPTIMUS%3A+%40tresata%27s+Next-Generation+Analytics++Operating+System+%40+CHUG+%23hadoop+%23clt+https%3A%2F%2Ft.co%2Fvjr6jEGkY6\nThu Sep 29 22:18:46 +0000 2016\tBigRTweets\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \t154\tRT+%40cutting%3A+%22Every+data+science+training+program+must+include+ethics+%26amp%3B+security.%22+%40DJ44%2C+U.S.+Chief+Data+Scientist+at+%23StrataHadoop\nThu Sep 29 22:18:25 +0000 2016\ttmmmarshall\tCompound 0.296 Negative 0.0 Neutral 0.872 Positive 0.128  \t178\tRT+%40ibmevents%3A+Join+us+for+%23SparkSummit+Europe+2016%3A+The+premier+%23ApacheSpark+community+event%2C+https%3A%2F%2Ft.co%2F0NetX2baPQ+%23ibm+https%3A%2F%2Ft.co%2Fr7%E2%80%A6\nThu Sep 29 22:18:20 +0000 2016\tAsiaIndex\tCompound 0.6486 Negative 0.0 Neutral 0.71 Positive 0.29  \t143\tRT+%40FGraillot%3A+Interesting+to+see+Baidu+launching+a+%24200m+%23VC+fund+focused+on+%23AI.+%23MachineLearning+https%3A%2F%2Ft.co%2FpNWPGvVCpr\nThu Sep 29 22:17:32 +0000 2016\tshakamunyi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t173\tRT+%40innova_scape%3A+RT++Apache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fs9eTmo8yqV%C2%A0+%23bigdata+https%3A%2F%2Ft.co%2F5JbkeWaKkq+https%3A%2F%2Ft.co%2FjXvbw9oUhr\nThu Sep 29 22:17:27 +0000 2016\tSDDCexpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:16:55 +0000 2016\tSDDCexpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:16:49 +0000 2016\tSecuring_IT\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t170\tRT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6\nThu Sep 29 22:16:38 +0000 2016\tdeesank\tCompound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  \t168\tRT+%40INFA_BD%3A+%22Artificial+Intelligence+will+revolutionize+transportation%2C+%23healthcare+and+society.%22+-+%40JimMcHugh+%23StrataHadoop+%23AI+%23healthIT%E2%80%A6\nThu Sep 29 22:16:25 +0000 2016\tKevin_Jackson\tCompound 0.7412 Negative 0.0 Neutral 0.73 Positive 0.27  \t168\tRT+%40babettetenhaken%3A+%40Kevin_Jackson+The+feeling+is+mutual%21%21+You+both+rock%21+Loved+working+w%2F+you+and+%40data_nerd+at+%40strataconf+%23knowyourdata%E2%80%A6\nThu Sep 29 22:16:23 +0000 2016\tinnova_scape\tCompound 0.4291 Negative 0.0 Neutral 0.795 Positive 0.205  \t173\tRT++ProsperWorks+raises+%2424M+for+its+Google-centric+CRM+solution+%23machinelearning+https%3A%2F%2Ft.co%2FGdZc8rfx72%C2%A0%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FhGpZi5PWJp\nThu Sep 29 22:16:22 +0000 2016\tGOLF_Review\tCompound 0.5622 Negative 0.0 Neutral 0.805 Positive 0.195  \t115\tGIFT+IDEA+FROM+%23AMAZON+%2310%3A+Callaway+Men%27s+Strata+Complete+Golf+Club+Set+with+Bag+%2812-Piece%29..++%23GOLF\nThu Sep 29 22:16:20 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t162\tRT++3+Industries+That+Will+Be+Transformed+By+%23AI%2C+Machine+Learning+And+Big+Data+In+The+Next+Decade+%23MachineLearning%E2%80%A6+https%3A%2F%2Ft.co%2FJg0Iv60ZSp\nThu Sep 29 22:16:18 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT++%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FF0WAiP6txR%C2%A0+%23IoT+%23ML+%23BigData%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FxZj7p65lfg\nThu Sep 29 22:16:17 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT++5+new+%23fintech+posts+about+%23machinelearning+%23venturecapital+https%3A%2F%2Ft.co%2F0dcmEeBZDq%C2%A0%E2%80%A6+https%3A%2F%2Ft.co%2FdjMHMfcOwM+https%3A%2F%2Ft.co%2FDdwIMWXipl\nThu Sep 29 22:16:17 +0000 2016\tSDDCexpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:16:15 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t154\tRT++Study+the+road+AND+driver%2C+then+use+%23machinelearning+to+make+autonomous+car+decisions.+Genius%2C%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FWd4Ml6ciDl\nThu Sep 29 22:16:13 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t149\tRT++Google+Cloud+%23MachineLearning%3A+Now+open+to+all+with+new+professional+services+and+education%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FrNonpkBfhI\nThu Sep 29 22:16:12 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT++twoXAR%2C+co-founded+by+MIT+Sloan+alumnus%2C+uses+%23machinelearning+to+identify+drug+candidates+in+minutes%2C+not%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FUNPgs2XRt7\nThu Sep 29 22:16:12 +0000 2016\tKevin_Jackson\tCompound 0.7964 Negative 0.0 Neutral 0.705 Positive 0.295  \t159\tRT+%40davenielsen%3A+%40Kevin_Jackson+Great+to+see+u+2+Kevin.+Can%27t+wait+to+finish+showing+you+my+favorite+parts+of+%40trustedanalytic+%40strataconf%E2%80%A6\nThu Sep 29 22:16:10 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT++Nevertheless%2C+%23ai+and+%23MachineLearning+are+becoming+more+prevalent+on+Wall+Street.+https%3A%2F%2Ft.co%2FVMhSl4S1X4%C2%A0%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FIsgk2AAhex\nThu Sep 29 22:16:08 +0000 2016\tinnova_scape\tCompound 0.5504 Negative 0.0 Neutral 0.756 Positive 0.244  \t178\tRT++Very+good+talk+about+%23DataScience+%23R+and+%23MachineLearning+https%3A%2F%2Ft.co%2FTb0KqcKvax%C2%A0%E2%80%A6+https%3A%2F%2Ft.co%2Fl3nond2WrE+https%3A%2F%2Ft.co%2Fo7RNvy0gVC\nThu Sep 29 22:16:07 +0000 2016\tSDDCexpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6\nThu Sep 29 22:15:38 +0000 2016\tmaish\tCompound 0.4404 Negative 0.0 Neutral 0.756 Positive 0.244  \t117\tHow+%23machinelearning+is+used+to+improve+the+%23ux+in+%23gsuite+%0Ahttps%3A%2F%2Ft.co%2FP9tZOHTZqB+via+%40techcrunch\nThu Sep 29 22:15:34 +0000 2016\tmarthaperez0609\tCompound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  \t162\tRT+%40Oracle%3A+Tired+of+waiting+in+lines+for+a+taxi%3F+The+wait+is+over%21+Ride+in+style+in+an+Oracle+Tesla.+Free+for+%23StrataHadoop+attendees%21+%23Or%E2%80%A6\nThu Sep 29 22:15:23 +0000 2016\tAnaMEcheverri\tCompound 0.296 Negative 0.0 Neutral 0.879 Positive 0.121  \t158\tWhat+is+all+the+hype+with+%23Spark%3F+Join+our+%23Meetup+in+%23Peoria+on+10%2F4+%23Apachespark+https%3A%2F%2Ft.co%2FvsBI0d86o0+https%3A%2F%2Ft.co%2FvfDCdncH0K\nThu Sep 29 22:15:21 +0000 2016\tinnova_scape\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t151\tRT++Apache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fs9eTmo8yqV%C2%A0+%23bigdata+https%3A%2F%2Ft.co%2F5JbkeWaKkq+https%3A%2F%2Ft.co%2FjXvbw9oUhr\nThu Sep 29 22:15:17 +0000 2016\tLeoBoeckl\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t170\tRT+%40IBMDataScience%3A+Test+your+rock%2C+paper%2C+scissors+skills+with+Marvin+the+robot.+Only+at+%23IBM+Booth+439+at+%23StrataHadoop%21+https%3A%2F%2Ft.co%2FnTk%E2%80%A6\nThu Sep 29 22:15:15 +0000 2016\tPybonacci\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t169\tRT+%40amuellerml%3A+Scikit-learn+0.18+is+out%21+Update+now+with+conda+or+pip%21+Check+out+the+changelog+here%3A+https%3A%2F%2Ft.co%2Fza27b0cqJm+%23sklearn+%28at%E2%80%A6\nThu Sep 29 22:15:09 +0000 2016\tGonzalezCarmen\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:15:08 +0000 2016\tGOLF_Review\tCompound 0.7125 Negative 0.0 Neutral 0.753 Positive 0.247  \t122\t%23AMAZON+BEST+SELLER+%239%3A+Callaway+Women%27s+Strata+Complete+Golf+Club+Set+with+Bag+%2811-Piece%29..++%23GOLF+%23CLUBS\nThu Sep 29 22:15:05 +0000 2016\tGOLF_Review\tCompound 0.7125 Negative 0.0 Neutral 0.753 Positive 0.247  \t120\t%23AMAZON+BEST+SELLER+%232%3A+Callaway+Men%27s+Strata+Complete+Golf+Club+Set+with+Bag+%2812-Piece%29..++%23GOLF+%23CLUBS\nThu Sep 29 22:14:40 +0000 2016\tGonzalezCarmen\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:14:26 +0000 2016\tSL_Robotics\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t140\tRT+%40data_nerd%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FVl4N9Dxa9E\nThu Sep 29 22:14:24 +0000 2016\tSubhakaraM\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t159\tRT+%40INFA_BD%3A+At+%23StrataHadoop%3F+Come+talk+to+%40Informatica+in+booth+%23445+about+powering+your+business+with+Data+Lakes+https%3A%2F%2Ft.co%2F5obNYh9DfF\nThu Sep 29 22:13:54 +0000 2016\tGonzalezCarmen\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:13:44 +0000 2016\tGonzalezCarmen\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6\nThu Sep 29 22:13:44 +0000 2016\tmiguelmalvarez\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t170\tRT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6\nThu Sep 29 22:13:38 +0000 2016\tcjiqbal\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t131\tRT+%40techjunkiejh%3A+Apache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fan4SCMZznY+%23bigdata+https%3A%2F%2Ft.co%2F6zn2PyqFVX\nThu Sep 29 22:13:36 +0000 2016\tbinaryloom\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:13:31 +0000 2016\tshakamunyi\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t131\tRT+%40techjunkiejh%3A+Apache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fan4SCMZznY+%23bigdata+https%3A%2F%2Ft.co%2F6zn2PyqFVX\nThu Sep 29 22:13:24 +0000 2016\tValueChainVids\tCompound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  \t115\t%28advanced+value+chain+videos+at+https%3A%2F%2Ft.co%2F6zSUphUVkM+%29+%23ValueChain+https%3A%2F%2Ft.co%2FTkzmNGF9fN\nThu Sep 29 22:13:19 +0000 2016\tmiguelmalvarez\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t162\tRT+%40SethGrimes%3A+Yishay+Carmiel+describes+how+deep+learning+for+speech+involves+recognition%2C+analytics%2C+synthesis.+%23NLP+%23StrataHadoop+https%3A%E2%80%A6\nThu Sep 29 22:13:17 +0000 2016\tBigDataBlogs\tCompound 0.128 Negative 0.0 Neutral 0.865 Positive 0.135  \t155\tDatanami+%C2%BB+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal%3A+SAP+completed+it+acquisition+of+big+...+https%3A%2F%2Ft.co%2FfCdH4HtJ74+%23BigData+%23Blogs\nThu Sep 29 22:13:01 +0000 2016\tSYSCONtv\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:12:34 +0000 2016\tSYSCONtv\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:12:13 +0000 2016\tmilo5714900\tCompound 0.7184 Negative 0.0 Neutral 0.625 Positive 0.375  \t158\tGoogle+delivers+free+personalization+support%2C+machine+learning+...+-+Marketing+Dive+https%3A%2F%2Ft.co%2Ft504ajEddj%E2%80%A6+https%3A%2F%2Ft.co%2FM2W4S3hug5\nThu Sep 29 22:12:09 +0000 2016\tFintanINFA\tCompound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  \t162\tRT+%40parikhash%3A+what+it+takes+to+succeed+with+%23datalake+-+think+u+can+do+it+with++point+solutions+%2F+code+generators%3F+%40Informatica+%23StrataHad%E2%80%A6\nThu Sep 29 22:12:09 +0000 2016\tKhalidHamdan0\tCompound -0.3804 Negative 0.178 Neutral 0.822 Positive 0.0  \t161\t34+Most+Disruptive+Technologies+of+the+Next+Decade+%40Tess_Townsend+https%3A%2F%2Ft.co%2Fcj7qcUmONh+MT+%40TamaraMcCleary%E2%80%A6+https%3A%2F%2Ft.co%2FaILm0MkC13\nThu Sep 29 22:12:09 +0000 2016\t_SoftwareTestin\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t189\t%23SoftwareTesting+%23security+%23softwaretest+%23test%0A%0A%23BigData+%23DevOps+%23DataCenter+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+%E2%80%A6\nThu Sep 29 22:11:59 +0000 2016\tideyvid\tCompound 0.784 Negative 0.0 Neutral 0.615 Positive 0.385  \t117\tRT+%40Pentaho%3A+Thank+you+%23StrataHadoop+or+a+great+event+-+see+you+in+Singapore%21+https%3A%2F%2Ft.co%2F7vXljSp422\nThu Sep 29 22:11:55 +0000 2016\tSYSCONtv\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:11:45 +0000 2016\tSYSCONtv\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6\nThu Sep 29 22:11:38 +0000 2016\tashwanth14\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t166\tRT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6\nThu Sep 29 22:11:18 +0000 2016\tDebraYamashita\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t170\tRT+%40Informatica%3A+%223+keys+to+%40Informatica+success%3A+Early+innovation+in+%23cloud%2C+Ease-of-Use+and+Agility.%22+-+%40amit_walia+%23StrataHadoop+%23theCUB%E2%80%A6\nThu Sep 29 22:10:57 +0000 2016\tduniacloud\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t103\tSplunk+ups+the+machine-learning+ante+-+Computerworld+https%3A%2F%2Ft.co%2F9hdMXvFwqG+%23machinelearning\nThu Sep 29 22:10:54 +0000 2016\tlukepuplett\tCompound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  \t129\tRT+%40acroll%3A+By+a+thousand+cuts%3A+Some+guesses+about+how+AI+will+take+jobs.+%23stratahadoop%0Ahttps%3A%2F%2Ft.co%2FWm2cERQV0R\nThu Sep 29 22:10:46 +0000 2016\tImDataScientist\tCompound 0.4939 Negative 0.0 Neutral 0.758 Positive 0.242  \t160\tRT+%40MikeTamir%3A+5+Phases+To+Successfully+Complete+a+%23DataScience+%23MachineLearning+Project+https%3A%2F%2Ft.co%2F1XdksxaCsj+https%3A%2F%2Ft.co%2FnhxkvsNF7Y\nThu Sep 29 22:10:40 +0000 2016\tinkalex\tCompound -0.6997 Negative 0.344 Neutral 0.554 Positive 0.102  \t184\tRT+%40Ronald_vanLoon%3A+K3OPS+PREVENTS+%E2%80%9CIOT%E2%80%9D+RISK+FROM+CYBER+ATTACKS+%7C+%23MachineLearning+%23IoT+%23RT+https%3A%2F%2Ft.co%2FiTo4a2y1P0+https%3A%2F%2Ft.co%2Fdi2vVakJCF\nThu Sep 29 22:10:35 +0000 2016\tBabble_Away\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t156\tBUNT%3A+A+Bot+UNderstanding+Testbed%3A+BUNT+%28Bot+UNderstanding+Testbed%29+What+is+BUNT+%3F+BUNT+is+a...+https%3A%2F%2Ft.co%2Fg5RBckbxuP+%23machinelearning\nThu Sep 29 22:10:29 +0000 2016\tRetailAnalytica\tCompound 0.4926 Negative 0.0 Neutral 0.738 Positive 0.262  \t113\tThe+latest+Retail+Analytica%21+https%3A%2F%2Ft.co%2F0qccB3dAKY+Thanks+to+%40RetailNext+%23stratahadoop+%23bigdata\nThu Sep 29 22:10:23 +0000 2016\tmiguelmalvarez\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t126\tRT+%40SethGrimes%3A+Yishay+Carmiel+is+talking+Deep+Learning+for+Speech.+%23NLP+%23StrataHadoop+https%3A%2F%2Ft.co%2F1zpV8MKsbl\nThu Sep 29 22:10:19 +0000 2016\tDigitalation\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t107\tWhy+%23DeepLearning+Is+Suddenly+Changing+Your+Life+https%3A%2F%2Ft.co%2FR1HBKBIqo4+%23MachineLearning+%23AI\nThu Sep 29 22:10:19 +0000 2016\tDomainsZen\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t107\tWhy+%23DeepLearning+Is+Suddenly+Changing+Your+Life+https%3A%2F%2Ft.co%2Fck65xGMWay+%23MachineLearning+%23AI\nThu Sep 29 22:10:19 +0000 2016\tFutureCloudTech\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t107\tWhy+%23DeepLearning+Is+Suddenly+Changing+Your+Life+https%3A%2F%2Ft.co%2F7rN96wQe9v+%23MachineLearning+%23AI\nThu Sep 29 22:10:09 +0000 2016\tInfaAnderson\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t160\tRT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6\nThu Sep 29 22:10:07 +0000 2016\ttechjunkiejh\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t109\tApache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fan4SCMZznY+%23bigdata+https%3A%2F%2Ft.co%2F6zn2PyqFVX\nThu Sep 29 22:09:49 +0000 2016\tJuan_A_Lleo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40IBMSPSS%3A+IBM+Data+Science+Experience+is+open%21+See+what%27s+new+and+sign+up%3A+https%3A%2F%2Ft.co%2FnS1jr1aoh1+%23DataSciX+%23StrataHadoop+https%3A%2F%2Ft.co%2F%E2%80%A6\nThu Sep 29 22:09:46 +0000 2016\tITProjectBoard\tCompound 0.128 Negative 0.0 Neutral 0.815 Positive 0.185  \t132\tRT+%40BigDataGear%3A+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2FiO3hovwI3E+%23BigData+%23Analytics+%23bigdata\nThu Sep 29 22:09:28 +0000 2016\tbiconnections\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t164\tRT+%40Capgemini%3A+A+next+gen+platform+developed+with+%40cloudera+to+accelerate+your+transformation+to+%23bigdata+analytics.+https%3A%2F%2Ft.co%2FVG0RMI2pp%E2%80%A6\nThu Sep 29 22:09:24 +0000 2016\tClaqRadio\tCompound 0.2023 Negative 0.0 Neutral 0.69 Positive 0.31  \t34\tNow+playing%3A+Strata+-+Stay+Young\nThu Sep 29 22:09:24 +0000 2016\tdeesank\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t131\tRT+%40INFA_BD%3A+How+to+Run+a+%23BigData+POC+%E2%80%94+In+Six+Weeks+https%3A%2F%2Ft.co%2FxzCOdxRMEa+%23stratahadoop+%23BigDataReady\nThu Sep 29 22:09:10 +0000 2016\tmiguelmalvarez\tCompound 0.5848 Negative 0.0 Neutral 0.847 Positive 0.153  \t157\tRT+%40FlaxSearch%3A+I+would+suggest+that+%23opensource+search+tech+such+as+%23Solr+is+the+*only*+way+this+could+have+been+done.+Fascinating+stuff%21%E2%80%A6\nThu Sep 29 22:09:06 +0000 2016\trenatoosousa\tCompound 0.6369 Negative 0.0 Neutral 0.704 Positive 0.296  \t143\tRT+%40kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2Fs7HfISRJMi\nThu Sep 29 22:09:02 +0000 2016\tRohitAkiwatkar\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t147\tHow+do+Chatbots+work%3F+https%3A%2F%2Ft.co%2FC1asqF1lIT+%23chatbots+%23AI+%23MachineLearning+%23tech+%23IoT+%23bots+https%3A%2F%2Ft.co%2Fd8ZTg2iKa3\nThu Sep 29 22:08:48 +0000 2016\tUlitzer\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:08:31 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\t131\tRT+%40bojan_simic%3A+Great+meetings+today+with+%40mapr+%40Zoomdata++%40rocanainc+%40SAP+%40DellEMC+%40CamSemantics+at+%40strataconf\nThu Sep 29 22:08:18 +0000 2016\tUlitzer\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:08:13 +0000 2016\tINFA_Chase\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t170\tRT+%40Informatica%3A+%22You+must+empower+your+users+to+release+their+%23BigData+Super-Powers%21%22+-+Chad+Jennings%2C+Google+at+%23StrataHadoop+https%3A%2F%2Ft.c%E2%80%A6\nThu Sep 29 22:07:51 +0000 2016\ttashay_g\tCompound 0.7717 Negative 0.0 Neutral 0.645 Positive 0.355  \t160\tThank+you+to+%40OReillyMedia+for+giving+me+the+opportunity+to+attend+%23StrataHadoop+as+a+Diversity+Scholarship+recipie%E2%80%A6+https%3A%2F%2Ft.co%2F0HdmDi3dzJ\nThu Sep 29 22:07:35 +0000 2016\tUlitzer\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:07:30 +0000 2016\tanncrosen\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t160\tRT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6\nThu Sep 29 22:07:23 +0000 2016\tUlitzer\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6\nThu Sep 29 22:07:20 +0000 2016\tdarshitjs\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \t168\tRT+%40strataconf%3A+Attending+%23StrataHadoop+NYC%3F+Prepare+with+free+Marketing+Data+Lake+Book+by+%40FranzAman+https%3A%2F%2Ft.co%2FQWEK0HkSIP+%23bigdata+http%E2%80%A6\nThu Sep 29 22:07:19 +0000 2016\tDigitalGokhan\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t198\tContainersExpo%3A+RT+CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FQD3O5LyODd+%23IoT%E2%80%A6+https%3A%2F%2Ft.co%2F9gjxmHoOMZ\nThu Sep 29 22:07:12 +0000 2016\tfreyduni\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t116\tThis+Robot-Made+Pizza+Is+Baked+in+the+Van+on+the+Way+to+Your+Door+https%3A%2F%2Ft.co%2FhDmxCKnEhF+%23machinelearning\nThu Sep 29 22:07:10 +0000 2016\trenuk16\tCompound 0.7754 Negative 0.0 Neutral 0.703 Positive 0.297  \t112\tLesson+from+Strata+Conf%3A+Most+of+the+inspiring+people+had+a+job+and+a+hobby+that+they+were+passionate+about%21\nThu Sep 29 22:07:09 +0000 2016\tfreyduni\tCompound 0.296 Negative 0.0 Neutral 0.845 Positive 0.155  \t117\tFacebook%2C+Google+and+Other+Tech+Giants+Join+Forces+To+Advance+AI+https%3A%2F%2Ft.co%2FLJ8vPAMbmd+%23machinelearning\nThu Sep 29 22:07:00 +0000 2016\tTechnovationCtr\tCompound 0.2023 Negative 0.0 Neutral 0.859 Positive 0.141  \t125\tResults+are+in%3A+Top+%23Algorithms+Used+by+Data+Scientists+%23MachineLearning+%23DataScience+https%3A%2F%2Ft.co%2FIj8XfSZZGc\nThu Sep 29 22:06:54 +0000 2016\tdej_io\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t165\tRT+%40bojan_simic%3A+Great+meetings+today+w%2F+%40mapr+%40Zoomdata++%40rocanainc+%40SAP+%40DellEMC+%40CamSemantics+at+%40strataconf+%23bigdata+%23hadoop+%23analytics\nThu Sep 29 22:06:50 +0000 2016\twhitevantastic\tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \t121\tPloughing+through+%40udacity++%23MachineLearning+%23TextLearning+.Interesting+course%0A%0Ahttps%3A%2F%2Ft.co%2Fe8mea57dFk\nThu Sep 29 22:06:10 +0000 2016\temiliochemali\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t95\tVendors+Pile+on+Big+Data+News+at+Strata+-+Enterprise+Apps+Today+https%3A%2F%2Ft.co%2F2slTTQ9WzB\nThu Sep 29 22:05:49 +0000 2016\twhitevantastic\tCompound 0.4019 Negative 0.0 Neutral 0.649 Positive 0.351  \t105\tPloughing+through+%40udacity++%23MachineLearning+.Interesting+course%0A%0Ahttps%3A%2F%2Ft.co%2Fe8mea57dFk\nThu Sep 29 22:05:49 +0000 2016\tFSResidentialBC\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t161\tElectric+Vehicles+in+Strata+Corporations+%E2%80%93+Click+here+to+read+the+article+from+our+most+recent+strata+newsletter%E2%80%A6+https%3A%2F%2Ft.co%2FgJMCUCMMVW\nThu Sep 29 22:05:29 +0000 2016\tBigDataGear\tCompound 0.128 Negative 0.0 Neutral 0.783 Positive 0.217  \t111\tSAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2FiO3hovwI3E+%23BigData+%23Analytics+%23bigdata\nThu Sep 29 22:05:29 +0000 2016\tCGS_Computers\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t167\tRT+%40cybersecboardrm%3A+Why+data+is+the+new+coal+%23BigData+%23deeplearning+%23MachineLearning+%23AI%0Ahttps%3A%2F%2Ft.co%2F7L0iAPTQle+https%3A%2F%2Ft.co%2FSrdp6OEIm3\nThu Sep 29 22:05:28 +0000 2016\tDaveBorean\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t159\tRT+%40AllSightBigData%3A+The+final+day+at+%23StrataHadoop+and+the+demo+rush+begins+%23Allsight+%23MDM+%23BigData+%23Customer360+https%3A%2F%2Ft.co%2FhRwEIzwuFm\nThu Sep 29 22:05:18 +0000 2016\tContainersExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:05:17 +0000 2016\tthesuchflex\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t63\t%23MachineLearning+As+A+Service+https%3A%2F%2Ft.co%2FJZ7xY3EZG9\nThu Sep 29 22:05:16 +0000 2016\tjamiecoupy\tCompound 0.8074 Negative 0.0 Neutral 0.687 Positive 0.313  \t166\tRT+%40PC_Urban%3A+An+architectural+award+winner%2C+PC+Urban+transformed+this+old+inn+to+a+strata+warehouse%3A+https%3A%2F%2Ft.co%2Fl4yBS1yOfc++%23bcbiz+https%E2%80%A6\nThu Sep 29 22:05:14 +0000 2016\tbabettetenhaken\tCompound 0.7412 Negative 0.0 Neutral 0.718 Positive 0.282  \t141\t%40Kevin_Jackson+The+feeling+is+mutual%21%21+You+both+rock%21+Loved+working+w%2F+you+and+%40data_nerd+at+%40strataconf+%23knowyourdata+%23TAP\nThu Sep 29 22:05:09 +0000 2016\tITCrowdsource\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:05:07 +0000 2016\tEnterpriseTek\tCompound 0.128 Negative 0.0 Neutral 0.706 Positive 0.294  \t85\t%23SAP+expands+%23Hadoop+reach+with+%23Altiscale+deal+https%3A%2F%2Ft.co%2FxlZHBgG00j\nThu Sep 29 22:05:04 +0000 2016\tTesting_Pro4u\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\t%23BigData+%23DevOps+%23DataCenter+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FA3hjUtXzYw+%23IoT+%E2%80%A6+https%3A%2F%2Ft.co%2FYnMmscr7Jl\nThu Sep 29 22:05:02 +0000 2016\tVVagias\tCompound 0.34 Negative 0.0 Neutral 0.876 Positive 0.124  \t166\tRT+%40sam_lucido%3A+Hadoop+Customers+Turn+to+Dell+EMC+for+Broad+Portfolio+Options+https%3A%2F%2Ft.co%2FospcX7tCua+customer+choice%3A+DAS%2C+shared+storage%2C%E2%80%A6\nThu Sep 29 22:05:02 +0000 2016\tsam_lucido\tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \t152\tHadoop+Customers+Turn+to+Dell+EMC+for+Broad+Portfolio+Options+https%3A%2F%2Ft.co%2FospcX7tCua+customer+choice%3A+DAS%2C+shared+storage%2C+virtualization\nThu Sep 29 22:05:01 +0000 2016\tade_oshineye\tCompound -0.2732 Negative 0.117 Neutral 0.81 Positive 0.073  \t160\tRT+%40ri_cook%3A+The+real+world+is+an+edge+case.+The+mean+and+median+are+meaningless.+Everything+important+is+in+the+variance.+https%3A%2F%2Ft.co%2FpMV%E2%80%A6\nThu Sep 29 22:05:00 +0000 2016\tcybersecboardrm\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t142\tWhy+data+is+the+new+coal+%23BigData+%23deeplearning+%23MachineLearning+%23AI%0Ahttps%3A%2F%2Ft.co%2F7L0iAPTQle+https%3A%2F%2Ft.co%2FSrdp6OEIm3\nThu Sep 29 22:04:54 +0000 2016\tdavenielsen\tCompound 0.7964 Negative 0.0 Neutral 0.693 Positive 0.307  \t147\t%40Kevin_Jackson+Great+to+see+u+2+Kevin.+Can%27t+wait+to+finish+showing+you+my+favorite+parts+of+%40trustedanalytic+%40strataconf+%23IntelAnalytics\nThu Sep 29 22:04:50 +0000 2016\tContainersExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:04:40 +0000 2016\tpeeyush_ag\tCompound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  \t170\tRT+%40INFA_BD%3A+LIVE++at+%23StrataHadoop%3A+Princeton%27s+Sam+Wang+discusses+statistics%2C+machine+learning%2C+and+the+%22crazy+2016+election.%22+%23govit+%23po%E2%80%A6\nThu Sep 29 22:04:39 +0000 2016\tFerdyLachman\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t150\tRT+%40INFA_BD%3A+Learn+to+turn+%23BigData+Into+Big+Value+With+Data+Lakes+https%3A%2F%2Ft.co%2F5obNYh9DfF+%40strataconf+https%3A%2F%2Ft.co%2F1OKhrNu58u\nThu Sep 29 22:04:39 +0000 2016\tFintanINFA\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \t168\tRT+%40strataconf%3A+Attending+%23StrataHadoop+NYC%3F+Prepare+with+free+Marketing+Data+Lake+Book+by+%40FranzAman+https%3A%2F%2Ft.co%2FQWEK0HkSIP+%23bigdata+http%E2%80%A6\nThu Sep 29 22:04:27 +0000 2016\tcrisgamboa\tCompound 0.784 Negative 0.0 Neutral 0.566 Positive 0.434  \t100\tThank+you+%23StrataHadoop+or+a+great+event+-+see+you+in+Singapore%21+https%3A%2F%2Ft.co%2FlBTEgO7SeQ\nThu Sep 29 22:04:25 +0000 2016\tKevin_Jackson\tCompound 0.5673 Negative 0.0 Neutral 0.522 Positive 0.478  \t110\tThank+you%21%21%21%21%21%21%21%21%40babettetenhaken+%40data_nerd+%40strataconf+https%3A%2F%2Ft.co%2FltPJwSbtTL\nThu Sep 29 22:04:19 +0000 2016\tinnes_jon\tCompound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  \t172\tRT+%40SAPAppHaus%3A+Great+talk+about+%23Bots+%2B+%23ArtificialIntelligence+%23MachineLearning+%23NaturalLanguageProcessing+by+%40eswarpr+https%3A%2F%2Ft.co%2FUYBbg%E2%80%A6\nThu Sep 29 22:04:12 +0000 2016\tContainersExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t178\tRT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6\nThu Sep 29 22:04:03 +0000 2016\tContainersExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 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\t162\tRT+%40rbeegun%3A+%23DataAnalytics+and+%23MachineLearning+are+definitely+here+to+stay+and+%23Luxembourg+has+a+key+role+to+play+%40AlmaxAnalytics+%23KPMGDi%E2%80%A6\nThu Sep 29 22:03:22 +0000 2016\tCloudExpoWire\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t200\tRT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:02:55 +0000 2016\tmarcusfborba\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40marcusborba%3A+How+to+build+a+robot+that+%E2%80%9Csees%E2%80%9D+with+%24100+and+TensorFlow+https%3A%2F%2Ft.co%2FbaoJ4qLUkm+%23DataScience+%23DeepLearning+%23MachineLearn%E2%80%A6\nThu Sep 29 22:02:53 +0000 2016\txentaurs\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t150\t5+Things+Everyone+Should+Know+About+Machine+Learning+https%3A%2F%2Ft.co%2FbnuhhOgEOo+%23Analytics+%23DeepLearning+%23MachineLearning+%23BI+%23Xentaurs\nThu Sep 29 22:02:51 +0000 2016\tCloudExpoWire\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:02:49 +0000 2016\tnitinramrap\tCompound 0.6369 Negative 0.0 Neutral 0.704 Positive 0.296  \t143\tRT+%40kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2Fs7HfISRJMi\nThu Sep 29 22:02:31 +0000 2016\tcrunchysupermom\tCompound 0.4588 Negative 0.0 Neutral 0.5 Positive 0.5  \t137\tRecipe%3A++Sweet+Potato+%26amp%3B+Spinach+Breakfast+Strata++%E2%80%94+Breakfast+Recipes+from+The+Kitchn+-+https%3A%2F%2Ft.co%2FGe4Y89wUY0\nThu Sep 29 22:02:28 +0000 2016\tVVagias\tCompound 0.128 Negative 0.0 Neutral 0.8 Positive 0.2  \t120\tRT+%40BigData_Fr%3A+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2Fl0cpnMqrna+%23BigData+%23Analytics\nThu Sep 29 22:02:28 +0000 2016\tVVagias\tCompound 0.128 Negative 0.0 Neutral 0.878 Positive 0.122  \t160\tRT+%40PJAtlanta%3A+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal%3A+SAP+completed+it+acquisition+of+big+data+analytics+startup+Alti...+https%3A%2F%2Ft.c%E2%80%A6\nThu Sep 29 22:02:28 +0000 2016\tPJAtlanta\tCompound 0.128 Negative 0.0 Neutral 0.865 Positive 0.135  \t146\tSAP+Expands+Hadoop+Reach+With+Altiscale+Deal%3A+SAP+completed+it+acquisition+of+big+data+analytics+startup+Alti...+https%3A%2F%2Ft.co%2FytroMGut4k\nThu Sep 29 22:02:27 +0000 2016\tBigData_Fr\tCompound 0.128 Negative 0.0 Neutral 0.762 Positive 0.238  \t100\tSAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2Fl0cpnMqrna+%23BigData+%23Analytics\nThu Sep 29 22:02:27 +0000 2016\tAnalyticsFr\tCompound 0.128 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2016\tabunchofdata\tCompound 0.7184 Negative 0.0 Neutral 0.7 Positive 0.3  \t135\tThree+Things+Leaders+Can+Do+to+Help+New+Hires+Start+Strong+-+https%3A%2F%2Ft.co%2F4ngkTtA5rs+%23machinelearning+%23IoT+%23AI+%23BigData\nThu Sep 29 22:02:10 +0000 2016\titknowingness\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t164\tRT+%40Capgemini%3A+A+next+gen+platform+developed+with+%40cloudera+to+accelerate+your+transformation+to+%23bigdata+analytics.+https%3A%2F%2Ft.co%2FVG0RMI2pp%E2%80%A6\nThu Sep 29 22:02:09 +0000 2016\tCapgemini\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t153\tA+next+gen+platform+developed+with+%40cloudera+to+accelerate+your+transformation+to+%23bigdata+analytics.+https%3A%2F%2Ft.co%2FVG0RMI2ppD+%23StrataHadoop\nThu Sep 29 22:02:07 +0000 2016\tMcMcgregory\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t197\t%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FCdJdFINfcn+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6\nThu Sep 29 22:02:06 +0000 2016\tCloudExpoWire\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t180\tRT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6\nThu Sep 29 22:02:06 +0000 2016\tArchersBodyCorp\tCompound 0.0772 Negative 0.0 Neutral 0.915 Positive 0.085  \t124\tWant+to+know+more+about+body+corporates%2C+owner+corporations+and+strata+schemes%3F+Read+on.+https%3A%2F%2Ft.co%2FawqWmAQB86\nThu Sep 29 22:02:04 +0000 2016\tfarashod\tCompound -0.296 Negative 0.167 Neutral 0.833 Positive 0.0  \t120\tMicrosoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2Fau8JDrr0Af+%23MachineLearning\nThu Sep 29 22:01:59 +0000 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\t180\tRT+%40abunchofdata%3A+Give+a+second+order+statement+true+in+%28R%2C%2B%29+but+false+in+%28Q%2C%2B%29+or+show+...+-+https%3A%2F%2Ft.co%2FJzowsAM1hh+%23machinelearning+%23Io%E2%80%A6\nThu Sep 29 22:01:38 +0000 2016\tfreyduni\tCompound -0.296 Negative 0.167 Neutral 0.833 Positive 0.0  \t120\tMicrosoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2FjvlKclhEoO+%23MachineLearning\nThu Sep 29 22:01:34 +0000 2016\tDataVirtuoz\tCompound 0.2263 Negative 0.0 Neutral 0.905 Positive 0.095  \t180\tRT+%40abunchofdata%3A+Give+a+second+order+statement+true+in+%28R%2C%2B%29+but+false+in+%28Q%2C%2B%29+or+show+...+-+https%3A%2F%2Ft.co%2FJzowsAM1hh+%23machinelearning+%23Io%E2%80%A6\nThu Sep 29 22:01:30 +0000 2016\ttechgigs\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t177\tGoogle%E2%80%99s+API.AI+Buy+Grows+Developers%E2%80%99+Toolkit+%23AI+%23MachineLearning+%23ChatBots+%23CloudSpeech+https%3A%2F%2Ft.co%2FOSsOTSv4DI+https%3A%2F%2Ft.co%2FPjqi4o1027\nThu Sep 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\t156\tRT+%40Bigdatahires%3A+Attn+%23Machinelearning+%23developers+who+want+to+use+...+-+https%3A%2F%2Ft.co%2FFor3C3G40B+%23machinelearning+%23IoT+%23AI+%23BigData\nThu Sep 29 22:00:52 +0000 2016\tdev_courses\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t146\tGet+up+to+84%25+off+all+Udemy+online+courses+today%2C+inc.+%23hadoop+%26amp%3B+%23java+courses+--+use+https%3A%2F%2Ft.co%2FQ4aAEdZu4J+for+discount\nThu Sep 29 22:00:52 +0000 2016\tIBMSparkJock\tCompound 0.296 Negative 0.0 Neutral 0.879 Positive 0.121  \t158\tWhat+is+all+the+hype+with+%23Spark%3F+Join+our+%23Meetup+in+%23Peoria+on+10%2F4+%23Apachespark+https%3A%2F%2Ft.co%2F8n33cxhIvF+https%3A%2F%2Ft.co%2FgvtylyQsAF\nThu Sep 29 22:00:46 +0000 2016\tCloudJobFair\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t184\tRT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6\nThu Sep 29 22:00:43 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\t174\tRT+%40KirkDBorne%3A+Essentials+of+%23MachineLearning+Algorithms+%28with+%23Python+and+R+Code%29+https%3A%2F%2Ft.co%2FR8bGXiFTvQ+%23abdsc+%23BigData+%23DataScience+ht%E2%80%A6\nThu Sep 29 21:56:47 +0000 2016\tforwardtension\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t168\tRT+%404everfusiongal%3A+Strata+and+Hadoop+World+is+about+to+close+and+there+is+still+a+crowd+for+%40hortonworks+DataFlow%2F%23ApacheNiFi%21%21+https%3A%2F%2Ft.%E2%80%A6\nThu Sep 29 21:56:46 +0000 2016\tsjmitch74\tCompound 0.5267 Negative 0.0 Neutral 0.773 Positive 0.227  \t162\tRT+%40alex_woodie%3A+An+idea+from+Microsoft%27s+%40josephsirosh++worth+considering%3A+being+a+%23Datadonor+like+being+an+organization+donor.+%23StrataHad%E2%80%A6\nThu Sep 29 21:56:45 +0000 2016\tBigDataExpo\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  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2016","alextaya","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40josephsirosh%3A+Videos+from+%23MSDataScienceSummit+in+Atlanta+now+available%3A+https%3A%2F%2Ft.co%2FsZAjDaIEZd+%23DataScience+%23MachineLearning+%23BigData%E2%80%A6"],["Thu Sep 29 23:52:51 +0000 2016","ihabilyas","Compound 0.5859 Negative 0.0 Neutral 0.743 Positive 0.257  ","80","Had+amazing+time+%40strataconf++NYC.+Talking+about+applying+ML+in+Data+Cleaning."],["Thu Sep 29 23:52:28 +0000 2016","monica1mullen","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40MDMGeek%3A+Every+%23datascience+program+must+include+ethics+%26amp%3B+security+-+%40DJ44%2C+U.S.+Chief+Data+Scientist+%23StrataHadoop+%23strataconf+%23BigDat%E2%80%A6"],["Thu Sep 29 23:52:26 +0000 2016","millerini","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  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29 23:51:14 +0000 2016","chandragouda07","Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","174","RT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40GaryMarcus+explains+the+move+%22from+%23BigData+to+human-level+artificial+intelligence%22+%23AI+https%3A%2F%2Ft.co%2FE%E2%80%A6"],["Thu Sep 29 23:51:12 +0000 2016","therriaultphd","Compound 0.5106 Negative 0.0 Neutral 0.87 Positive 0.13  ","147","Survived+my+first+%40strataconf%2C+which+is+some+kind+of+data+scientist+bucket+list+item+I+think.+Anyway%2C+time+to+go+home.+Boston%2C+here+I+come."],["Thu Sep 29 23:51:05 +0000 2016","vukovinski","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:50:42 +0000 2016","topiclyandroid","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  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Negative 0.318 Neutral 0.682 Positive 0.0  ","49","Thinking+is+hard.+https%3A%2F%2Ft.co%2FyCSh1SgCNl"],["Thu Sep 29 23:48:22 +0000 2016","FalgunChokshiMD","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","152","RT+%40analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+https%3A%2F%2Ft.co%2FnqwdWYVC4r+https%3A%2F%2Ft.co%2F4WY7mFSYTT"],["Thu Sep 29 23:48:22 +0000 2016","m1db","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40hgpu%3A+Thesis%3A+Processing+Big+Data+in+Main+Memory+and+on+GPU.+%23OpenCL+%23CUDA+%23BigData+%23Hadoop+%23Spark+%23Java+%23Scala.+https%3A%2F%2Ft.co%2FN5mR90NNqc"],["Thu Sep 29 23:48:04 +0000 2016","casual_chris","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 23:48:00 +0000 2016","AIAssistant","Compound -0.0772 Negative 0.104 Neutral 0.806 Positive 0.09  ","168","RT+%40nibhar%3A+%23BigData%2C+%23AI+and+%23MachineLearning+Will+%23Disrupt+Everything.+No+surprises+on+the+3+Industries+that+will+change+most.+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 23:47:42 +0000 2016","Tech_Terrorist","Compound 0.6662 Negative 0.0 Neutral 0.758 Positive 0.242  ","175","ritika+gunnar%3A+A+great+way+to+kick+of+our+%23DataFirst+launch+with+%40theCUBE+%23BigDataNYC%E2%80%A6+https%3A%2F%2Ft.co%2FPX3dx2Xzm4%E2%80%A6+https%3A%2F%2Ft.co%2FXAUCLVFRXD"],["Thu Sep 29 23:47:35 +0000 2016","SierraPeacock","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","82","Compend+taking+place+hadoop+renaissance%21%3A+JePD+https%3A%2F%2Ft.co%2FxYrvdj85nf"],["Thu Sep 29 23:47:30 +0000 2016","acorns_invest","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","132","Sailfish+platform+lets+everyone+give+%23BigData+%23analytics+a+try.+%23MachineLearning+%23Algorithms+https%3A%2F%2Ft.co%2FQYbXhMvM9O"],["Thu Sep 29 23:47:28 +0000 2016","YvesMulkers","Compound 0.4404 Negative 0.0 Neutral 0.756 Positive 0.244  ","134","The+six+ways+%23machinelearning+is+driving+profits+in+the+enterprise%0Ahttps%3A%2F%2Ft.co%2FZpw8kf7Nzm+https%3A%2F%2Ft.co%2FL773wnn7PK"],["Thu Sep 29 23:47:28 +0000 2016","biconnections","Compound 0.4404 Negative 0.0 Neutral 0.756 Positive 0.244  ","134","The+six+ways+%23machinelearning+is+driving+profits+in+the+enterprise%0Ahttps%3A%2F%2Ft.co%2FXtzqd366d3+https%3A%2F%2Ft.co%2FnZnbRdftJp"],["Thu Sep 29 23:47:14 +0000 2016","abunchofdata","Compound 0.2023 Negative 0.0 Neutral 0.859 Positive 0.141  ","123","Can+Swift+code+call+C+code+without+overhead%3F+-+https%3A%2F%2Ft.co%2FhqWfi8LNYu+%23machinelearning+%23IoT+%23AI+%23BigData"],["Thu Sep 29 23:47:14 +0000 2016","zippylab","Compound 0.128 Negative 0.0 Neutral 0.903 Positive 0.097  ","154","A+Machine-learning+Approach+To+Phishing+Detection+And+Defense+By+I.s.+Amiri+%282014-1+qui+++https%3A%2F%2Ft.co%2F0FS4zjmQl6+%23machinelearning+%40zippylab"],["Thu Sep 29 23:47:00 +0000 2016","iMamaAfrica","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40hornpolish+talks+about+how+SAS+is+%22more+open+than+you+might+think%22+++%23opensource+%23bigdata+%23hadoop+http%E2%80%A6"],["Thu Sep 29 23:46:50 +0000 2016","KLoweryVR","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40dmenningervr%3A+Chad+Jennings+of+%40googlecloud+announcing+BigQuery+for+Enterprise+%26amp%3B+large+partner+ecosystem+%23StrataHadoop+https%3A%2F%2Ft.co%2FjSG%E2%80%A6"],["Thu Sep 29 23:46:29 +0000 2016","RisingTideFund","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","133","RT+%40skymindio%3A+Techcrunch+feature+on+Skymind+and+%40deeplearning4j+%23java+%23MachineLearning+%3A+https%3A%2F%2Ft.co%2F6QdU40k92m"],["Thu Sep 29 23:46:27 +0000 2016","nibhar","Compound -0.0772 Negative 0.115 Neutral 0.785 Positive 0.099  ","158","%23BigData%2C+%23AI+and+%23MachineLearning+Will+%23Disrupt+Everything.+No+surprises+on+the+3+Industries+that+will+change+most.+https%3A%2F%2Ft.co%2FC0PSJo4Qv9"],["Thu Sep 29 23:46:23 +0000 2016","JSHorwitz","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","141","RT+%40apachespark_tc%3A+Build+a+%23spark+application+in+our+French+Sparkathon+%23Apachespark+%23SparkathonIBM+https%3A%2F%2Ft.co%2FLqLlOehWsf"],["Thu Sep 29 23:45:51 +0000 2016","topiclybigdata","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40EdKwedar%3A+The+Big+%27Big+Data%27+Question%3A+%23Hadoop+or+%23Spark+%3F+%7C+%23BigData+%23DataScience+https%3A%2F%2Ft.co%2FJ7sZ1JHnrG+https%3A%2F%2Ft.co%2FIbM2SB7blt"],["Thu Sep 29 23:45:45 +0000 2016","pjonwhite","Compound -0.7088 Negative 0.285 Neutral 0.579 Positive 0.135  ","158","RT+%40ginablaber%3A+Precision+Medicine+Initiative%3A+cancer+and+other+top+health+issues+need+data+solutions.+These+are+solvable+problems%21+%40dpatil%E2%80%A6"],["Thu Sep 29 23:45:22 +0000 2016","DBaker007","Compound 0.4767 Negative 0.0 Neutral 0.78 Positive 0.22  ","167","%23Splunk+puts+%23MachineLearning+at+center+of+operational+intelligence+portfolio+%40CIOonline+https%3A%2F%2Ft.co%2FqTsr8dLB8z%E2%80%A6+https%3A%2F%2Ft.co%2FXb7qq2nCgL"],["Thu Sep 29 23:45:17 +0000 2016","botdirectorynet","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","124","Using+Deep+Learning+to+Predict+Steering+Angles+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2Fa2H6ZvCJnv+%23machinelearning"],["Thu Sep 29 23:45:16 +0000 2016","botdirectorynet","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","138","%5B1609.01000v1%5D+Convexified+Convolutional+Neural+Networks+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FvKqksn4J7A+%23machinelearning"],["Thu Sep 29 23:45:14 +0000 2016","EYEONproperty","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","Strata+Report+for+6%2F43+College+St+Newtown+is+now+online+https%3A%2F%2Ft.co%2FK1o7KBKh3G+%23Newtown+%23realestate+%23property+%23home+https%3A%2F%2Ft.co%2FFPRItmnrTi"],["Thu Sep 29 23:45:00 +0000 2016","Absolutdata","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","123","How+can+data+be+humanized%3F+https%3A%2F%2Ft.co%2FpziCxw3eZr+%23Humanizing+%23IoT+%23AI+%23Machinelearning+%23DataAnalytics"],["Thu Sep 29 23:44:55 +0000 2016","BuzzSaffa","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40hornpolish+talks+about+how+SAS+is+%22more+open+than+you+might+think%22+++%23opensource+%23bigdata+%23hadoop+http%E2%80%A6"],["Thu Sep 29 23:44:28 +0000 2016","m1db","Compound 0.4404 Negative 0.0 Neutral 0.769 Positive 0.231  ","174","RT+%40DataFlairWS%3A+%22A+comprehensive+guide+of+Spark+for+beginners.%0A%23BigData+%23ApacheSpark+%23Spark+%23MapReduce+%23Hadoop+%23DataScience...+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 23:44:21 +0000 2016","VVagias","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40EdKwedar%3A+The+Big+%27Big+Data%27+Question%3A+%23Hadoop+or+%23Spark+%3F+%7C+%23BigData+%23DataScience+https%3A%2F%2Ft.co%2FJ7sZ1JHnrG+https%3A%2F%2Ft.co%2FIbM2SB7blt"],["Thu Sep 29 23:44:20 +0000 2016","m1db","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40EdKwedar%3A+The+Big+%27Big+Data%27+Question%3A+%23Hadoop+or+%23Spark+%3F+%7C+%23BigData+%23DataScience+https%3A%2F%2Ft.co%2FJ7sZ1JHnrG+https%3A%2F%2Ft.co%2FIbM2SB7blt"],["Thu Sep 29 23:44:20 +0000 2016","Moabdel","Compound 0.3818 Negative 0.0 Neutral 0.867 Positive 0.133  ","168","RT+%40xuyleman%3A+Check+out+my+latest+blog+%40xuyleman+about+bringing+Benefits+of+%23BigData+to+Businesses+%40CiscoCloud+%23StrataHadoop+https%3A%2F%2Ft.co%2Fy%E2%80%A6"],["Thu Sep 29 23:43:53 +0000 2016","theCUBE","Compound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  ","131","RT+%40ritika_gunnar%3A+A+great+way+to+kick+of+our+%23DataFirst+launch+with+%40theCUBE+%23BigDataNYC+https%3A%2F%2Ft.co%2Fvvdzw03IK5"],["Thu Sep 29 23:43:41 +0000 2016","freelance_jobs","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","145","%28Budget%3A+%24250+-+%24750+USD%2C+Jobs%3A+Crystal+Reports%2C+Hadoop%2C+Machine+Learning%2C+Psychology%2C+SAS%29+https%3A%2F%2Ft.co%2F3zlSIe3NLU"],["Thu Sep 29 23:43:35 +0000 2016","JoindaHunt","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","171","sas+clinical+trial+programmers+by+peppyluvb+https%3A%2F%2Ft.co%2Fl1e8cRNkiS++%28Budget%3A+%24250+-+%24750+USD%2C+Jobs%3A+Crystal+Reports%2C+Hadoop%2C+Machine+Lear%E2%80%A6"],["Thu Sep 29 23:43:32 +0000 2016","NVSData","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","166","RT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6"],["Thu Sep 29 23:43:18 +0000 2016","machinelearnbot","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40jimmfleming%3A+Notes+on+Hierarchical+Multiscale+Recurrent+Neural+Networks+https%3A%2F%2Ft.co%2Fbh1pfnfxoU+%23deeplearning+%23machinelearning+%23nlp+htt%E2%80%A6"],["Thu Sep 29 23:43:08 +0000 2016","LeapmanNatalie","Compound 0.2263 Negative 0.0 Neutral 0.84 Positive 0.16  ","94","Condition+anent+the+strata+mangers+with-it+straight+a+strata+sparingness+collection%3A+JMmZBUY"],["Thu Sep 29 23:43:05 +0000 2016","nass1060","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40SearchCloudApps%3A+The+evolution+of+%23datascience+via+%40IBMAnalytics%27s+%40ritika_gunnar%3A+https%3A%2F%2Ft.co%2FrQoZMmdIAK+%23machinelearning+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 23:43:01 +0000 2016","peter_ryans","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","153","Starter+blueprint+for+%23iot+on+%23ibmbluemix+https%3A%2F%2Ft.co%2FEyTq8TVeKX+%23machinelearning+%23bigdata+%23blockchain+https%3A%2F%2Ft.co%2F87DHFC5mqV"],["Thu Sep 29 23:43:00 +0000 2016","MSAccel","Compound 0.3595 Negative 0.0 Neutral 0.849 Positive 0.151  ","160","%23ICYMI+-+regsiter+today%21+Join+us+%40CICCtech%27s+International+Business+Summit+Nov+2%3A+https%3A%2F%2Ft.co%2FLAJIUPxCpx+%23IoT+%23BigData+%23MachineLearning"],["Thu Sep 29 23:42:58 +0000 2016","EdgarSanchez","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40gcosma1%3A+Deep+learning+architecture+diagrams%0Ahttps%3A%2F%2Ft.co%2F8MLDvCDjWV+%23DataScience+%23deeplearning+%23MachineLearning+https%3A%2F%2Ft.co%2FEAdbJQowf8"],["Thu Sep 29 23:42:50 +0000 2016","SandeepDadlani","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","110","RT+%40kdnuggets%3A+%23MachineLearning+%23Trends+and+the+Future+of+%23AI+%23KDN+https%3A%2F%2Ft.co%2FgF1jd1oj6z"],["Thu Sep 29 23:42:46 +0000 2016","odsc","Compound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  ","172","RT+%40exaptive%3A+Help+finding+signal+in+noise%3A+Ten+Myths+About+Machine+Learning+https%3A%2F%2Ft.co%2FXJc70YH0vv+%23datascience+%23machinelearning+https%3A%2F%2F%E2%80%A6"],["Thu Sep 29 23:42:05 +0000 2016","SubhakaraM","Compound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  ","164","RT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40Cisco+Director+%40tobranno+talks+about+blocking+23+million+%23cyberattacks+at+the+connected+Rio+%23Olympics.%E2%80%A6"],["Thu Sep 29 23:41:56 +0000 2016","shakamunyi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40mpyllan%3A+A+%23NeuralNetwork+for+Machine+Translation%2C+at+Production+Scale+%7C+https%3A%2F%2Ft.co%2F6nbKROBHB5+%23NLP+%23MachineLearning+via+%40googleresea%E2%80%A6"],["Thu Sep 29 23:41:56 +0000 2016","shakamunyi","Compound 0.6115 Negative 0.0 Neutral 0.8 Positive 0.2  ","155","RT+%40ajsondev%3A+Most+excellent+that%27s+the+train+journey+sorted+for+all+next+week+%23dev+%23MachineLearning+%23education+https%3A%2F%2Ft.co%2FGvWSjKJIPB"],["Thu Sep 29 23:41:35 +0000 2016","Inthehighest1","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40SQLServer%3A+%23Azure+%23HDInsight+now+running+%23Hortonworks+HDP+2.5+with+LLAP+for+up+to+25x+faster+queries.+%23StrataHadoop+https%3A%2F%2Ft.co%2FnGesjc%E2%80%A6"],["Thu Sep 29 23:41:33 +0000 2016","EdgarSanchez","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40MikeTamir%3A+Deep+Learning+Part+1%3A+Comparison+of+Symbolic+Deep+Learning+Frameworks+https%3A%2F%2Ft.co%2FapbnjZhpJ3+%23MachineLearning+%23AI+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 23:41:17 +0000 2016","ritika_gunnar","Compound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  ","108","A+great+way+to+kick+of+our+%23DataFirst+launch+with+%40theCUBE+%23BigDataNYC+https%3A%2F%2Ft.co%2Fvvdzw03IK5"],["Thu Sep 29 23:40:58 +0000 2016","rodmar_zavala","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","149","RT+%40jeffheaton%3A+A+visual+introduction+to+%23MachineLearning+%2C+just+scroll+through+and+watch+the+%23JavaScript+.+https%3A%2F%2Ft.co%2FfZTo2whNYj"],["Thu Sep 29 23:40:49 +0000 2016","forwardtension","Compound 0.636 Negative 0.125 Neutral 0.512 Positive 0.363  ","99","%40kdinerman+%40hortonworks+%40eccresta+lucky+to+have+talented+folks+together+again.+++No+limits%21"],["Thu Sep 29 23:40:44 +0000 2016","chandragouda07","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 23:40:43 +0000 2016","mandhriti","Compound -0.3182 Negative 0.168 Neutral 0.741 Positive 0.091  ","151","RT+%40tobranno%3A+Tell+your+kids+to+go+into+data+science.+Job+board+at+strata+Hadoop+full+of+desperate+cries+for+help+from+companies+with+deep%E2%80%A6"],["Thu Sep 29 23:40:38 +0000 2016","VijayAnand180","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","121","the+%40MicroStrategy+sales+team+one+ups+the+marketing+guys+at+%23StrataHadoop+%23SOCKGAME+https%3A%2F%2Ft.co%2FdL3pIN3CgH"],["Thu Sep 29 23:40:23 +0000 2016","sahil29nov","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40INFA_BD%3A+Answer+Marketing%27s+simplest+questions+with+rock-hard+data+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2F3NgJ3N5y%E2%80%A6"],["Thu Sep 29 23:40:20 +0000 2016","mpyllan","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","112","Pricing+Strategy%3A+%23MachineLearning+%26amp%3B+Market+Dynamics+%7C+https%3A%2F%2Ft.co%2FZjdSpHwCv7+%23Business"],["Thu Sep 29 23:40:15 +0000 2016","mandhriti","Compound 0.4927 Negative 0.0 Neutral 0.824 Positive 0.176  ","176","RT+%40ciscoDC%3A+10+really+good+%23BigData+reasons+to+visit+Cisco%27s+booth+at+%23StrataHadoop+NYC+this+week.%0Ahttps%3A%2F%2Ft.co%2FgCaaxp8NCe+https%3A%2F%2Ft.co%2Fkv%E2%80%A6"],["Thu Sep 29 23:40:14 +0000 2016","dustcloud_io","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","196","RT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6"],["Thu Sep 29 23:40:10 +0000 2016","rsrit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","134","3+Industries+That+Will+Be+Transformed+By+%23AI%2C+%23MachineLearning+And+%23BigData+In+The+Next+Decade+https%3A%2F%2Ft.co%2F6gJCvfAu0C"],["Thu Sep 29 23:40:08 +0000 2016","lucasoft_co_uk","Compound 0.5562 Negative 0.0 Neutral 0.826 Positive 0.174  ","155","RT+%40IBMDataScience+Get+free+Raspberry+Pi+3+at+Strata%2BHadoop+World%21+Visit+%23IBM+Booth+439+to+find+out+%23StrataHadoop+https%3A%2F%2Ft.co%2FZgbBKsARvC"],["Thu Sep 29 23:39:53 +0000 2016","10xArmy","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40gp_pulipaka%3A+%23SparkText%3A+Biomedical+%23TextMining+on+%23BigData+Framework.+%23MachineLearning+%23DataScience+%23AI+%23HealthCare+%0A%0Ahttps%3A%2F%2Ft.co%2FzJg%E2%80%A6"],["Thu Sep 29 23:39:49 +0000 2016","10xArmy","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","161","RT+%40illanaRaia%3A+Heavy-hitter+partnership+in+the+%22golden+age+of+machine+learning+and+AI%22...+https%3A%2F%2Ft.co%2FyeYXptnIM7+%23AI+%23MachineLearning+%23KM"],["Thu Sep 29 23:39:39 +0000 2016","mandhriti","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","143","%40CiscoDC+is+at+%23strataconf+-+learn+more+about+%23BigData+and+%23DigitalTransformation++https%3A%2F%2Ft.co%2Fif55kQ9ved+via+%40raghu_nambiar"],["Thu Sep 29 23:39:17 +0000 2016","DeltaBrain","Compound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  ","160","Interesting+that+2%2F3+of+these+involve+data+from+monitoring+hardware%2C+whereas+healthcare+big+data+has+previously+foc%E2%80%A6+https%3A%2F%2Ft.co%2FGsdBSstuUe"],["Thu Sep 29 23:39:06 +0000 2016","MarcusFrei_","Compound 0.4019 Negative 0.0 Neutral 0.87 Positive 0.13  ","172","RT+%40Esben_UR%3A+Interesting+research+on+%23machinelearning+conducted+by+.%40MIT%2C+.%40TUDelftDRI+and+.%40esa+in+space%3A+a+%23robot+learns+to+see+https%3A%2F%2F%E2%80%A6"],["Thu Sep 29 23:39:06 +0000 2016","fusemachines","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40lisachwinter%3A+3+Industries+That+Will+Be+Transformed+By+%23AI%2C+%23MachineLearning+And+%23BigData+In+The+Next+Decade+via+%40forbes+https%3A%2F%2Ft.co%2F2%E2%80%A6"],["Thu Sep 29 23:39:01 +0000 2016","continuity1tech","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","120","%23MachineLearning+is+at+the+very+peak+of+its+hype+cycle+via+%40Gartner_inc+https%3A%2F%2Ft.co%2FHC0s084lxh+++%23BigData"],["Thu Sep 29 23:39:00 +0000 2016","RajashekharPI","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40hornpolish+talks+about+how+SAS+is+%22more+open+than+you+might+think%22+++%23opensource+%23bigdata+%23hadoop+http%E2%80%A6"],["Thu Sep 29 23:38:59 +0000 2016","edublancas","Compound -0.7088 Negative 0.285 Neutral 0.579 Positive 0.135  ","158","RT+%40ginablaber%3A+Precision+Medicine+Initiative%3A+cancer+and+other+top+health+issues+need+data+solutions.+These+are+solvable+problems%21+%40dpatil%E2%80%A6"],["Thu Sep 29 23:38:04 +0000 2016","IotJw","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","121","Deep+learning+architecture+diagrams+-+FastML+https%3A%2F%2Ft.co%2F4dmFQl7WPg+%40fastml+%23deeplearning+%23MachineLearning"],["Thu Sep 29 23:38:02 +0000 2016","topiclydrones","Compound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  ","180","RT+%40petrosoininen%3A+Golf%2C+Drones%2C+React%2C+Pyrite3D+and+Azure+%28%23elasticsearch%2C+SQL%2C+%23machinelearning%29+https%3A%2F%2Ft.co%2FPysDYUq31V+Awesome+%40StefanG%E2%80%A6"],["Thu Sep 29 23:37:53 +0000 2016","fabirasgado","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","115","RT+%40topiclyapis%3A+4+new+%23apis+posts+about+%23machinelearning+%23husbystockholm+https%3A%2F%2Ft.co%2F9x7m6KBr2y"],["Thu Sep 29 23:37:39 +0000 2016","VVagias","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","186","RT+%40resumex88%3A+sas+clinical+trial+programmers+by+peppyluvb%3A+%28Budget%3A+%24250+-+%24750+USD%2C+Jobs%3A+Crystal+Reports%2C+Hadoop%2C+Machine%E2%80%A6+https%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 23:37:39 +0000 2016","resumex88","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","sas+clinical+trial+programmers+by+peppyluvb%3A+%28Budget%3A+%24250+-+%24750+USD%2C+Jobs%3A+Crystal+Reports%2C+Hadoop%2C+Machine%E2%80%A6+https%3A%2F%2Ft.co%2F9E5Lt4S81f"],["Thu Sep 29 23:37:20 +0000 2016","dpatil","Compound -0.7088 Negative 0.285 Neutral 0.579 Positive 0.135  ","158","RT+%40ginablaber%3A+Precision+Medicine+Initiative%3A+cancer+and+other+top+health+issues+need+data+solutions.+These+are+solvable+problems%21+%40dpatil%E2%80%A6"],["Thu Sep 29 23:37:15 +0000 2016","CosmicTherapy","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","161","RT+%40illanaRaia%3A+Heavy-hitter+partnership+in+the+%22golden+age+of+machine+learning+and+AI%22...+https%3A%2F%2Ft.co%2FyeYXptnIM7+%23AI+%23MachineLearning+%23KM"],["Thu Sep 29 23:37:01 +0000 2016","biancatwilk","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40vijilent%3A+Read+our+white+paper+about+%23MachineLearning+for+%23LeadQualification+here%3A+https%3A%2F%2Ft.co%2F3BIscoydpF+https%3A%2F%2Ft.co%2FJeADvPQ43k"],["Thu Sep 29 23:36:45 +0000 2016","HRafhumcar","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40gp_pulipaka%3A+%23SparkText%3A+Biomedical+%23TextMining+on+%23BigData+Framework.+%23MachineLearning+%23DataScience+%23AI+%23HealthCare+%0A%0Ahttps%3A%2F%2Ft.co%2FzJg%E2%80%A6"],["Thu Sep 29 23:36:34 +0000 2016","erikschlegel1","Compound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  ","180","RT+%40petrosoininen%3A+Golf%2C+Drones%2C+React%2C+Pyrite3D+and+Azure+%28%23elasticsearch%2C+SQL%2C+%23machinelearning%29+https%3A%2F%2Ft.co%2FPysDYUq31V+Awesome+%40StefanG%E2%80%A6"],["Thu Sep 29 23:36:22 +0000 2016","HAL_9000_AI","Compound -0.296 Negative 0.128 Neutral 0.872 Positive 0.0  ","148","RT+%40abunchofdata%3A+If+you+are+practicing+your+power+pose%2C+stop+now+-+https%3A%2F%2Ft.co%2FDhrpJYq6D6+%23machinelearning+%23IoT+%23AI+%23BigData"],["Thu Sep 29 23:36:00 +0000 2016","abunchofdata","Compound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  ","126","If+you+are+practicing+your+power+pose%2C+stop+now+-+https%3A%2F%2Ft.co%2FDhrpJYq6D6+%23machinelearning+%23IoT+%23AI+%23BigData"],["Thu Sep 29 23:35:57 +0000 2016","jeffheaton","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","129","A+visual+introduction+to+%23MachineLearning+%2C+just+scroll+through+and+watch+the+%23JavaScript+.+https%3A%2F%2Ft.co%2FfZTo2whNYj"],["Thu Sep 29 23:35:51 +0000 2016","RobRe62","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+Universal+function+approximation+with+%23DeepLearning+%28in+Torch+and+R%29+https%3A%2F%2Ft.co%2Fu9s3AxGruE+%23abdsc+%23MachineLearning+%23DataS%E2%80%A6"],["Thu Sep 29 23:35:50 +0000 2016","RobRe62","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","173","RT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+I%29+https%3A%2F%2Ft.co%2F8qcag7GGMF+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6"],["Thu Sep 29 23:35:49 +0000 2016","RobRe62","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+II%29+https%3A%2F%2Ft.co%2FesFtipGCmt+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6"],["Thu Sep 29 23:35:47 +0000 2016","Fiona_INFA","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 23:35:45 +0000 2016","GoodComputerTa","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","142","Toshiba+Strata+DK+16e+%28WITH+DK-40+CHIP%29+and+DK+40+PHONE+SYSTEMS+WITH+CARDS+https%3A%2F%2Ft.co%2FINBoEB3bqa+https%3A%2F%2Ft.co%2FqIHPZ1WwRY"],["Thu Sep 29 23:35:37 +0000 2016","rajrknec","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40INFA_BD%3A+Answer+Marketing%27s+simplest+questions+with+rock-hard+data+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2F3NgJ3N5y%E2%80%A6"],["Thu Sep 29 23:35:36 +0000 2016","SorishaPragyan","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","RT+%40noyesk%3A+White+House+to+data+scientists%3A+We+need+you+https%3A%2F%2Ft.co%2FfH13FrlhIy+via+%40pcworld+%23datascience+%23bigdata+%23stratahadoop"],["Thu Sep 29 23:35:18 +0000 2016","ComplexCollect","Compound 0.128 Negative 0.097 Neutral 0.783 Positive 0.12  ","166","RT+%40ComplexCollect%3A+Check+out+2015+Topps+Strata+%23Football+Sammie+Coates+Clear+Cut+Jersey+Auto+RC+RPA+%23NFL+%23Steelers++https%3A%2F%2Ft.co%2FJi3B6aG98%E2%80%A6"],["Thu Sep 29 23:35:17 +0000 2016","mpyllan","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","134","5+Industries+Being+Transformed+by+%23BigData+%26amp%3B+%23MachineLearning+in+the+Cloud+%7C+https%3A%2F%2Ft.co%2FFJMpK0yl72+%23Business"],["Thu Sep 29 23:35:17 +0000 2016","DBaker007","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","173",".%40SAP+officially+announces+%23acquisition+of+%23BigData+%23startup+%40Altiscale+via+%40VentureBeat+https%3A%2F%2Ft.co%2F1sbJecy7HU%E2%80%A6+https%3A%2F%2Ft.co%2FiArs1Q3jpG"],["Thu Sep 29 23:35:07 +0000 2016","eisenzopf","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","109","Google%E2%80%99s+Cloud+%23MachineLearning+service+is+now+in+public+beta+https%3A%2F%2Ft.co%2FHeD60X9KlH+%23ai"],["Thu Sep 29 23:35:05 +0000 2016","KatySlingluff","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","RT+%40INFA_BD%3A+LIVE+from+%23StrataHadoop%3A+%40dj44+gives+a+view+of+%22Data+Science+from+the+White+House%22+%23GovIT+https%3A%2F%2Ft.co%2FrBlOMnClRT"],["Thu Sep 29 23:34:37 +0000 2016","G10Link","Compound 0.2023 Negative 0.0 Neutral 0.847 Positive 0.153  ","133","RT+%40MATLAB%3A+What+are+top+%23machinelearning+experts+working+on%3F+https%3A%2F%2Ft.co%2FPGHeJVvc1E+https%3A%2F%2Ft.co%2FMcAztwjrBV"],["Thu Sep 29 23:34:18 +0000 2016","homeAInews","Compound 0.8402 Negative 0.0 Neutral 0.636 Positive 0.364  ","165","RT+%40mitulmakadia%3A+Here+are+some+best+practices+for+a+successful+bot+development+project+https%3A%2F%2Ft.co%2FkT3x7LL8Qm+%23bots+%23AI+%23MachineLearning%E2%80%A6"],["Thu Sep 29 23:33:53 +0000 2016","Social_Man13","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 23:33:43 +0000 2016","Sansoy","Compound 0.4588 Negative 0.0 Neutral 0.769 Positive 0.231  ","147","Apttus+Nets+%2488M%2C+Pushes+Machine+Learning+With+New+Intelligent+Agent+%27Max%27%0Ahttps%3A%2F%2Ft.co%2FnDnIOk4znz%0A%23MachineLearning+%23apttus"],["Thu Sep 29 23:33:27 +0000 2016","twistedblaster","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","RT+%40Sansoy%3A+Google%E2%80%99s+Cloud+Machine+Learning+service+is+now+in+public+beta%0Ahttps%3A%2F%2Ft.co%2FRCO6vPiaxT%0A%23MachineLearning+%23google"],["Thu Sep 29 23:33:22 +0000 2016","dev_courses","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","146","Get+up+to+86%25+off+all+Udemy+online+courses+today%2C+inc.+%23hadoop+%26amp%3B+%23java+courses+--+use+https%3A%2F%2Ft.co%2FHcYzEMVELz+for+discount"],["Thu Sep 29 23:33:21 +0000 2016","INFA_Chase","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 23:33:03 +0000 2016","javanewyk","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40raghu_nambiar%3A+%40CiscoDC+is+at+%23strataconf+this+week+-+learn+more+about+%23DigitalTransformation+with+Hadoop.++https%3A%2F%2Ft.co%2FMsMTigHn99+via%E2%80%A6"],["Thu Sep 29 23:32:54 +0000 2016","javanewyk","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40lizcentoni%3A+%40CiscoDC+is+at+%23strataconf+-+learn+more+about+%23BigData+and+%23DigitalTransformation++https%3A%2F%2Ft.co%2FE78B63mPYm+via+%40raghu_nambi%E2%80%A6"],["Thu Sep 29 23:32:40 +0000 2016","Sansoy","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","134","Google%E2%80%99s+Cloud+Machine+Learning+service+is+now+in+public+beta%0Ahttps%3A%2F%2Ft.co%2FRCO6vPiaxT%0A%23MachineLearning+%23google"],["Thu Sep 29 23:32:15 +0000 2016","bigboardsio","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","166","RT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6"],["Thu Sep 29 23:31:55 +0000 2016","REVyourdata","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","RT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos"],["Thu Sep 29 23:31:37 +0000 2016","deesank","Compound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  ","170","RT+%40INFA_BD%3A+LIVE++at+%23StrataHadoop%3A+Princeton%27s+Sam+Wang+discusses+statistics%2C+machine+learning%2C+and+the+%22crazy+2016+election.%22+%23govit+%23po%E2%80%A6"],["Thu Sep 29 23:31:27 +0000 2016","lizcentoni","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","143","%40CiscoDC+is+at+%23strataconf+-+learn+more+about+%23BigData+and+%23DigitalTransformation++https%3A%2F%2Ft.co%2FE78B63mPYm+via+%40raghu_nambiar"],["Thu Sep 29 23:31:15 +0000 2016","tj_voros","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","51","mapr%3A+Tomorrow%21+https%3A%2F%2Ft.co%2F70Th4nKlwi"],["Thu Sep 29 23:30:53 +0000 2016","Melina_Kate","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","51","mapr%3A+Tomorrow%21+https%3A%2F%2Ft.co%2F3524p6PWxV"],["Thu Sep 29 23:30:23 +0000 2016","Shyam17","Compound 0.6597 Negative 0.0 Neutral 0.526 Positive 0.474  ","167","Just+How+Smart+Are+Smart+Machines%3F%23MachineLearning%2C%23Technology%2C+%23InformationTechnology%2C%23IT%2C%23ArtificialIntelligence.+https%3A%2F%2Ft.co%2FzFNWcDTs5k"],["Thu Sep 29 23:30:19 +0000 2016","pdconner52","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","90","%40Super70sSports+that+punt+was+on+Strata-Matic+Football.++Triple+1+on+the+dice+I+believe."],["Thu Sep 29 23:30:10 +0000 2016","LucieModsen","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","188","RT+%40JohnKarryko%3A+%27%40IBM+acquires+%40PromontoryFG%2C+bringing+%23CognitiveComputing.%27+%23BigData+%23MachineLearning+%23DataScience+%23AI+%23IBM%E2%80%A6+https%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 23:30:03 +0000 2016","nschaetti","Compound -0.7096 Negative 0.282 Neutral 0.718 Positive 0.0  ","148","Mr.+%23robot+Creator+on+How+He+Takes+Show+Criticism+--+Vulture.+%23robotic+%23machinelearning+%23AI+%23IA+%23BigData+https%3A%2F%2Ft.co%2FkBr3zqJejw"],["Thu Sep 29 23:30:00 +0000 2016","v_vashishta","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","101","Why+%23deeplearning+is+suddenly+changing+your+life+https%3A%2F%2Ft.co%2FPeHWr4Pt8f+%23MachineLearning"],["Thu Sep 29 23:29:51 +0000 2016","JennieCal","Compound -0.6739 Negative 0.531 Neutral 0.469 Positive 0.0  ","42","%40teavu+Oh+FFS.+%40WANdisco+%40strataconf"],["Thu Sep 29 23:29:44 +0000 2016","SorishaPragyan","Compound 0.6037 Negative 0.0 Neutral 0.69 Positive 0.31  ","124","RT+%40strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FnwuAJAuvUi"],["Thu Sep 29 23:29:29 +0000 2016","ChrisSeminoff","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","51","mapr%3A+Tomorrow%21+https%3A%2F%2Ft.co%2FLy63xJjnV9"],["Thu Sep 29 23:29:29 +0000 2016","kibo35","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","138","RT+%40deeplearning4j%3A+Convexified+Convolutional+Neural+Networks+https%3A%2F%2Ft.co%2FXsHxw806dN+%23deeplearning+%23machinelearning+%23AI"],["Thu Sep 29 23:29:27 +0000 2016","teavu","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","148","Booth+babes+in+this+day+and+age%3F+Really+%40WANdisco+%40strataconf%3F+%23StrataHadoop+%23fail+%23womenintech+%23wit+https%3A%2F%2Ft.co%2FBUhJIs4J1n"],["Thu Sep 29 23:28:42 +0000 2016","ram_ssk","Compound 0.8176 Negative 0.0 Neutral 0.622 Positive 0.378  ","152","ML+Trends%3A+Data+Flywheels%2C+Cloud+Intelligence+and+Algorithm+Market+place.+Cool+article+with+wise+words+from%E2%80%A6+https%3A%2F%2Ft.co%2FWK85Q00Myz"],["Thu Sep 29 23:28:33 +0000 2016","JohnKarryko","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","171","%27%40IBM+acquires+%40PromontoryFG%2C+bringing+%23CognitiveComputing.%27+%23BigData+%23MachineLearning+%23DataScience+%23AI+%23IBM%E2%80%A6+https%3A%2F%2Ft.co%2FJ4yKR8NGMT"],["Thu Sep 29 23:28:23 +0000 2016","gautranguillaum","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","161","RT+%40illanaRaia%3A+Heavy-hitter+partnership+in+the+%22golden+age+of+machine+learning+and+AI%22...+https%3A%2F%2Ft.co%2FyeYXptnIM7+%23AI+%23MachineLearning+%23KM"],["Thu Sep 29 23:28:17 +0000 2016","BereanoPartners","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40innova_scape%3A+RT++ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23AWS+%23cloud%E2%80%A6+https%3A%2F%2Ft.co%2FUdMaO%E2%80%A6"],["Thu Sep 29 23:28:13 +0000 2016","NeuroTechLAX","Compound 0.8353 Negative 0.0 Neutral 0.575 Positive 0.425  ","152","A+really+interesting+result+looking+at+clinical+and+demographic+factors%2C+definitely+worthy+of+further+investigation%21+https%3A%2F%2Ft.co%2Fdkc8pfoqgI"],["Thu Sep 29 23:28:11 +0000 2016","teavu","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","126","Booth+babes+in+this+day+and+age%3F+Really+%40WANdisco+%40strataconf%3F+%23StrataHadoop+%23fail+https%3A%2F%2Ft.co%2FPObyeRLrj9"],["Thu Sep 29 23:28:08 +0000 2016","kevinlum_mapr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","51","mapr%3A+Tomorrow%21+https%3A%2F%2Ft.co%2F8doYQOIOX8"],["Thu Sep 29 23:27:53 +0000 2016","CloudJobFair","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 23:27:50 +0000 2016","CloudJobFair","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0"],["Thu Sep 29 23:27:47 +0000 2016","CloudJobFair","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:27:45 +0000 2016","CloudJobFair","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","196","RT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6"],["Thu Sep 29 23:27:34 +0000 2016","peterlangela","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40BernardMarr%3A+%23BigData%2C+%23AI+and+%23MachineLearning+Will+Disrupt+Everything%2C+Here+Are+3+Industries+That+Will+Be+Transformed+https%3A%2F%2Ft.co%2FAb%E2%80%A6"],["Thu Sep 29 23:27:28 +0000 2016","theCUBE","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","Next+Gen+Analytics+Roundtable+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%40JustinSaadein+%40miriamfriedel+%40jameskobielus"],["Thu Sep 29 23:27:26 +0000 2016","CloudJobFair","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 23:27:22 +0000 2016","FabulousPowers","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","51","mapr%3A+Tomorrow%21+https%3A%2F%2Ft.co%2Fc8xeTr5JCa"],["Thu Sep 29 23:27:19 +0000 2016","_SoftwareTestin","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","%23SoftwareTesting+%23security+%23softwaretest+%23test%0A%0A%23BigData+%23DevOps+%23DataCenter+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+%E2%80%A6"],["Thu Sep 29 23:27:19 +0000 2016","innova_scape","Compound -0.5484 Negative 0.228 Neutral 0.772 Positive 0.0  ","175","RT++Cheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FKUYovstuhQ%C2%A0+via+%40forbes%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FScGWypLw0F"],["Thu Sep 29 23:27:19 +0000 2016","_SoftwareTestin","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","181","%23SoftwareTesting+%23security+%23softwaretest+%23test%0A%0A%23BigData+%23DevOps+%23DataCenter+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+%E2%80%A6"],["Thu Sep 29 23:27:16 +0000 2016","innova_scape","Compound 0.3094 Negative 0.0 Neutral 0.883 Positive 0.117  ","154","RT++Apache+Spot+is+a+new+open+source+project+for+cybersecurity.+Uses+Hadoop+for+%23BigData+and+Spark+for%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FQD2aMWHbpx"],["Thu Sep 29 23:27:09 +0000 2016","CasertaConcepts","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40theCUBE%3A+Next+Gen+Analytics+Roundtable+on+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%408pathsolutions+%40joe_casert%E2%80%A6"],["Thu Sep 29 23:27:01 +0000 2016","DeepLearningHub","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40jimmfleming%3A+Notes+on+Hierarchical+Multiscale+Recurrent+Neural+Networks+https%3A%2F%2Ft.co%2Fbh1pfnfxoU+%23deeplearning+%23machinelearning+%23nlp+htt%E2%80%A6"],["Thu Sep 29 23:26:54 +0000 2016","joe_caserta","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40theCUBE%3A+Next+Gen+Analytics+Roundtable+on+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%408pathsolutions+%40joe_casert%E2%80%A6"],["Thu Sep 29 23:26:47 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","186","RT++Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2FyY3L7uPtxC%C2%A0+%23BigData+%23IoT+%23M2M+%23ML%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2F86KuQaDYyk"],["Thu Sep 29 23:26:45 +0000 2016","illanaRaia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","141","Heavy-hitter+partnership+in+the+%22golden+age+of+machine+learning+and+AI%22...+https%3A%2F%2Ft.co%2FyeYXptnIM7+%23AI+%23MachineLearning+%23KM"],["Thu Sep 29 23:26:45 +0000 2016","itknowingness","Compound 0.7003 Negative 0.0 Neutral 0.746 Positive 0.254  ","160","RT+%40alguadam%3A+Amazing+how+%40SwiftKey+guessed+my+interests+in+a+few+seconds+just+learning+from+my+mail+%23NeuralNetwork+%23MachineLearning+https%3A%E2%80%A6"],["Thu Sep 29 23:26:44 +0000 2016","SwiftKey","Compound 0.7003 Negative 0.0 Neutral 0.746 Positive 0.254  ","160","RT+%40alguadam%3A+Amazing+how+%40SwiftKey+guessed+my+interests+in+a+few+seconds+just+learning+from+my+mail+%23NeuralNetwork+%23MachineLearning+https%3A%E2%80%A6"],["Thu Sep 29 23:26:44 +0000 2016","innova_scape","Compound -0.5484 Negative 0.228 Neutral 0.772 Positive 0.0  ","175","RT++Cheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FKUYovstuhQ%C2%A0+via+%40forbes%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2Fh0UK7iJgEb"],["Thu Sep 29 23:26:43 +0000 2016","innova_scape","Compound 0.3094 Negative 0.0 Neutral 0.883 Positive 0.117  ","154","RT++Apache+Spot+is+a+new+open+source+project+for+cybersecurity.+Uses+Hadoop+for+%23BigData+and+Spark+for%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2Fhh5A7SUnPu"],["Thu Sep 29 23:26:42 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","161","RT++ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23AWS+%23cloud%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FpGdQSonOQ6"],["Thu Sep 29 23:26:41 +0000 2016","DeepSingularity","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40gp_pulipaka%3A+%27%40SAP+Seals+%40Altiscale+Deal.%27+%23BigData+%23DataScience+%23Hadoop+%23HaaS+%23SAPHANA+%23InMemoryComputing++%0A%0Ahttps%3A%2F%2Ft.co%2FM2bhoFdQ1L+h%E2%80%A6"],["Thu Sep 29 23:26:36 +0000 2016","j2ames_q","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 23:26:36 +0000 2016","mapr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","43","Tomorrow%21+https%3A%2F%2Ft.co%2Fj7JB0YII7g"],["Thu Sep 29 23:26:30 +0000 2016","DeepSingularity","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40gp_pulipaka%3A+%27%40IBM+acquires+%40PromontoryFG%2C+bringing+%23CognitiveComputing.%27+%23BigData+%23MachineLearning+%23DataScience+%23AI+%23IBM%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 23:26:24 +0000 2016","DeepSingularity","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40gp_pulipaka%3A+%23SparkText%3A+Biomedical+%23TextMining+on+%23BigData+Framework.+%23MachineLearning+%23DataScience+%23AI+%23HealthCare+%0A%0Ahttps%3A%2F%2Ft.co%2FzJg%E2%80%A6"],["Thu Sep 29 23:26:19 +0000 2016","deeplearning4j","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","114","Convexified+Convolutional+Neural+Networks+https%3A%2F%2Ft.co%2FXsHxw806dN+%23deeplearning+%23machinelearning+%23AI"],["Thu Sep 29 23:26:07 +0000 2016","gp_pulipaka","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","154","%27%40SAP+Seals+%40Altiscale+Deal.%27+%23BigData+%23DataScience+%23Hadoop+%23HaaS+%23SAPHANA+%23InMemoryComputing%E2%80%A6+https%3A%2F%2Ft.co%2Fhv3cmESlmg"],["Thu Sep 29 23:26:03 +0000 2016","theCUBE","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","Next+Gen+Analytics+Roundtable+on+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%408pathsolutions+%40joe_caserta+%40dvellante"],["Thu Sep 29 23:26:02 +0000 2016","gp_pulipaka","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","171","%27%40IBM+acquires+%40PromontoryFG%2C+bringing+%23CognitiveComputing.%27+%23BigData+%23MachineLearning+%23DataScience+%23AI+%23IBM%E2%80%A6+https%3A%2F%2Ft.co%2FM2nvJG7Dqm"],["Thu Sep 29 23:26:02 +0000 2016","gp_pulipaka","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","%23SparkText%3A+Biomedical+%23TextMining+on+%23BigData+Framework.+%23MachineLearning+%23DataScience+%23AI+%23HealthCare%E2%80%A6+https%3A%2F%2Ft.co%2FQntDyad2fK"],["Thu Sep 29 23:25:59 +0000 2016","DavidAmerland","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","104","%23Google+has+opened+%23MachineLearning+in+the+%23cloud+to+businesses%3A+https%3A%2F%2Ft.co%2FbGhXwWaCmB"],["Thu Sep 29 23:25:14 +0000 2016","efulet","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","170","RT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6"],["Thu Sep 29 23:25:02 +0000 2016","NEICS_Info","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+Collaborative+Filtering+Recommender+Systems%3A+Item-Based+approach%0Ahttps%3A%2F%2Ft.co%2F5ogCxStc7O+%23abdsc+%23DataScience+%23RecSys+%23Machi%E2%80%A6"],["Thu Sep 29 23:25:00 +0000 2016","rahulsaini07","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","149","RT+analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+https%3A%2F%2Ft.co%2Flbp8hD8AZQ+https%3A%2F%2Ft.co%2FJ9tTKkAtrh"],["Thu Sep 29 23:24:59 +0000 2016","theCUBE","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","165","Next+Gen+Analytics+Roundtable+on+%23theCUBE+%0Ahttps%3A%2F%2Ft.co%2FKeUGS9mrxL+%0A%23BigDataNYC+%23StrataHadoop+%23IBM%0A%40kdnuggets+%40YvesMulkers+%40craigbrownphd"],["Thu Sep 29 23:24:36 +0000 2016","AprilINFA","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 23:24:29 +0000 2016","kevinlum_mapr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","103","mapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Fls3CZNhu6C"],["Thu Sep 29 23:24:04 +0000 2016","alllsonwonders_","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40MikeTamir%3A+Quantum+Machine+Learning+-+Microsoft+Research+https%3A%2F%2Ft.co%2Fv9lzxJGDfB+%23MachineLearning+%23AI+%23DataScience+https%3A%2F%2Ft.co%2FnNcE0Fi%E2%80%A6"],["Thu Sep 29 23:23:50 +0000 2016","ExponentsUS","Compound 0.25 Negative 0.0 Neutral 0.9 Positive 0.1  ","168","RT+%40KineticaDB%3A+Come+see+us+%23Strataconf+booth133%2C+let%27s+talk+%23GPU+acceleration+and+the+future+of+advanced+analytics+%23StrataHadoop+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 23:23:39 +0000 2016","FabulousPowers","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","103","mapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Fi7j370hmN6"],["Thu Sep 29 23:23:37 +0000 2016","FabulousPowers","Compound 0.6037 Negative 0.0 Neutral 0.709 Positive 0.291  ","129","mapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FjWUQeTH8z0"],["Thu Sep 29 23:23:24 +0000 2016","tj_voros","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","103","mapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2F7Brt8HiiBf"],["Thu Sep 29 23:23:24 +0000 2016","tj_voros","Compound 0.6037 Negative 0.0 Neutral 0.709 Positive 0.291  ","129","mapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FmkPDujhIA0"],["Thu Sep 29 23:23:12 +0000 2016","mikkhait","Compound 0.8402 Negative 0.0 Neutral 0.636 Positive 0.364  ","165","RT+%40mitulmakadia%3A+Here+are+some+best+practices+for+a+successful+bot+development+project+https%3A%2F%2Ft.co%2FkT3x7LL8Qm+%23bots+%23AI+%23MachineLearning%E2%80%A6"],["Thu Sep 29 23:23:09 +0000 2016","orbreid51","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40dez_blanchfield%3A+%40thomaswdinsmore+%40robinbloor+%40eric_kavanagh+%40hadoop+-%0A%0Aand+when+they+do+catch+fire+they+jump+around+like+a+Maggot+on+a%E2%80%A6"],["Thu Sep 29 23:22:44 +0000 2016","w_epting","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","150","RT+%40INFA_BD%3A+Learn+to+turn+%23BigData+Into+Big+Value+With+Data+Lakes+https%3A%2F%2Ft.co%2F5obNYh9DfF+%40strataconf+https%3A%2F%2Ft.co%2F1OKhrNu58u"],["Thu Sep 29 23:22:09 +0000 2016","shikhar_sri","Compound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  ","170","RT+%40InsightBrief%3A+Cheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FMH580dfPyb+via+%40forbes+%40BernardMarr+%23bigda%E2%80%A6"],["Thu Sep 29 23:21:59 +0000 2016","pregazzoni","Compound 0.5472 Negative 0.0 Neutral 0.799 Positive 0.201  ","140","%E2%80%9CIBM+Big+SQL+%E2%80%94+HDP+Support+is+Here%21%E2%80%9D+by+Open+Source+Tech+Talks+https%3A%2F%2Ft.co%2F7HMc8c7pF2+%23bigsql+%23hadoop"],["Thu Sep 29 23:21:55 +0000 2016","duniacloud","Compound -0.4767 Negative 0.276 Neutral 0.603 Positive 0.121  ","150","Shape+Security+raises+%2440M+to+fight+cyber+attacks+with+machine+learning+-+SiliconANGLE+%28blog%29+https%3A%2F%2Ft.co%2Fj5whLpK0nt+%23machinelearning"],["Thu Sep 29 23:21:54 +0000 2016","jacswork","Compound 0.0516 Negative 0.13 Neutral 0.729 Positive 0.141  ","160","RT+%40siatogia%3A+An+interesting+generative+adversarial+approach+to+overcoming+the+%28labelled%29+data+bottleneck+in+%23deeplearning+%23MachineLearning%E2%80%A6"],["Thu Sep 29 23:21:10 +0000 2016","Melina_Kate","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","103","mapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2F2ZDnNdjtDV"],["Thu Sep 29 23:21:09 +0000 2016","Melina_Kate","Compound 0.6037 Negative 0.0 Neutral 0.709 Positive 0.291  ","129","mapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FyldR7j30qu"],["Thu Sep 29 23:20:58 +0000 2016","masazumi_koga","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","112","RT+%40mapr%3A+Check+out+our+own+%40Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Ff8p2TjTKrZ"],["Thu Sep 29 23:20:30 +0000 2016","StrataDirectory","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","Nu+Life+TV+Antenna+Service%0AFast+Efficient+Friendly+%23TV+%23Antennas%0A%23Sydney+%2B+surrounds%0A%23Strata%0Ahttps%3A%2F%2Ft.co%2FqzAxK8Wa8D+https%3A%2F%2Ft.co%2FImpY1mW3Y4"],["Thu Sep 29 23:20:28 +0000 2016","LookUpStrata","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","How+Do+New+NSW+Laws+Affect+Your+%23Strata+Management+Contracts%3F+%0A%40yourstrata++%2B+Natalie+Fitzgerald+%40stratasenseSyd++%0Ahttps%3A%2F%2Ft.co%2F4P98iJzmcz"],["Thu Sep 29 23:20:27 +0000 2016","NickRakhshani","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","Five+technologies+for+the+next+ten+years+%0A%23innovation+%23disrupt+%23Iot+%23mobile+%23drones+%23automation+%23AI+%23machinelearning+https%3A%2F%2Ft.co%2FgslIBHZRxC"],["Thu Sep 29 23:20:10 +0000 2016","mmarodia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40INFA_BD%3A+Simplification+without+Sacrifice%3A+Your+%23BigData+on+the+%23Cloud+https%3A%2F%2Ft.co%2FemkOtLUSPD+%23StrataHadoop+https%3A%2F%2Ft.co%2Fe507FQkPXD"],["Thu Sep 29 23:20:05 +0000 2016","_AndysCloud","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","%23Uber%E2%80%99s+case+for+incremental+processing+on+%23Hadoop.+%23BigData+%23DataScience+-+https%3A%2F%2Ft.co%2FCm3SisDY08+https%3A%2F%2Ft.co%2F9557OMBJPE"],["Thu Sep 29 23:20:02 +0000 2016","DevOpsSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 23:20:01 +0000 2016","OpenScienceCafe","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","121","%23PaperPerDay+reading+about+%23machinelearning+techniques+applied+to+detecting+supernova+https%3A%2F%2Ft.co%2FhtkzxFeZoG"],["Thu Sep 29 23:20:01 +0000 2016","odsc","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","166","RT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6"],["Thu Sep 29 23:19:59 +0000 2016","DevOpsSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0"],["Thu Sep 29 23:19:56 +0000 2016","DevOpsSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:19:54 +0000 2016","DevOpsSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","196","RT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6"],["Thu Sep 29 23:19:52 +0000 2016","InanimateAlice","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 23:19:49 +0000 2016","parikhash","Compound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  ","168","RT+%40INFA_BD%3A+%22Artificial+Intelligence+will+revolutionize+transportation%2C+%23healthcare+and+society.%22+-+%40JimMcHugh+%23StrataHadoop+%23AI+%23healthIT%E2%80%A6"],["Thu Sep 29 23:19:49 +0000 2016","odsc","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40MikeTamir%3A+Deep+Learning+Part+1%3A+Comparison+of+Symbolic+Deep+Learning+Frameworks+https%3A%2F%2Ft.co%2FapbnjZhpJ3+%23MachineLearning+%23AI+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 23:19:25 +0000 2016","ChrisSeminoff","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","103","mapr%3A+Check+out+our+own+Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Fnbnu3xblGh"],["Thu Sep 29 23:19:25 +0000 2016","ChrisSeminoff","Compound 0.6037 Negative 0.0 Neutral 0.709 Positive 0.291  ","129","mapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FzBA0B1190w"],["Thu Sep 29 23:19:24 +0000 2016","IoTJournal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 23:19:21 +0000 2016","michaelzeller","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40Zementis%3A+ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+https%3A%2F%2Ft.co%2FJAB27aSSGx+%23shifthappens+%23AWS%E2%80%A6"],["Thu Sep 29 23:19:21 +0000 2016","IoTJournal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0"],["Thu Sep 29 23:19:18 +0000 2016","michaelzeller","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40Zementis%3A+ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23Azure+%23cloud+https%3A%2F%2Ft.co%2FDjtm0bq9zB+%23%E2%80%A6"],["Thu Sep 29 23:19:18 +0000 2016","IoTJournal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:19:16 +0000 2016","IoTJournal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","196","RT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6"],["Thu Sep 29 23:19:14 +0000 2016","michaelzeller","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40Zementis%3A+ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23AWS+%23cloud+https%3A%2F%2Ft.co%2FguvcomffnP+%23sh%E2%80%A6"],["Thu Sep 29 23:19:13 +0000 2016","mapr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","98","Check+out+our+own+%40Norrisjack%27s+keynote+%27Decision+2016%21%27+https%3A%2F%2Ft.co%2Ff8p2TjTKrZ"],["Thu Sep 29 23:18:59 +0000 2016","tkrause17","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 23:18:56 +0000 2016","IoTJournal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 23:18:54 +0000 2016","classic_iot","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","Machine+Learning+%7C+%40CloudExpo+%23BigData+%23IoT+%23ML+%23MachineLearning+%7C+%40CloudExpo+https%3A%2F%2Ft.co%2Ftv52IGq89E+%23IoT+https%3A%2F%2Ft.co%2Fe5QjuOCBv2"],["Thu Sep 29 23:18:37 +0000 2016","kevinlum_mapr","Compound 0.6037 Negative 0.0 Neutral 0.709 Positive 0.291  ","129","mapr%3A+RT+strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FWWw6Tw0epy"],["Thu Sep 29 23:18:36 +0000 2016","scientistBob","Compound 0.5574 Negative 0.0 Neutral 0.816 Positive 0.184  ","166","RT+%40DataScienceDojo%3A+Fantastic+blog+on+the+various+technologies+that+can+be+developed+using+%23AI.+https%3A%2F%2Ft.co%2FeawzsFegGy+%23machinelearning+%40%E2%80%A6"],["Thu Sep 29 23:18:34 +0000 2016","gigabytemag","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 23:18:31 +0000 2016","SYSCONmedia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 23:18:28 +0000 2016","SYSCONmedia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0"],["Thu Sep 29 23:18:27 +0000 2016","mapr","Compound 0.6037 Negative 0.0 Neutral 0.69 Positive 0.31  ","124","RT+%40strataconf%3A+FYI+-+%23StrataHadoop+session+slides+shared+by+speakers+are+available+at+https%3A%2F%2Ft.co%2FnwuAJAuvUi"],["Thu Sep 29 23:18:17 +0000 2016","SunnyMenon","Compound 0.3182 Negative 0.0 Neutral 0.753 Positive 0.247  ","145","Social+media+tools+may+be+using+sentimental+analysis%3Bbehavioral+patterns+to+increase+user+activities.+%23MachineLearning+%23NLP+%23deeplearning"],["Thu Sep 29 23:18:04 +0000 2016","ThingsExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 23:18:01 +0000 2016","ThingsExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0"],["Thu Sep 29 23:17:58 +0000 2016","milo5714900","Compound -0.128 Negative 0.111 Neutral 0.889 Positive 0.0  ","144","Google+opens+up+its+machine+learning+tricks+to+all+-+Engadget+https%3A%2F%2Ft.co%2FyydiqhZaiA+%23machinelearning+https%3A%2F%2Ft.co%2FTo6M004ksN"],["Thu Sep 29 23:17:49 +0000 2016","BigDataExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 23:17:46 +0000 2016","BigDataExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0"],["Thu Sep 29 23:17:43 +0000 2016","Pari72","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","173","RT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+I%29+https%3A%2F%2Ft.co%2F8qcag7GGMF+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6"],["Thu Sep 29 23:17:42 +0000 2016","kljiggs","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","154","RT+%40cutting%3A+%22Every+data+science+training+program+must+include+ethics+%26amp%3B+security.%22+%40DJ44%2C+U.S.+Chief+Data+Scientist+at+%23StrataHadoop"],["Thu Sep 29 23:17:32 +0000 2016","itknowingness","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 23:17:31 +0000 2016","TheSiliconHill","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","RT+%40noyesk%3A+White+House+to+data+scientists%3A+We+need+you+https%3A%2F%2Ft.co%2FfH13FrlhIy+via+%40pcworld+%23datascience+%23bigdata+%23stratahadoop"],["Thu Sep 29 23:17:31 +0000 2016","CloudExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","186","%5Bsession%5D+Machine+Learning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23M2M+%23BigData+%23ML%E2%80%A6+https%3A%2F%2Ft.co%2FMw0JWFV4ba"],["Thu Sep 29 23:17:27 +0000 2016","GuduruRajagopal","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","170","RT+%40Informatica%3A+%223+keys+to+%40Informatica+success%3A+Early+innovation+in+%23cloud%2C+Ease-of-Use+and+Agility.%22+-+%40amit_walia+%23StrataHadoop+%23theCUB%E2%80%A6"],["Thu Sep 29 23:17:08 +0000 2016","luba5200","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","176","RT+%40KeithManthey%3A+The+end+approaches%E2%80%A6+of+Silo%27d+Data+Models%21+%23DataScience+%23BigData+%23Hadoop+https%3A%2F%2Ft.co%2FrIp9rss0lI+https%3A%2F%2Ft.co%2FH6pBepInRo"],["Thu Sep 29 23:16:58 +0000 2016","IrmaRaste","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","168","RT+%40glskrcom%3A+Google%27s+approach+to+improving+its+conversational+style.+%23AI+%23machinelearning+%23tech+%23analytics+%23digital+%23marketing+%23socialmed%E2%80%A6"],["Thu Sep 29 23:16:43 +0000 2016","infinitymittal","Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","174","RT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40GaryMarcus+explains+the+move+%22from+%23BigData+to+human-level+artificial+intelligence%22+%23AI+https%3A%2F%2Ft.co%2FE%E2%80%A6"],["Thu Sep 29 23:16:39 +0000 2016","ronnie_bora","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","147","RT+%40ImDataScientist%3A+RT+%40brakmic%3A+%23Microsoft+will+post+%23MachineLearning+tools+on+GitHub+next+week%0A%0A+https%3A%2F%2Ft.co%2FccrMNE0WTf"],["Thu Sep 29 23:16:38 +0000 2016","CloudExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40SoftwareHollis%3A+Microsoft+Is+Making+Big+Impact+with+Machine+Learning+%7C+%40CloudExpo+%23IoT+%23Cloud+%23MachineLearning+https%3A%2F%2Ft.co%2F8kieTdbKi0"],["Thu Sep 29 23:16:35 +0000 2016","NEICS_Info","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40KirkDBorne%3A+Build+a+basic+recommender+engine+using+R%3A+https%3A%2F%2Ft.co%2F9z5yfPjchh+%23abdsc+%23BigData+%23DataScience+%23RecSys+%23Rstats+%23MachineLear%E2%80%A6"],["Thu Sep 29 23:16:25 +0000 2016","SQLCrespi","Compound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  ","182","RT+%40gcosma1%3A+Industries%2C+Cortana+Intelligence%2C++Big+Data+%26amp%3B+Machine+Learning+in+the+Cloud%0A+https%3A%2F%2Ft.co%2FytFHujSZqd+%23DataScience+https%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 23:16:12 +0000 2016","freyduni","Compound 0.4767 Negative 0.0 Neutral 0.744 Positive 0.256  ","109","Popping+The+Bubble+Of+Artificial+Intelligence+In+Investing+https%3A%2F%2Ft.co%2Fl7yx1KjdDV+%23machinelearning"],["Thu Sep 29 23:16:10 +0000 2016","don_woerner","Compound 0.2263 Negative 0.0 Neutral 0.909 Positive 0.091  ","151","RT+%40SAPPartnerBuild%3A+SAP+HANA+Vora+is+a+new+in-memory+query+engine+that+leverages+the+Apache+Spark+execution+framework+to+provide+enriched%E2%80%A6"],["Thu Sep 29 23:16:09 +0000 2016","freyduni","Compound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  ","94","Artificial+Intelligence+to+Get+Tech+Nannies+https%3A%2F%2Ft.co%2FBAdJRjgwoG+%23machinelearning"],["Thu Sep 29 23:15:59 +0000 2016","HerndonDamien","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","152","RT+%40analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+https%3A%2F%2Ft.co%2FnqwdWYVC4r+https%3A%2F%2Ft.co%2F4WY7mFSYTT"],["Thu Sep 29 23:15:33 +0000 2016","JulienDriod","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","196","RT+%40Testing_Pro4u%3A+%23BigData+%23DevOps+%23DataCenter+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2F76YRTBZttI+%23BigData+%23IoT+%E2%80%A6+https%E2%80%A6"],["Thu Sep 29 23:15:32 +0000 2016","LookUpStrata","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","159","Living+in+%23Strata+%26amp%3B+not+sure+how+to+read+your+Gas+Meter%3F%0ACatherine+Lezer+tells+you+how%21%0Ahttps%3A%2F%2Ft.co%2FSB2mPlXWGx+%0A%23ApartmentLiving"],["Thu Sep 29 23:15:23 +0000 2016","SiliconArmada","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","125","Sr+Recommendation+Engineer+%40Scribd+San+Francisco+Headquarters+https%3A%2F%2Ft.co%2FybpRnZjV8w+%23Android+%23Hadoop+%23HBase"],["Thu Sep 29 23:15:23 +0000 2016","SanFran_TJobs","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","125","Sr+Recommendation+Engineer+%40Scribd+San+Francisco+Headquarters+https%3A%2F%2Ft.co%2FsQH0nrTKSQ+%23Android+%23Hadoop+%23HBase"],["Thu Sep 29 23:15:12 +0000 2016","pigbar","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40gcosma1%3A+Deep+learning+architecture+diagrams%0Ahttps%3A%2F%2Ft.co%2F8MLDvCDjWV+%23DataScience+%23deeplearning+%23MachineLearning+https%3A%2F%2Ft.co%2FEAdbJQowf8"],["Thu Sep 29 23:15:07 +0000 2016","kaz747","Compound 0.1431 Negative 0.0 Neutral 0.911 Positive 0.089  ","170","RT+%40MurdochUniNews%3A+%23MachineLearning+the+world%27s+most+in-demand+job%2C+tech+sphere+dominates+employer+needs+%E2%80%93+John+Wenborne%2C+LinkedIn+%23IRUSSF%E2%80%A6"],["Thu Sep 29 23:15:06 +0000 2016","BobWillcox","Compound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  ","182","RT+%40gcosma1%3A+Industries%2C+Cortana+Intelligence%2C++Big+Data+%26amp%3B+Machine+Learning+in+the+Cloud%0A+https%3A%2F%2Ft.co%2FytFHujSZqd+%23DataScience+https%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 23:15:00 +0000 2016","Absolutdata","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","157","The+bottom-up+%23analyticsmodel%3A+building+for+the+future+https%3A%2F%2Ft.co%2F0dzFaYoO49+%23BigData+%23BigData+%23analytics+%23IoT+%23AI+%23MachineLearning"],["Thu Sep 29 23:14:52 +0000 2016","odsc","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40gcosma1%3A+Deep+learning+architecture+diagrams%0Ahttps%3A%2F%2Ft.co%2F8MLDvCDjWV+%23DataScience+%23deeplearning+%23MachineLearning+https%3A%2F%2Ft.co%2FEAdbJQowf8"],["Thu Sep 29 23:14:44 +0000 2016","ThugMetrics","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","149","RT+%40NEICS_Info%3A+Vendors+Pile+on+%23BigData+News+at+%23Strata+-+Enterprise+Apps+Today+%23Analytics+%23DataAnalysis+https%3A%2F%2Ft.co%2FYlNEQOoyFm"],["Thu Sep 29 23:14:43 +0000 2016","MyahMcTear","Compound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  ","170","RT+%40InsightBrief%3A+Cheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FMH580dfPyb+via+%40forbes+%40BernardMarr+%23bigda%E2%80%A6"],["Thu Sep 29 23:14:40 +0000 2016","VVagias","Compound -0.128 Negative 0.103 Neutral 0.897 Positive 0.0  ","168","RT+%40JSHorwitz%3A+.%40ApacheSpark+Makers+Build+contest+showcasing+cutting+edge+applications.+%23DataFirst+%40IBM+%40ritika_gunnar++https%3A%2F%2Ft.co%2Fx4n6n5%E2%80%A6"],["Thu Sep 29 23:14:39 +0000 2016","odsc","Compound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  ","164","RT+%40Ronald_vanLoon%3A+Machine+learning%2C+IoT+and+big+data%3A+Retailers+need+to+embrace+latest+tech+or+fall+behind+%7C+%23MachineLearning+%23IoT+%23RT+ht%E2%80%A6"],["Thu Sep 29 23:14:39 +0000 2016","JSHorwitz","Compound -0.128 Negative 0.12 Neutral 0.88 Positive 0.0  ","144",".%40ApacheSpark+Makers+Build+contest+showcasing+cutting+edge+applications.+%23DataFirst+%40IBM+%40ritika_gunnar++https%3A%2F%2Ft.co%2Fx4n6n5fcUl"],["Thu Sep 29 23:14:38 +0000 2016","DesignSoftware4","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","193","%23BigData+%23IoT+%23M2M+%23RTC+%23Java+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2FEfaesPS6tx+SparkCognition+%23IoT+%23M2M+%23ML+%E2%80%A6"],["Thu Sep 29 23:14:38 +0000 2016","DesignSoftware4","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","194","%23BigData+%23IoT+%23M2M+%23RTC+%23Java+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2FEfaesPS6tx+%23BigData+%23IoT%E2%80%A6+https%3A%2F%2Ft.co%2FmIqgnXrO8N"],["Thu Sep 29 23:14:32 +0000 2016","natureaffect","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:14:31 +0000 2016","webjframework","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:14:21 +0000 2016","ChaseMcMichael","Compound 0.3182 Negative 0.0 Neutral 0.859 Positive 0.141  ","174","RT+%40infinigraph%3A+LIVE+7%3A00+PST+Tonight+for+Hacking+Video+via+%23deeplearning+a+%23MachineLearning+solution+%40+https%3A%2F%2Ft.co%2F0OrQG2HxQk+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 23:14:06 +0000 2016","SYSCONmedia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:14:05 +0000 2016","ANDRODYN","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:14:04 +0000 2016","Testing_Pro4u","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","191","%23BigData+%23DevOps+%23DataCenter+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2F76YRTBZttI+SparkCognition+%23IoT+%23M2M+%23ML+%23%E2%80%A6"],["Thu Sep 29 23:14:04 +0000 2016","Testing_Pro4u","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","%23BigData+%23DevOps+%23DataCenter+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2F76YRTBZttI+%23BigData+%23IoT+%E2%80%A6+https%3A%2F%2Ft.co%2FRDF8Gt1R7u"],["Thu Sep 29 23:14:02 +0000 2016","SYSCONmedia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","196","RT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6"],["Thu Sep 29 23:13:56 +0000 2016","matt_cassie","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 23:13:49 +0000 2016","ThingsExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:13:46 +0000 2016","ThingsExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","196","RT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6"],["Thu Sep 29 23:13:44 +0000 2016","danielcantorna","Compound 0.5574 Negative 0.0 Neutral 0.816 Positive 0.184  ","161","RT+DataScienceDojo%3A+Fantastic+blog+on+the+various+technologies+that+can+be+developed+using+%23AI.+https%3A%2F%2Ft.co%2FyXGklYpdIs+%23machinelearning+G%E2%80%A6"],["Thu Sep 29 23:13:36 +0000 2016","BigDataExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:13:32 +0000 2016","BigDataExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","196","RT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6"],["Thu Sep 29 23:13:25 +0000 2016","1_nate_1","Compound 0.8225 Negative 0.0 Neutral 0.714 Positive 0.286  ","137","Great+to+cap+off++%23StrataHadoop+conference+with+fascinating+session+on+how+AI+will+reshape+economy+sooner+than+we+think+by+%40dbeyer123"],["Thu Sep 29 23:13:21 +0000 2016","sunnyholt","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","158","Here%27s+story%2Fpic+of+%40NicParnell+and+Strata%2C+his+sliced+materials+for+tables%2Fwalls+https%3A%2F%2Ft.co%2FCdMZBpi05x+see+%40tent_london+during+%40L_D_F"],["Thu Sep 29 23:13:18 +0000 2016","ITCrowdsource","Compound 0.743 Negative 0.0 Neutral 0.704 Positive 0.296  ","162","RT+%40BroadPointGroup%3A+Senior+DevOps+Engineer+excellent+comp%2C+benefits%2C+culture+based+north+Lake+Union%2FFremont+Seattle+%23ai+%23machinelearning+h%E2%80%A6"],["Thu Sep 29 23:13:16 +0000 2016","itknowingness","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","190","RT+%40CloudExpo%3A+Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing+%23DigitalTra%E2%80%A6"],["Thu Sep 29 23:13:15 +0000 2016","CloudExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","189","Cognitive+Fingerprinting+%26amp%3B+%23MachineLearning+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%23BigData+%23IoT+%23M2M+%23ML+%23CognitiveComputing%E2%80%A6+https%3A%2F%2Ft.co%2Fmmekz4l9Fx"],["Thu Sep 29 23:13:15 +0000 2016","mynaturepics","Compound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  ","129","Cliff+along+the+Oregon+coast+clearly+showing+dozens+of+layers+of+rock+strata.++%23Oregon+%23coast+https%3A%2F%2Ft.co%2FO0N7yIT1q1"],["Thu Sep 29 23:13:14 +0000 2016","OregonPhotos","Compound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  ","129","Cliff+along+the+Oregon+coast+clearly+showing+dozens+of+layers+of+rock+strata.++%23Oregon+%23coast+https%3A%2F%2Ft.co%2F9vSWFQ4QKS"],["Thu Sep 29 23:12:59 +0000 2016","NEICS_Info","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","129","Vendors+Pile+on+%23BigData+News+at+%23Strata+-+Enterprise+Apps+Today+%23Analytics+%23DataAnalysis+https%3A%2F%2Ft.co%2FYlNEQOoyFm"],["Thu Sep 29 23:12:56 +0000 2016","jennyzenner","Compound 0.743 Negative 0.0 Neutral 0.704 Positive 0.296  ","162","RT+%40BroadPointGroup%3A+Senior+DevOps+Engineer+excellent+comp%2C+benefits%2C+culture+based+north+Lake+Union%2FFremont+Seattle+%23ai+%23machinelearning+h%E2%80%A6"],["Thu Sep 29 23:12:37 +0000 2016","BroadPointGroup","Compound 0.743 Negative 0.0 Neutral 0.674 Positive 0.326  ","158","Senior+DevOps+Engineer+excellent+comp%2C+benefits%2C+culture+based+north+Lake+Union%2FFremont+Seattle+%23ai+%23machinelearning+https%3A%2F%2Ft.co%2FBagg8FNgzO"],["Thu Sep 29 23:12:23 +0000 2016","CivicReactor","Compound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  ","219","RT+%40AndySchaul%3A+A+beautiful+portrayal+of+big+data%2C+graphs+%26amp%3B+%F0%9F%8C%BD%F0%9F%8C%BD%F0%9F%8C%BD+genetics+from+%40TimWilliate+%26amp%3B+%40emileifrem+at+%23StrataHadoop%3A+https%3A%2F%2Ft.co%2FdIv%E2%80%A6"],["Thu Sep 29 23:12:12 +0000 2016","ES_Informatica","Compound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  ","162","RT+%40parikhash%3A+what+it+takes+to+succeed+with+%23datalake+-+think+u+can+do+it+with++point+solutions+%2F+code+generators%3F+%40Informatica+%23StrataHad%E2%80%A6"],["Thu Sep 29 23:11:31 +0000 2016","parikhash","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40INFA_BD%3A+Tom+Reilly+and+James+Powell+discuss+how+Nielsen+partners+with+%40cloudera++on+%23Hadoop+in+the+%23cloud++at+%23StrataHadoop+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 23:11:26 +0000 2016","kahverengipixel","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40wiwer77%3A+The+%22%23Python+%23MachineLearning%22+%23book+code+repository+and+info+resource%0Ahttps%3A%2F%2Ft.co%2FlcNEAEBs5c%0A%23DataScience+%23BigData+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 23:11:22 +0000 2016","galiyawarrier","Compound 0.784 Negative 0.0 Neutral 0.504 Positive 0.496  ","65","Had+an+awesome+time+at+%23StrataHadoop%21+Thank+you+%40strataconf"],["Thu Sep 29 23:11:14 +0000 2016","bhart214","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","117","Two+Cultures%3A+Machine+Learning+and+Statistics+https%3A%2F%2Ft.co%2FM4X1JYOvcE%0A%0A%23MachineLearning+%23statistics"],["Thu Sep 29 23:11:10 +0000 2016","GilPress","Compound 0.5574 Negative 0.0 Neutral 0.816 Positive 0.184  ","166","RT+%40DataScienceDojo%3A+Fantastic+blog+on+the+various+technologies+that+can+be+developed+using+%23AI.+https%3A%2F%2Ft.co%2FeawzsFegGy+%23machinelearning+%40%E2%80%A6"],["Thu Sep 29 23:11:09 +0000 2016","don_woerner","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","148","RT+%40SAPInMemory%3A+Business+users+can+now+apply+agile+data+preparation+reducing+the+workload+on+IT+%23StrataHadoop+https%3A%2F%2Ft.co%2FDdOq6R68Ow"],["Thu Sep 29 23:11:05 +0000 2016","dustcloud_io","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40Zementis%3A+ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23Azure+%23cloud+https%3A%2F%2Ft.co%2FDjtm0bq9zB+%23%E2%80%A6"],["Thu Sep 29 23:10:54 +0000 2016","adrianco","Compound -0.3182 Negative 0.15 Neutral 0.85 Positive 0.0  ","150","RT+%40jtrnyc%3A+Malware+families+linked+by+their+faulty+compiler+fingerprints+%23datavis+%23StrataHadoop+%40Graphistry+https%3A%2F%2Ft.co%2F5LzIQYUNkp"],["Thu Sep 29 23:10:39 +0000 2016","SwatiTomar03","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","170","RT+%40Informatica%3A+%223+keys+to+%40Informatica+success%3A+Early+innovation+in+%23cloud%2C+Ease-of-Use+and+Agility.%22+-+%40amit_walia+%23StrataHadoop+%23theCUB%E2%80%A6"],["Thu Sep 29 23:10:21 +0000 2016","cloudfeednet","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","137","Microsoft+adds+security%2C+performance+to+its+Azure+HDInsight+to+make+Hadoop+-+CTR+Microsoft+announced...+https%3A%2F%2Ft.co%2FXkook8OIpM"],["Thu Sep 29 23:10:20 +0000 2016","SA_infra","Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","143","Business+Intelligence+Architect+New+York+NY+or+New+Jersey+NJ+%40teradata+Utica+NY+https%3A%2F%2Ft.co%2Fn3jJSxxcSE+%23analytics+%23ETL+%23Hadoop"],["Thu Sep 29 23:10:15 +0000 2016","AFontPerez","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","91","%23MachineLearning+%23Trends+and+the+Future+of+%23AI+%23KDN+https%3A%2F%2Ft.co%2FAQwBfgeomZ"],["Thu Sep 29 23:09:57 +0000 2016","paul_a_doig","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40Informatica%3A+%22You+must+empower+your+users+to+release+their+%23BigData+Super-Powers%21%22+-+Chad+Jennings%2C+Google+at+%23StrataHadoop+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 23:09:50 +0000 2016","fangjin","Compound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  ","164","RT+%40huitseeker%3A+Streaming+data+ingestion+through+special+purpose+RealTime+nodes+in+Druid%2C+explained+by+%40fangjin+at+%40strataconf+https%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 23:09:37 +0000 2016","msouthern9","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 23:09:31 +0000 2016","_steve3_","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40wiwer77%3A+The+%22%23Python+%23MachineLearning%22+%23book+code+repository+and+info+resource%0Ahttps%3A%2F%2Ft.co%2FlcNEAEBs5c%0A%23DataScience+%23BigData+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 23:09:22 +0000 2016","barrydauber","Compound 0.6884 Negative 0.0 Neutral 0.562 Positive 0.438  ","120","RT+%40ClouderaEvents%3A+Amazing+%23StrataHadoop%21%21%21+%40cloudera+%23workhardplayhard+https%3A%2F%2Ft.co%2FGTo5d9sy7i"],["Thu Sep 29 23:09:21 +0000 2016","Requety","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","158","%23BigDataAnalytics+Data+Analyst+%28Hive%2C+Hadoop%2C+Big+Data%29%3A+Determine+if+the+analytics+use+cases+tha...+https%3A%2F%2Ft.co%2F3jS8UU7EHs+%23HealthData"],["Thu Sep 29 23:09:21 +0000 2016","ITCrowdsource","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40wiwer77%3A+The+%22%23Python+%23MachineLearning%22+%23book+code+repository+and+info+resource%0Ahttps%3A%2F%2Ft.co%2FlcNEAEBs5c%0A%23DataScience+%23BigData+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 23:09:21 +0000 2016","VVagias","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40Requety%3A+%23BigDataAnalytics+Data+Analyst+%28Hive%2C+Hadoop%2C+Big+Data%29%3A+Determine+if+the+analytics+use+cases+tha...+https%3A%2F%2Ft.co%2F3jS8UU7EHs+%23%E2%80%A6"],["Thu Sep 29 23:09:03 +0000 2016","buildingAI","Compound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  ","174","RT+%40ptiongson%3A+The+latest+%23ArtificialIntelligence+Today%21+https%3A%2F%2Ft.co%2FZ6FbaAErxU+Thanks+to+%40McKennaMar+%40Dsdinter+%40jennannreed+%23ai+%23machinel%E2%80%A6"],["Thu Sep 29 23:08:56 +0000 2016","galiyawarrier","Compound 0.784 Negative 0.0 Neutral 0.504 Positive 0.496  ","67","Had+an+awesome+time+at+%23StrataHadoop%21+Thank+you+%40OReillyMedia"],["Thu Sep 29 23:08:47 +0000 2016","wiwer77","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40wiwer77%3A+The+%22%23Python+%23MachineLearning%22+%23book+code+repository+and+info+resource%0Ahttps%3A%2F%2Ft.co%2FlcNEAEBs5c%0A%23DataScience+%23BigData+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 23:08:21 +0000 2016","ptiongson","Compound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  ","153","The+latest+%23ArtificialIntelligence+Today%21+https%3A%2F%2Ft.co%2FZ6FbaAErxU+Thanks+to+%40McKennaMar+%40Dsdinter+%40jennannreed+%23ai+%23machinelearning"],["Thu Sep 29 23:08:07 +0000 2016","RoryBramwell","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40pythianpartners%3A+On+now+%40GCPBigData+Chad+Jennings+w%2F+%40NYTimes+taking+the+stage+-+big+news+about+BigQuery+%23StrataHadoop+https%3A%2F%2Ft.co%2FcuU%E2%80%A6"],["Thu Sep 29 23:08:01 +0000 2016","interUNFAO","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40MikeTamir%3A+Quantum+Machine+Learning+-+Microsoft+Research+https%3A%2F%2Ft.co%2Fv9lzxJGDfB+%23MachineLearning+%23AI+%23DataScience+https%3A%2F%2Ft.co%2FnNcE0Fi%E2%80%A6"],["Thu Sep 29 23:07:49 +0000 2016","itknowingness","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","196","RT+%40CloudExpo%3A+%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23Co%E2%80%A6"],["Thu Sep 29 23:07:48 +0000 2016","CloudExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","%5Bslides%5D+%23MachineLearning+%26amp%3B+Cognitive+Fingerprinting+%E2%96%B8+https%3A%2F%2Ft.co%2Fn6cYyAmWk9+%40SparkCognition+%23IoT+%23M2M+%23ML+%23API+%23Cloud+%23CognitiveComputing"],["Thu Sep 29 23:07:36 +0000 2016","Lee44","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","RT+%40noyesk%3A+White+House+to+data+scientists%3A+We+need+you+https%3A%2F%2Ft.co%2FfH13FrlhIy+via+%40pcworld+%23datascience+%23bigdata+%23stratahadoop"],["Thu Sep 29 23:07:26 +0000 2016","VVagias","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","117","RT+%40HKotadia%3A+Operationalizing+Hadoop%3A+Evolving+modern+application+architecture+https%3A%2F%2Ft.co%2FKR2HkrmO79"],["Thu Sep 29 23:07:26 +0000 2016","HKotadia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","99","Operationalizing+Hadoop%3A+Evolving+modern+application+architecture+https%3A%2F%2Ft.co%2FKR2HkrmO79"],["Thu Sep 29 23:07:20 +0000 2016","MarkZhangzhi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","42","come+on%21+https%3A%2F%2Ft.co%2FPjjczQabX2"],["Thu Sep 29 23:07:18 +0000 2016","Strata_Plus","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","Barangaroo+penthouse+to+test+%23Sydney+apartment+price.%0A%0A%23realestate+%23property+%23Strata+https%3A%2F%2Ft.co%2FQ0lkwx7ZhQ+https%3A%2F%2Ft.co%2FNuAhqUtnvy"],["Thu Sep 29 23:07:14 +0000 2016","netsecu","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","133","ENTERPRISEAPPSTODAY%3A+Vendors+Pile+on+Big+Data+News+at+Strata+-+Enterprise+Apps+Today%2C+https%3A%2F%2Ft.co%2FEMbZTneJy9+%23security"],["Thu Sep 29 23:07:03 +0000 2016","RobRe62","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","170","RT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6"],["Thu Sep 29 23:06:56 +0000 2016","saptak","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","175","RT+4everfusiongal%3A+TBT+1+yr+bday+of+Hortonworks+DataFlow%3A+Let%E2%80%99s+lookback+further+%E2%80%93+why+it+was+invented+in+the+1st+%E2%80%A6+https%3A%2F%2Ft.co%2F7vpqyH6YZX"],["Thu Sep 29 23:06:51 +0000 2016","wiwer77","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","139","RT+%40wiwer77%3A+%E2%80%9C%23MachineLearning+is+Fun%21%E2%80%9D+%0Aby+%40ageitgey+https%3A%2F%2Ft.co%2F60AWTAGeX5+%23BigData+%23DataScience"],["Thu Sep 29 23:06:03 +0000 2016","CormacNolan86","Compound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  ","162","RT+%40parikhash%3A+what+it+takes+to+succeed+with+%23datalake+-+think+u+can+do+it+with++point+solutions+%2F+code+generators%3F+%40Informatica+%23StrataHad%E2%80%A6"],["Thu Sep 29 23:06:02 +0000 2016","InsightBrief","Compound -0.4588 Negative 0.2 Neutral 0.8 Positive 0.0  ","171","Cheat+Sheet%3A+5+things+everyone+should+know+about+%23MachineLearning+https%3A%2F%2Ft.co%2FMH580dfPyb+via+%40forbes+%40BernardMarr%E2%80%A6+https%3A%2F%2Ft.co%2FQikxtJdxKI"],["Thu Sep 29 23:05:49 +0000 2016","RobRe62","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40KirkDBorne%3A+Build+a+basic+recommender+engine+using+R%3A+https%3A%2F%2Ft.co%2F9z5yfPjchh+%23abdsc+%23BigData+%23DataScience+%23RecSys+%23Rstats+%23MachineLear%E2%80%A6"],["Thu Sep 29 23:05:48 +0000 2016","RobRe62","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+Collaborative+Filtering+Recommender+Systems%3A+Item-Based+approach%0Ahttps%3A%2F%2Ft.co%2F5ogCxStc7O+%23abdsc+%23DataScience+%23RecSys+%23Machi%E2%80%A6"],["Thu Sep 29 23:05:47 +0000 2016","RobRe62","Compound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  ","180","RT+%40KirkDBorne%3A+%23Chatbots+and+Service+Industry+%E2%80%93+Towards+a+better+customer+experience%3A+https%3A%2F%2Ft.co%2FzAebIMuqWM+%23CX+%23CEM+%23MachineLearning+%23A%E2%80%A6"],["Thu Sep 29 23:05:36 +0000 2016","RobRe62","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40MikeTamir%3A+Quantum+Machine+Learning+-+Microsoft+Research+https%3A%2F%2Ft.co%2Fv9lzxJGDfB+%23MachineLearning+%23AI+%23DataScience+https%3A%2F%2Ft.co%2FnNcE0Fi%E2%80%A6"],["Thu Sep 29 23:05:35 +0000 2016","RobRe62","Compound -0.3612 Negative 0.217 Neutral 0.783 Positive 0.0  ","149","Adversarial+machine+learning+https%3A%2F%2Ft.co%2FFyncU2DZoQ+%23MachineLearning+%23AI+%23DataScience+https%3A%2F%2Ft.co%2FYDHiSW7d8T+via+%40MikeTamir"],["Thu Sep 29 23:05:27 +0000 2016","SalemaRice","Compound 0.8481 Negative 0.0 Neutral 0.594 Positive 0.406  ","122","Awesome+week+with+some+of+our+great+%40Allegis_Group+Big+Data+team...+%23StrataHadoop+2016+https%3A%2F%2Ft.co%2FKwoT7BgpIT"],["Thu Sep 29 23:05:11 +0000 2016","farashod","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","Intel%27s+Investment+In+FPGAs+To+Enable+Reconfigurable+Data+Centers+And+AI+Processing+Of+The+Future+https%3A%2F%2Ft.co%2FHuXCTrtmxY+%23MachineLearning"],["Thu Sep 29 23:05:11 +0000 2016","freyduni","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","Intel%27s+Investment+In+FPGAs+To+Enable+Reconfigurable+Data+Centers+And+AI+Processing+Of+The+Future+https%3A%2F%2Ft.co%2F5Czva56ILS+%23MachineLearning"],["Thu Sep 29 23:05:01 +0000 2016","SharePointSwiss","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","126","Cloud+Computing+Services+Providers+https%3A%2F%2Ft.co%2FHyhXccXhlN+%23MachineLearning+%23Azure+https%3A%2F%2Ft.co%2FF6HiBpVmkA"],["Thu Sep 29 23:04:52 +0000 2016","ChaseMcMichael","Compound 0.3182 Negative 0.0 Neutral 0.839 Positive 0.161  ","159","LIVE+7%3A00+PST+Tonight+for+Hacking+Video+via+%23deeplearning+a+%23MachineLearning+solution+%40+https%3A%2F%2Ft.co%2FCgsmbwkSHj+https%3A%2F%2Ft.co%2FVEgTA8T46f"],["Thu Sep 29 23:04:51 +0000 2016","DhruvaKumar","Compound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  ","180","RT+%40KirkDBorne%3A+%23Chatbots+and+Service+Industry+%E2%80%93+Towards+a+better+customer+experience%3A+https%3A%2F%2Ft.co%2FzAebIMuqWM+%23CX+%23CEM+%23MachineLearning+%23A%E2%80%A6"],["Thu Sep 29 23:04:44 +0000 2016","casual_chris","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","168","RT+%40strataconf%3A+Attending+%23StrataHadoop+NYC%3F+Prepare+with+free+Marketing+Data+Lake+Book+by+%40FranzAman+https%3A%2F%2Ft.co%2FQWEK0HkSIP+%23bigdata+http%E2%80%A6"],["Thu Sep 29 23:04:36 +0000 2016","wiwer77","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","151","RT+%40wiwer77%3A+This+week+in+%23AI+%26amp%3B+ML+%26amp%3B+%23Hacking+-+%2331+of+2016%0Ahttps%3A%2F%2Ft.co%2FSMVCKAnXpu%0A%23MachineLearning+%23BigData"],["Thu Sep 29 23:04:06 +0000 2016","vernonemrit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","148","RT+analyticbridge%3A+RT+analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+%E2%80%A6+https%3A%2F%2Ft.co%2FKYgi2svPjE"],["Thu Sep 29 23:04:05 +0000 2016","infinigraph","Compound 0.3182 Negative 0.0 Neutral 0.839 Positive 0.161  ","159","LIVE+7%3A00+PST+Tonight+for+Hacking+Video+via+%23deeplearning+a+%23MachineLearning+solution+%40+https%3A%2F%2Ft.co%2F0OrQG2HxQk+https%3A%2F%2Ft.co%2F2jDwdulku2"],["Thu Sep 29 23:04:00 +0000 2016","mikzorian","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 23:03:58 +0000 2016","WaynePullam","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","RT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos"],["Thu Sep 29 23:03:56 +0000 2016","machinelearnbot","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","173","RT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+I%29+https%3A%2F%2Ft.co%2F8qcag7GGMF+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6"],["Thu Sep 29 23:03:54 +0000 2016","renato_umeton","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","110","RT+%40kdnuggets%3A+%23MachineLearning+%23Trends+and+the+Future+of+%23AI+%23KDN+https%3A%2F%2Ft.co%2FgF1jd1oj6z"],["Thu Sep 29 23:03:53 +0000 2016","sebarmano","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40vijilent%3A+What+should+you+know+about+%23MachineLearning%3F+How+can+it+affect+%23LeadQualification+and+%23LeadScoring%3F+Read+more+here+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 23:03:47 +0000 2016","DBCorey","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","134","%27Experiences+and+Story%27%3A+PRH%27s+Dan+Franklin+on+%27Strata%27+of+Innovation+%23writing+%23author+https%3A%2F%2Ft.co%2FL0IYo5nHcr"],["Thu Sep 29 23:03:33 +0000 2016","wiwer77","Compound -0.296 Negative 0.306 Neutral 0.694 Positive 0.0  ","129","RT+%40wiwer77%3A+What%E2%80%99s+Missing+From+%23MachineLearning%0Ahttps%3A%2F%2Ft.co%2FzF0iNEPeo2+https%3A%2F%2Ft.co%2FYwDOE2QHLy"],["Thu Sep 29 23:03:28 +0000 2016","wiwer77","Compound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  ","162","RT+%40wiwer77%3A+Improve+Your+Content+Marketing+With+%23MachineLearning+Tools+%0Ahttps%3A%2F%2Ft.co%2FX0ebQiG14W+via+%40jeffbullas+https%3A%2F%2Ft.co%2FwxBaTP30ED"],["Thu Sep 29 23:03:26 +0000 2016","peeyush_ag","Compound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  ","143","RT+%40INFA_BD%3A+Tips+for+a+winning+%23BigData+proof+of+concept+https%3A%2F%2Ft.co%2F5YRrdWSHTk+%23StrataHadoop+https%3A%2F%2Ft.co%2FmQJRKsUADq"],["Thu Sep 29 23:03:26 +0000 2016","jakebenn","Compound 0.2263 Negative 0.0 Neutral 0.899 Positive 0.101  ","152","Apache+Spot+is+a+new+open+source+project+for+cybersecurity.+Uses+Hadoop+for+%23BigData+and+Spark+for+%23MachineLearning.+https%3A%2F%2Ft.co%2FR1E6KLZ6L4"],["Thu Sep 29 23:03:26 +0000 2016","deepika_nov9","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","RT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos"],["Thu Sep 29 23:03:14 +0000 2016","mobiahmad","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","154","RT+%40cutting%3A+%22Every+data+science+training+program+must+include+ethics+%26amp%3B+security.%22+%40DJ44%2C+U.S.+Chief+Data+Scientist+at+%23StrataHadoop"],["Thu Sep 29 23:03:09 +0000 2016","BobYelland","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40BernardMarr%3A+%23BigData%2C+%23AI+and+%23MachineLearning+Will+Disrupt+Everything%2C+Here+Are+3+Industries+That+Will+Be+Transformed+https%3A%2F%2Ft.co%2FAb%E2%80%A6"],["Thu Sep 29 23:02:57 +0000 2016","wiwer77","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","157","RT+%40wiwer77%3A+How+%23MachineLearning+is+redefining+%23SEO+and+%23GoogleSearch%21%3A+%0Ahttps%3A%2F%2Ft.co%2F32V6ZAkOSQ+-+via%3A%40think_bigdata+%23BigData"],["Thu Sep 29 23:02:49 +0000 2016","nojdreh","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","110","Limelight+Networks+is+hiring%21++Apply+now+for+the+position+of+Hadoop+Engineer+https%3A%2F%2Ft.co%2FhKywGBc6K5"],["Thu Sep 29 23:02:24 +0000 2016","BereanoPartners","Compound 0.4767 Negative 0.0 Neutral 0.819 Positive 0.181  ","152","RT+%40AkvelonInc%3A+Preparing+for+our+posthuman+future+of+Artificial+Intelligence.+%23AI+%23BI+%23Machinelearning+%23IoT+https%3A%2F%2Ft.co%2FHg7cSy3y1x"],["Thu Sep 29 23:02:07 +0000 2016","GTBlackEagle","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","152","RT+%40analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+https%3A%2F%2Ft.co%2FnqwdWYVC4r+https%3A%2F%2Ft.co%2F4WY7mFSYTT"],["Thu Sep 29 23:02:04 +0000 2016","kdnuggets","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","91","%23MachineLearning+%23Trends+and+the+Future+of+%23AI+%23KDN+https%3A%2F%2Ft.co%2FgF1jd1oj6z"],["Thu Sep 29 23:01:52 +0000 2016","DHuffmanKerins","Compound 0.0772 Negative 0.0 Neutral 0.86 Positive 0.14  ","164","Want+a+ride+in+an+Oracle+Tesla%3F+%23MSIgnite%2C+%23wdayrising+%26amp%3B+%23StrataHadoop+attendees%3A+Show+your+badge+to...%E2%80%A6+https%3A%2F%2Ft.co%2FBGOwHcHlAk"],["Thu Sep 29 23:01:45 +0000 2016","shakamunyi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","115","RT+%40topiclyapis%3A+4+new+%23apis+posts+about+%23machinelearning+%23husbystockholm+https%3A%2F%2Ft.co%2F9x7m6KBr2y"],["Thu Sep 29 23:01:45 +0000 2016","ajsondev","Compound 0.6115 Negative 0.0 Neutral 0.778 Positive 0.222  ","137","Most+excellent+that%27s+the+train+journey+sorted+for+all+next+week+%23dev+%23MachineLearning+%23education+https%3A%2F%2Ft.co%2FGvWSjKJIPB"],["Thu Sep 29 23:01:44 +0000 2016","mpyllan","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","149","A+%23NeuralNetwork+for+Machine+Translation%2C+at+Production+Scale+%7C+https%3A%2F%2Ft.co%2F6nbKROBHB5+%23NLP+%23MachineLearning+via+%40googleresearch"],["Thu Sep 29 23:01:38 +0000 2016","vikasjee","Compound 0.6369 Negative 0.0 Neutral 0.724 Positive 0.276  ","159","machinelearnbot%3A+RT+kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2FW9MnHtnV2y"],["Thu Sep 29 23:01:18 +0000 2016","Store_Club_Fan","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","156","%23Autograph+%23Stars+-+2016+Topps+Strata+Trea+Turner+auto+autograph+rookie+card+%2F125+Nationals%3A++%2422.9...+https%3A%2F%2Ft.co%2F4lFox7Us9q+%23Deals_US"],["Thu Sep 29 23:01:17 +0000 2016","INFA_BD","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","102","Deliver+Real-Time+Information+at+the+Speed+of+Business+https%3A%2F%2Ft.co%2FYZlkyR95Af+%23StrataHadoop"],["Thu Sep 29 23:01:16 +0000 2016","TowerBodyCorp","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","131","What+happens+if+a+general+meeting+motion+is+out+of+order%3F%0AFeel+free+to+ask+questions+on+Strata.+https%3A%2F%2Ft.co%2FAz5oOvwTNp"],["Thu Sep 29 23:01:13 +0000 2016","analyticbridge","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","152","RT+%40analyticbridge%3A+Training%3A+Introduction+to+%23MachineLearning+and+Data+Mining+-+https%3A%2F%2Ft.co%2FnqwdWYVC4r+https%3A%2F%2Ft.co%2F4WY7mFSYTT"],["Thu Sep 29 23:01:13 +0000 2016","dustcloud_io","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40Zementis%3A+ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23AWS+%23cloud+https%3A%2F%2Ft.co%2FguvcomffnP+%23sh%E2%80%A6"],["Thu Sep 29 23:01:07 +0000 2016","LookUpStrata","Compound -0.7579 Negative 0.52 Neutral 0.48 Positive 0.0  ","133","VIC%3A+%23Watergate%3A+Battle+is+over%2C+war+goes+on%0A%40Docklands_News+%23ShortTermLets+%23Strata%0Ahttps%3A%2F%2Ft.co%2FH9cx3r2O2A"],["Thu Sep 29 23:01:04 +0000 2016","clickmediauk","Compound 0.128 Negative 0.0 Neutral 0.815 Positive 0.185  ","132","RT+%40BigDataGear%3A+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2FiO3hovwI3E+%23BigData+%23Analytics+%23bigdata"],["Thu Sep 29 23:01:04 +0000 2016","VVagias","Compound 0.128 Negative 0.0 Neutral 0.815 Positive 0.185  ","132","RT+%40BigDataGear%3A+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2FiO3hovwI3E+%23BigData+%23Analytics+%23bigdata"],["Thu Sep 29 23:00:52 +0000 2016","Aricent","Compound 0.5413 Negative 0.0 Neutral 0.781 Positive 0.219  ","151","The+7+most+important+questions+to+answer+while+building+a+secure+%23BigData+platform.+Click+here+to+read+more+https%3A%2F%2Ft.co%2F7SoScpdQ2A+%23Hadoop"],["Thu Sep 29 23:00:52 +0000 2016","VVagias","Compound 0.5413 Negative 0.0 Neutral 0.791 Positive 0.209  ","162","RT+%40Aricent%3A+The+7+most+important+questions+to+answer+while+building+a+secure+%23BigData+platform.+Click+here+to+read+more+https%3A%2F%2Ft.co%2F7SoSc%E2%80%A6"],["Thu Sep 29 23:00:49 +0000 2016","AkvelonInc","Compound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  ","132","Preparing+for+our+posthuman+future+of+Artificial+Intelligence.+%23AI+%23BI+%23Machinelearning+%23IoT+https%3A%2F%2Ft.co%2FHg7cSy3y1x"],["Thu Sep 29 23:00:35 +0000 2016","BernardMarr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","148","%23BigData%2C+%23AI+and+%23MachineLearning+Will+Disrupt+Everything%2C+Here+Are+3+Industries+That+Will+Be+Transformed+https%3A%2F%2Ft.co%2FAbIfMpgE6f"],["Thu Sep 29 23:00:17 +0000 2016","SYSCONmedia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 23:00:11 +0000 2016","crguevar","Compound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  ","153","Shot+this+last+night+during+the+%23dataafterdark+event+in+%23NYC+%23stratahadoop+had+a+great+time+this+week+with%E2%80%A6+https%3A%2F%2Ft.co%2FP6pJ0NqCRD"],["Thu Sep 29 23:00:03 +0000 2016","IntelSWevents","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","165","%23Intel+CoFluent%3A+Predict+%26amp%3B+optimize+your+performance+prior+to+system+deployment.+https%3A%2F%2Ft.co%2F1c2MemuoJ0%E2%80%A6+https%3A%2F%2Ft.co%2FU8Z3BkZaR9"],["Thu Sep 29 22:59:59 +0000 2016","parikhash","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","131","RT+%40INFA_BD%3A+How+to+Run+a+%23BigData+POC+%E2%80%94+In+Six+Weeks+https%3A%2F%2Ft.co%2F76QPfM2iD5+%23stratahadoop+%23BigDataReady"],["Thu Sep 29 22:59:56 +0000 2016","wiwer77","Compound 0.0772 Negative 0.0 Neutral 0.874 Positive 0.126  ","135","RT+%40wiwer77%3A+What+developers+want+in+2016%3A+%23JavaScript%2C+%23AngularJS%2C+%23MachineLearning+%0Ahttps%3A%2F%2Ft.co%2FhFNPhc691M"],["Thu Sep 29 22:59:55 +0000 2016","DHenschen","Compound 0.5106 Negative 0.0 Neutral 0.837 Positive 0.163  ","162","RT+%40alex_woodie%3A+Where+%23BigData+meets+%23Virtual+Reality+--+IBM%27s+%40robdthomas+shows+impressive+demo+involving+%23AR+headsets+and+vizualizations%E2%80%A6"],["Thu Sep 29 22:59:28 +0000 2016","Tquesle","Compound 0.4588 Negative 0.0 Neutral 0.824 Positive 0.176  ","157","RT+%40DeepLearn007%3A+Apttus+Nets+%2488M%2C+Pushes+%23MachineLearning+With+New+Intelligent+Agent+%27Max%27+https%3A%2F%2Ft.co%2Fqlhyk4IOqg+via+%40domnicastro"],["Thu Sep 29 22:59:15 +0000 2016","gerogegomez","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","172","RT+%40Informatica%3A+VIDEO%3A+%40RonenSchwartz+on+%23theCUBE+shares+ways+to+%22make+data+work+in+real-world+use+cases%22+https%3A%2F%2Ft.co%2FQ57jNNRINL+%40stratac%E2%80%A6"],["Thu Sep 29 22:59:12 +0000 2016","kk_loke86","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","176","RT+%40ipfconline1%3A+40+Techniques+Used+by+Data+Scientists+%0Ahttps%3A%2F%2Ft.co%2F6JKvKDKAcc+via+%40DataScienceCtrl++%0A%5B%23DataScience+%23MachineLearning+%23AI+%23%E2%80%A6"],["Thu Sep 29 22:58:47 +0000 2016","CormacNolan86","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 22:58:45 +0000 2016","SmallBizResCafe","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","182","RT+%40FreedomFireCom%3A+%23BigData+Characteristics%2C+Technologies%2C+%26amp%3B+Opportunities+Explained+%7BVideo%7D+https%3A%2F%2Ft.co%2FFo7mnEZwxk+%23DataScience+%23Analyti%E2%80%A6"],["Thu Sep 29 22:58:31 +0000 2016","johnkoetsier","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","139","Google%E2%80%99s+Cloud+Machine+Learning+service+is+now+in+public+beta+https%3A%2F%2Ft.co%2FEnKQOfFCN5+%40fredericl+%0A%0A%23MachineLearning"],["Thu Sep 29 22:58:19 +0000 2016","rbiegacz","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","140","gool+collection+of+%22reader%27s+digest%22+books+on+data+from+o%27reilly+-+https%3A%2F%2Ft.co%2FcLo5Wgj4VT+%23DataScience+%23MachineLearning"],["Thu Sep 29 22:58:16 +0000 2016","SmallBizResCafe","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40FreedomFireCom%3A+The+Industrial+Internet+Of+Things+Is+Transforming+The+Business+World+https%3A%2F%2Ft.co%2FsmQBq120Cz+%23IIoT+%23MachineLearning+%23Io%E2%80%A6"],["Thu Sep 29 22:58:02 +0000 2016","Zementis","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23AWS+%23cloud+https%3A%2F%2Ft.co%2FguvcomffnP+%23shifthappens"],["Thu Sep 29 22:57:34 +0000 2016","4everfusiongal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%404everfusiongal%3A+TBT+1+yr+bday+of+Hortonworks+DataFlow%3A+Let%E2%80%99s+lookback+further+%E2%80%93+why+it+was+invented+in+the+1st+place%21+https%3A%2F%2Ft.co%2FfjZT%E2%80%A6"],["Thu Sep 29 22:57:30 +0000 2016","aM3zola","Compound 0.3612 Negative 0.0 Neutral 0.667 Positive 0.333  ","86","thank+you+%40Stanford+%23statistics+%23MachineLearning+https%3A%2F%2Ft.co%2Fq5uG4Ebmxq"],["Thu Sep 29 22:57:25 +0000 2016","BrynMagnitudeSW","Compound 0.7955 Negative 0.0 Neutral 0.706 Positive 0.294  ","121","There+are+a+lot+of+great+sessions+at+%23StrataHadoop+today%2C+which+one+are+you+most+excited+for%3F+Let+%40Mag_sw+know%21"],["Thu Sep 29 22:57:23 +0000 2016","analyticbridge","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","173","RT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+I%29+https%3A%2F%2Ft.co%2F8qcag7GGMF+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6"],["Thu Sep 29 22:57:11 +0000 2016","Zementis","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","157","ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+on+%23Azure+%23cloud+https%3A%2F%2Ft.co%2FDjtm0bq9zB+%23shifthappens"],["Thu Sep 29 22:57:06 +0000 2016","OttLegalRebels","Compound 0.6249 Negative 0.0 Neutral 0.709 Positive 0.291  ","129","RT+%40crguevar%3A+Awesome+experience+at+%23StrataHadoop+%23Data+%23BigData+%23MDM+%23CustomerData+https%3A%2F%2Ft.co%2FQ6UAMc0IdN"],["Thu Sep 29 22:56:55 +0000 2016","kjahanbakhsh","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","145","Start+Using+Machine+Learning+Algorithms+for+Serving+Digital+Ads+-+https%3A%2F%2Ft.co%2Fk2viA6d4ap+via+%40aioptify+%23machinelearning+%23marketing"],["Thu Sep 29 22:56:42 +0000 2016","nat_travis","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","173","RT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+I%29+https%3A%2F%2Ft.co%2F8qcag7GGMF+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6"],["Thu Sep 29 22:56:41 +0000 2016","AllRecipess","Compound 0.3182 Negative 0.0 Neutral 0.813 Positive 0.187  ","173","Please+RT+%23recipes+%23food+%23cooking+%23delicious+%23cook+%23recipe+Make-Ahead+Egg+%26amp%3B+Tomato+Strata+https%3A%2F%2Ft.co%2FbEBv1YJUyf+https%3A%2F%2Ft.co%2Fs0NoO0bdcG"],["Thu Sep 29 22:56:35 +0000 2016","ClouderaEvents","Compound 0.6884 Negative 0.0 Neutral 0.461 Positive 0.539  ","96","Amazing+%23StrataHadoop%21%21%21+%40cloudera+%23workhardplayhard+https%3A%2F%2Ft.co%2FGTo5d9sy7i"],["Thu Sep 29 22:56:15 +0000 2016","Gairhan_John","Compound 0.6249 Negative 0.0 Neutral 0.709 Positive 0.291  ","129","RT+%40crguevar%3A+Awesome+experience+at+%23StrataHadoop+%23Data+%23BigData+%23MDM+%23CustomerData+https%3A%2F%2Ft.co%2FQ6UAMc0IdN"],["Thu Sep 29 22:55:53 +0000 2016","TSanbui","Compound 0.4939 Negative 0.0 Neutral 0.775 Positive 0.225  ","116","Just+experienced+mixed+reality+with+Microsoft+Hololens+first+hand+at+%23StrataHadoop+https%3A%2F%2Ft.co%2FlyOQfRC9Ou"],["Thu Sep 29 22:55:44 +0000 2016","artintelmonitor","Compound 0.7424 Negative 0.0 Neutral 0.589 Positive 0.411  ","124","The+latest+Artificial+Intelligence+Monitor%21+https%3A%2F%2Ft.co%2FcJKUcEyquA+Thanks+to+%40hertling+%23ai+%23machinelearning"],["Thu Sep 29 22:55:43 +0000 2016","cox_elise","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 22:55:12 +0000 2016","VisionaryVanity","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40Informatica%3A+%22You+must+empower+your+users+to+release+their+%23BigData+Super-Powers%21%22+-+Chad+Jennings%2C+Google+at+%23StrataHadoop+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 22:55:06 +0000 2016","EnterpriseTek","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","77","%23SAP+closes+deal+for+%23Altiscale+%23Hadoop+https%3A%2F%2Ft.co%2FapnKOz2leg"],["Thu Sep 29 22:55:05 +0000 2016","DeepLearn007","Compound 0.4588 Negative 0.0 Neutral 0.8 Positive 0.2  ","135","Apttus+Nets+%2488M%2C+Pushes+%23MachineLearning+With+New+Intelligent+Agent+%27Max%27+https%3A%2F%2Ft.co%2Fqlhyk4IOqg+via+%40domnicastro"],["Thu Sep 29 22:54:40 +0000 2016","muzzaHK44","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 22:54:39 +0000 2016","VVagias","Compound 0.4329 Negative 0.0 Neutral 0.863 Positive 0.137  ","174","RT+%40tmj_den_it%3A+Can+you+recommend+anyone+for+this+%23job%3F+Big+Data+Architect+-+Hadoop+-+https%3A%2F%2Ft.co%2FCZz4Cv6YLN+%23IT+%23Englewood%2C+CO+%23Hiring+%23C%E2%80%A6"],["Thu Sep 29 22:54:24 +0000 2016","Zementis","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","161","ONE+common+platform+to+deploy+all+%23MachineLearning+%23AI+%23PredictiveAnalytics+models+https%3A%2F%2Ft.co%2FJAB27aSSGx+%23shifthappens+%23AWS+%23cloud+%23Azure"],["Thu Sep 29 22:54:03 +0000 2016","wiwer77","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","169","RT+%40wiwer77%3A+%23Machinelearning%3A+Of+prediction+and+policy+%0Ahttps%3A%2F%2Ft.co%2F2Cw2LyZwN8+via+%40TheEconomist%0A%23BigData+%23AI+https%3A%2F%2Ft.co%2FQ3DHMlKkPW"],["Thu Sep 29 22:53:57 +0000 2016","binaryloom","Compound 0.6249 Negative 0.0 Neutral 0.709 Positive 0.291  ","129","RT+%40crguevar%3A+Awesome+experience+at+%23StrataHadoop+%23Data+%23BigData+%23MDM+%23CustomerData+https%3A%2F%2Ft.co%2FQ6UAMc0IdN"],["Thu Sep 29 22:53:55 +0000 2016","wiwer77","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","152","RT+%40wiwer77%3A+%23Google%E2%80%99s+%23Cloud+%23MachineLearning+service+is+now+in+public%C2%A0beta+%0Ahttps%3A%2F%2Ft.co%2F8r1zHURlDf+via+%40techcrunch"],["Thu Sep 29 22:53:38 +0000 2016","RajashekharPI","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40JohnM_Haddad%3A+TD+Ameritrade+%23StrataHadoop+using+data+lakes+and+%40Informatica+for+activity+and+log+analysis+on+Web+site+https%3A%2F%2Ft.co%2FrB6N%E2%80%A6"],["Thu Sep 29 22:53:18 +0000 2016","deepika_nov9","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 22:53:08 +0000 2016","UKinfacareers","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","150","RT+%40INFA_BD%3A+Learn+to+turn+%23BigData+Into+Big+Value+With+Data+Lakes+https%3A%2F%2Ft.co%2F5obNYh9DfF+%40strataconf+https%3A%2F%2Ft.co%2F1OKhrNu58u"],["Thu Sep 29 22:52:58 +0000 2016","rajarishis","Compound -0.1779 Negative 0.172 Neutral 0.69 Positive 0.138  ","164","RT+%40samcharrington%3A+Using+machine+learning+to+identify+bad+actors.+Literal+interpretation+lol+by+%40hergertarian+%23strataconf+https%3A%2F%2Ft.co%2F2JR%E2%80%A6"],["Thu Sep 29 22:52:49 +0000 2016","SourceILS","Compound 0.5574 Negative 0.0 Neutral 0.705 Positive 0.295  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","187","RT++A+Randomized+Tensor+Singular+Value+Decomposition+...+-+https%3A%2F%2Ft.co%2FebNEUruTl3%C2%A0%E2%80%A6+%23machinelearning+%23IoT+%23AI%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2F9VSRIfyO2E"],["Thu Sep 29 22:52:12 +0000 2016","NarayanGupta","Compound 0.4926 Negative 0.0 Neutral 0.849 Positive 0.151  ","168","RT+%40DJ44%3A+Good+morning+%40strataconf+%21+We%27ll+be+live+shortly+talking+about+the+the+data+landscape+from+the+%40WhiteHouse+https%3A%2F%2Ft.co%2F4UqrvjKne%E2%80%A6"],["Thu Sep 29 22:52:07 +0000 2016","FintanINFA","Compound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  ","161","RT+%40parikhash%3A+yes+even+the+usher+knows+that+%23datalake+is+the+biggest+thing+at+%23StrataHadoop+%23strataconf+-+%40Informatica+industry%27s+1st+out%E2%80%A6"],["Thu Sep 29 22:51:59 +0000 2016","__iot__","Compound 0.4871 Negative 0.0 Neutral 0.835 Positive 0.165  ","176","RT+%40FreedomFireCom%3A+How+Big+Is+The+Opportunity+For+The+Industrial+%23InternetOfThings%3F+%7BVIDEO%7D+https%3A%2F%2Ft.co%2FOYJRULFTd8+%23IoT+%23IIoT+%23DevOps+%23Ma%E2%80%A6"],["Thu Sep 29 22:51:50 +0000 2016","topiclyapis","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","108","3+new+%23apis+posts+about+%23internationalhumanitarianlaw+%23machinelearning+https%3A%2F%2Ft.co%2F77RL7iARxK"],["Thu Sep 29 22:51:48 +0000 2016","renato_umeton","Compound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  ","182","RT+%40gcosma1%3A+Industries%2C+Cortana+Intelligence%2C++Big+Data+%26amp%3B+Machine+Learning+in+the+Cloud%0A+https%3A%2F%2Ft.co%2FytFHujSZqd+%23DataScience+https%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 22:51:38 +0000 2016","lheritier","Compound -0.296 Negative 0.115 Neutral 0.885 Positive 0.0  ","142","There+is+no+database+that+scales+enough+to+store+all+the+database+names+I+heard+at+%23StrataHadoop+%F0%9F%A4%92%23BigData+%23AlphaIsTheNewBeta"],["Thu Sep 29 22:51:05 +0000 2016","vukovinski","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:50:49 +0000 2016","David__Howard","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","130","%23BigData+Dispatch+is+out%21+https%3A%2F%2Ft.co%2F8LjW3iv09w+%23BigData+stories+via+%40strataconf+%40N3N_IoT+%23bigdata+%23opines"],["Thu Sep 29 22:50:40 +0000 2016","topiclyapis","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","94","4+new+%23apis+posts+about+%23machinelearning+%23husbystockholm+https%3A%2F%2Ft.co%2F9x7m6KBr2y"],["Thu Sep 29 22:50:31 +0000 2016","dev_courses","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","146","Get+up+to+85%25+off+all+Udemy+online+courses+today%2C+inc.+%23hadoop+%26amp%3B+%23java+courses+--+use+https%3A%2F%2Ft.co%2Fdb2zTI3sZj+for+discount"],["Thu Sep 29 22:50:26 +0000 2016","gcosma1","Compound 0.4767 Negative 0.0 Neutral 0.617 Positive 0.383  ","169","Industries%2C+Cortana+Intelligence%2C++Big+Data+%26amp%3B+Machine+Learning+in+the+Cloud%0A+https%3A%2F%2Ft.co%2FytFHujSZqd+%23DataScience+https%3A%2F%2Ft.co%2FHmb4izu80p"],["Thu Sep 29 22:50:26 +0000 2016","flacomenoide","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","154","RT+%40cutting%3A+%22Every+data+science+training+program+must+include+ethics+%26amp%3B+security.%22+%40DJ44%2C+U.S.+Chief+Data+Scientist+at+%23StrataHadoop"],["Thu Sep 29 22:50:13 +0000 2016","infinitymittal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","RT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos"],["Thu Sep 29 22:50:00 +0000 2016","EventXray","Compound 0.4939 Negative 0.0 Neutral 0.61 Positive 0.39  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","120","RT+%40freyduni%3A+Microsoft+sharpens+AI+focus+with+new+research+group+https%3A%2F%2Ft.co%2FFmFb7b68cq+%23machinelearning"],["Thu Sep 29 22:49:41 +0000 2016","shakamunyi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","120","RT+%40freyduni%3A+Microsoft+sharpens+AI+focus+with+new+research+group+https%3A%2F%2Ft.co%2FgcZiFcQeR7+%23machinelearning"],["Thu Sep 29 22:49:39 +0000 2016","SardaNimitt","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40INFA_BD%3A+Answer+Marketing%27s+simplest+questions+with+rock-hard+data+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2F3NgJ3N5y%E2%80%A6"],["Thu Sep 29 22:49:39 +0000 2016","SardaNimitt","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","RT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos"],["Thu Sep 29 22:49:39 +0000 2016","SardaNimitt","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","172","RT+%40Informatica%3A+VIDEO%3A+%40RonenSchwartz+on+%23theCUBE+shares+ways+to+%22make+data+work+in+real-world+use+cases%22+https%3A%2F%2Ft.co%2FQ57jNNRINL+%40stratac%E2%80%A6"],["Thu Sep 29 22:49:39 +0000 2016","SardaNimitt","Compound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  ","143","RT+%40INFA_BD%3A+Tips+for+a+winning+%23BigData+proof+of+concept+https%3A%2F%2Ft.co%2F5YRrdWSHTk+%23StrataHadoop+https%3A%2F%2Ft.co%2FmQJRKsUADq"],["Thu Sep 29 22:49:28 +0000 2016","peeyush_ag","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40hornpolish+talks+about+how+SAS+is+%22more+open+than+you+might+think%22+++%23opensource+%23bigdata+%23hadoop+http%E2%80%A6"],["Thu Sep 29 22:49:00 +0000 2016","philipanast","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","143","RT+%40BernardMarr%3A+How+%23MachineLearning%2C+%23BigData+And+%23AI+Are+Changing+%23Healthcare+Forever+-+Forbes+https%3A%2F%2Ft.co%2FoA5mhk9FDN"],["Thu Sep 29 22:48:58 +0000 2016","mletaillandier","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","170","RT+%40Informatica%3A+%223+keys+to+%40Informatica+success%3A+Early+innovation+in+%23cloud%2C+Ease-of-Use+and+Agility.%22+-+%40amit_walia+%23StrataHadoop+%23theCUB%E2%80%A6"],["Thu Sep 29 22:48:25 +0000 2016","gunjanthesystem","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40cogmission%3A+What+is+Hierarchical+Temporal+Memory%3F+%0ABaranski+%28%40Numenta+VP+of+Eng%29+Interview%21%0Ahttps%3A%2F%2Ft.co%2FbGcAWxYqwO%0A%40Events_AI+%23machine%E2%80%A6"],["Thu Sep 29 22:48:15 +0000 2016","Madenza_","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  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Sep 29 22:47:38 +0000 2016","WalesBuzz","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","172","RT+%40abunchofdata%3A+A+Randomized+Tensor+Singular+Value+Decomposition+...+-+https%3A%2F%2Ft.co%2Frcb0xWY4cV+%23machinelearning+%23IoT+%23AI+%23BigData+https%3A%2F%E2%80%A6"],["Thu Sep 29 22:47:37 +0000 2016","rajrknec","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","172","RT+%40Informatica%3A+VIDEO%3A+%40RonenSchwartz+on+%23theCUBE+shares+ways+to+%22make+data+work+in+real-world+use+cases%22+https%3A%2F%2Ft.co%2FQ57jNNRINL+%40stratac%E2%80%A6"],["Thu Sep 29 22:47:08 +0000 2016","Oreg0nStateBB","Compound 0.25 Negative 0.153 Neutral 0.644 Positive 0.203  ","162","RT+%40ewjirvine%3A+Great+perspective%3A+What+Companies+Get+Wrong+around+%23machinelearning+via+%40jeffjohnroberts+https%3A%2F%2Ft.co%2FNXxVPvQlFU+%23ai+%23bigdata"],["Thu Sep 29 22:47:00 +0000 2016","spare5","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  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+0000 2016","HAL_9000_AI","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","172","RT+%40abunchofdata%3A+A+Randomized+Tensor+Singular+Value+Decomposition+...+-+https%3A%2F%2Ft.co%2Frcb0xWY4cV+%23machinelearning+%23IoT+%23AI+%23BigData+https%3A%2F%E2%80%A6"],["Thu Sep 29 22:45:53 +0000 2016","abunchofdata","Compound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  ","161","A+Randomized+Tensor+Singular+Value+Decomposition+...+-+https%3A%2F%2Ft.co%2Frcb0xWY4cV+%23machinelearning+%23IoT+%23AI+%23BigData+https%3A%2F%2Ft.co%2FnRW4or5svH"],["Thu Sep 29 22:45:42 +0000 2016","CreechRonald","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","149","%40054durin+looking+at+strata%2C+bones%3F+What+about+the+ones+not+under+tons+of+rock%0AAsk+this%2C+why+has+not+one+skeletal+remain+not+been+C14+dated"],["Thu Sep 29 22:45:34 +0000 2016","agoodric","Compound 0.8481 Negative 0.0 Neutral 0.461 Positive 0.539  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","144","%40harropj+essentially+if+you+own+a+condo+in+Canada%2C+the+building+rules+%26amp%3B+common+spaces+are+governed+by+a+strata+of+overzealous+owners"],["Thu Sep 29 22:45:14 +0000 2016","milo5714900","Compound -0.4767 Negative 0.291 Neutral 0.582 Positive 0.127  ","140","Shape+Security+raises+%2440M+to+fight+cyber+attacks+with+machine+learning+-+SiliconANGLE+%28blog%29%E2%80%A6+https%3A%2F%2Ft.co%2FUMdwVuqIpR"],["Thu Sep 29 22:45:08 +0000 2016","fayobiSegun","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40machinelearnbot%3A+Ask%2C+Measure%2C+Learn%3A+Using+Social+Media+Analytics+To+Understand+And+Influenc+here++https%3A%2F%2Ft.co%2FzEoY2IhuSh+%23machinelea%E2%80%A6"],["Thu Sep 29 22:45:03 +0000 2016","nschaetti","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","153","Bonial+lance+Botnial%2C+le+1er+%23robot+des+promos+sur+FB+Messenger.+%23robotic+%23machinelearning+%23AI+%23IA+%23BigData+https%3A%2F%2Ft.co%2FdaCOvl9aM9"],["Thu Sep 29 22:44:44 +0000 2016","EverythingOzark","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","149","At+Eastgate+Park+today%2C+Strata+Solar+had+a+celebration+for+achieving+the+first+milestone+on+the+project+ahead+of...+https%3A%2F%2Ft.co%2FuKxTcdd8i4"],["Thu Sep 29 22:44:25 +0000 2016","R_W_US","Compound 0.5574 Negative 0.0 Neutral 0.662 Positive 0.338  ","125","I+found+incredible+talent+in+the+fine+city+of+%23SanFrancisco+https%3A%2F%2Ft.co%2FqPVUeikKgC+https%3A%2F%2Ft.co%2FOJYHWUG8DE"],["Thu Sep 29 22:44:22 +0000 2016","evarobotics","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","176","RT+%40nikhilk%3A+Cloud+Machine+Learning%2C+TensorFlow-as-a-Service%2C+now+available%21+%23machinelearning+%23cloud+%23tensorflow+%23bigdata+%23google%0Ahttps%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:44:00 +0000 2016","lisagualtieri","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  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29 22:43:06 +0000 2016","topiclyiot","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40FreedomFireCom%3A+The+Internet+Of+Things+Architecture+%26amp%3B+Protocols+Explained+%7BVIDEO%7D+https%3A%2F%2Ft.co%2Fm84BxcGlo3+%23IoT+%23DevOps+%23MachineLearning%E2%80%A6"],["Thu Sep 29 22:43:05 +0000 2016","KBlake1007","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","147","RT+%40ImDataScientist%3A+RT+%40brakmic%3A+%23Microsoft+will+post+%23MachineLearning+tools+on+GitHub+next+week%0A%0A+https%3A%2F%2Ft.co%2FccrMNE0WTf"],["Thu Sep 29 22:43:01 +0000 2016","eprado_melo","Compound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  ","138","RT+%40farashod%3A+Microsoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2Fau8JDrr0Af+%23MachineLearning"],["Thu Sep 29 22:42:38 +0000 2016","harropj","Compound 0.413 Negative 0.103 Neutral 0.719 Positive 0.178  ","108","%40nicoleBans+I+am+familiar+with+the+idea+of+strata+as+a+concept%2C+but+not+sure+of+it+in+this+context.+%3AP"],["Thu Sep 29 22:42:32 +0000 2016","SmallBizResCafe","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40FreedomFireCom%3A+The+Internet+Of+Things+Architecture+%26amp%3B+Protocols+Explained+%7BVIDEO%7D+https%3A%2F%2Ft.co%2Fm84BxcGlo3+%23IoT+%23DevOps+%23MachineLearning%E2%80%A6"],["Thu Sep 29 22:42:07 +0000 2016","freyduni","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","102","Microsoft+sharpens+AI+focus+with+new+research+group+https%3A%2F%2Ft.co%2FgcZiFcQeR7+%23machinelearning"],["Thu Sep 29 22:42:06 +0000 2016","freyduni","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","102","Microsoft+sharpens+AI+focus+with+new+research+group+https%3A%2F%2Ft.co%2FFmFb7b68cq+%23machinelearning"],["Thu Sep 29 22:42:01 +0000 2016","RohitAkiwatkar","Compound 0.4404 Negative 0.0 Neutral 0.805 Positive 0.195  ","159","How+a+good+Chatbot+should+behave%3F+https%3A%2F%2Ft.co%2FivPwND3naW+%23chatbots+%23AI+%23bots+%23IoT+%23tech+%23MachineLearning+https%3A%2F%2Ft.co%2FARIwnH4O4A"],["Thu Sep 29 22:41:39 +0000 2016","shakamunyi","Compound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  ","138","RT+%40freyduni%3A+Microsoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2FjvlKclhEoO+%23MachineLearning"],["Thu Sep 29 22:41:39 +0000 2016","shakamunyi","Compound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  ","138","RT+%40farashod%3A+Microsoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2Fau8JDrr0Af+%23MachineLearning"],["Thu Sep 29 22:41:38 +0000 2016","SL_Robotics","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","186","RT+%40RelearnML%3A+M2M+and+%23MachineLearning+%7C+%40ThingsExpo+%23IoT+%23M2M+%23IIoT+%23API+%23BigData+https%3A%2F%2Ft.co%2FGFTAh0L6At++%23machinelearning+https%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 22:41:16 +0000 2016","jhw1tte","Compound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  ","176","RT+%40evankirstel%3A+Google+swallows+11%2C000+novels+to+improve+AI%27s+conversation+https%3A%2F%2Ft.co%2FxhV8PFNLAq+%23AI+%23MachineLearning+https%3A%2F%2Ft.co%2FVrDC7%E2%80%A6"],["Thu Sep 29 22:41:15 +0000 2016","SteevanSaldana","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 22:41:08 +0000 2016","sharifkhalladi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","134","10+Ways+to+Get+Data+From+the+Web%3A+Code%2C+Tools%2C+%26amp%3B+Data+Sets+https%3A%2F%2Ft.co%2FWohYEh3hCf+%23bigdata+%23machinelearning"],["Thu Sep 29 22:41:00 +0000 2016","BertLatamore","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","166","RT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6"],["Thu Sep 29 22:40:49 +0000 2016","ImDataScientist","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","122","RT+%40brakmic%3A+%23Microsoft+will+post+%23MachineLearning+tools+on+GitHub+next+week%0A%0A+https%3A%2F%2Ft.co%2FccrMNE0WTf"],["Thu Sep 29 22:40:35 +0000 2016","chris_n_vinegar","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","96","Google+Cloud+Machine+Learning+in+Beta+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FtbvpcPDIHK"],["Thu Sep 29 22:40:34 +0000 2016","chris_n_vinegar","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","99","Udacity%27s+Open+Source+Self-Driving+Car+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FRMc1T6zZHD"],["Thu Sep 29 22:40:21 +0000 2016","marcusfborba","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","166","RT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6"],["Thu Sep 29 22:40:19 +0000 2016","bisgit_iov","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","166","RT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6"],["Thu Sep 29 22:40:18 +0000 2016","SA_infra","Compound 0.4767 Negative 0.0 Neutral 0.819 Positive 0.181  ","145","Business+Intelligence+BI+Architect+Los+Angeles+Irvine+CA+%40teradata+California+USA+https%3A%2F%2Ft.co%2FeNANn7ghrf+%23analytics+%23ETL+%23Hadoop"],["Thu Sep 29 22:40:13 +0000 2016","txscooterd","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40Informatica%3A+%22You+must+empower+your+users+to+release+their+%23BigData+Super-Powers%21%22+-+Chad+Jennings%2C+Google+at+%23StrataHadoop+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 22:40:08 +0000 2016","10xArmy","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40gp_pulipaka%3A+%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience+%0A%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 22:40:05 +0000 2016","romeodigital","Compound 0.4404 Negative 0.0 Neutral 0.698 Positive 0.302  ","107","Google%2C+Facebook%2C+Amazon+join+forces+on+future+of+AI+https%3A%2F%2Ft.co%2FrCLTytyzZr+%23machinelearning"],["Thu Sep 29 22:39:44 +0000 2016","10xArmy","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","166","RT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6"],["Thu Sep 29 22:39:38 +0000 2016","BereanoPartners","Compound 0.3485 Negative 0.0 Neutral 0.852 Positive 0.148  ","192","RT+%40MarutiTech%3A+Chat+Bots+Aren%E2%80%99t+a+Fad.+They%E2%80%99re+a+Revolution+https%3A%2F%2Ft.co%2F3Mi0uuLxLi+%23chatbots+%23AI+%23MachineLearning+%23tech+%23IoT+https%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 22:39:35 +0000 2016","lefep","Compound 0.4767 Negative 0.0 Neutral 0.853 Positive 0.147  ","164","RT+%40ibrahimjackson%3A+%23LEFTour+%23MachineLearning+at+%40google+with+%40lefep+study+tour+attendees.+%22Machine+intelligence+is+the+rocket.+%23Data+is+th%E2%80%A6"],["Thu Sep 29 22:39:33 +0000 2016","DrAndyPardoe","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","185","RT+%40innova_scape%3A+RT++Nevertheless%2C+%23ai+and+%23MachineLearning+are+becoming+more+prevalent+on+Wall+Street.+https%3A%2F%2Ft.co%2FVMhSl4S1X4%C2%A0%E2%80%A6+https%3A%2F%2F%E2%80%A6"],["Thu Sep 29 22:39:09 +0000 2016","AchimGrosshans","Compound 0.1139 Negative 0.0 Neutral 0.922 Positive 0.078  ","168","RT+%40strataconf%3A+Don%27t+miss+%40Asurion+%23StrataHadoop+NYC+session+on+rapid+%23analytics+ROI+via+data+lake+management+https%3A%2F%2Ft.co%2F4JPbWkgTff+http%E2%80%A6"],["Thu Sep 29 22:39:01 +0000 2016","MarutiTech","Compound 0.3094 Negative 0.0 Neutral 0.842 Positive 0.158  ","176","Chat+Bots+Aren%E2%80%99t+a+Fad.+They%E2%80%99re+a+Revolution+https%3A%2F%2Ft.co%2F3Mi0uuLxLi+%23chatbots+%23AI+%23MachineLearning+%23tech+%23IoT+https%3A%2F%2Ft.co%2FfwIAQKbSco"],["Thu Sep 29 22:38:23 +0000 2016","gkirch2028","Compound 0.2263 Negative 0.0 Neutral 0.826 Positive 0.174  ","180","RT+%40JSchroedl%3A+With+%40BlueData%2C+enterprises+can+%22Dockerize%22+Hadoop%2C+Spark%2C+%26amp%3B+other+%23bigdata+analytics+tools+%28via+%40tapbluedata+at+%23stratahado%E2%80%A6"],["Thu Sep 29 22:38:22 +0000 2016","rondagdag","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","96","Google+Cloud+Machine+Learning+in+Beta+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FMtUuTAsc2Z"],["Thu Sep 29 22:38:21 +0000 2016","rondagdag","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","99","Udacity%27s+Open+Source+Self-Driving+Car+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2F3ciII1yuie"],["Thu Sep 29 22:37:57 +0000 2016","JaneParrish","Compound -0.4215 Negative 0.227 Neutral 0.661 Positive 0.112  ","164","RT+%40GuruculFed%3A+Consumers+to+be+more+informed.++Read%3A+How+%23machinelearning+can+help+fight+off+cyber+attacks+via+%40FortuneMagazine+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 22:37:52 +0000 2016","SmallBizResCafe","Compound 0.4871 Negative 0.0 Neutral 0.835 Positive 0.165  ","176","RT+%40FreedomFireCom%3A+How+Big+Is+The+Opportunity+For+The+Industrial+%23InternetOfThings%3F+%7BVIDEO%7D+https%3A%2F%2Ft.co%2FOYJRULFTd8+%23IoT+%23IIoT+%23DevOps+%23Ma%E2%80%A6"],["Thu Sep 29 22:37:29 +0000 2016","JaneParrish","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  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","156","Here+are+some+best+practices+for+a+successful+bot+development+project+https%3A%2F%2Ft.co%2FkT3x7LL8Qm+%23bots+%23AI%E2%80%A6+https%3A%2F%2Ft.co%2FlkDaxVntbt"],["Thu Sep 29 22:35:51 +0000 2016","machinelearnbot","Compound 0.6369 Negative 0.0 Neutral 0.704 Positive 0.296  ","143","RT+%40kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2Fs7HfISRJMi"],["Thu Sep 29 22:35:49 +0000 2016","BereanoPartners","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","166","RT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6"],["Thu Sep 29 22:35:36 +0000 2016","CIOdinners","Compound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  ","143","RT+%40INFA_BD%3A+Tips+for+a+winning+%23BigData+proof+of+concept+https%3A%2F%2Ft.co%2F5YRrdWSHTk+%23StrataHadoop+https%3A%2F%2Ft.co%2FmQJRKsUADq"],["Thu Sep 29 22:35:36 +0000 2016","ismailozer59","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 22:35:23 +0000 2016","venati","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40Informatica%3A+%22You+must+empower+your+users+to+release+their+%23BigData+Super-Powers%21%22+-+Chad+Jennings%2C+Google+at+%23StrataHadoop+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 22:35:14 +0000 2016","nojdreh","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","117","I%27m+hiring%21++Apply+now+for+the+position+of+Hadoop+Engineer+at+Limelight+Networks.+https%3A%2F%2Ft.co%2F3PLLQaaHcQ"],["Thu Sep 29 22:35:12 +0000 2016","Kevin_Jackson","Compound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  ","126","RT+%40data_nerd%3A+%40Kevin_Jackson+Thank+you+so+much+Kevin%2C+we+think+you+rock++%F0%9F%98%80%40babettetenhaken+%40strataconf"],["Thu Sep 29 22:34:59 +0000 2016","RAYYAN557","Compound 0.296 Negative 0.131 Neutral 0.654 Positive 0.215  ","162","RT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40Lynnovermann+shares+the+need+to+use+%23DataSciencea+to+transform+the+US+criminal+justice+system.++%23DataD%E2%80%A6"],["Thu Sep 29 22:34:58 +0000 2016","BobYelland","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","166","RT+%40marcusborba%3A+Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23Machi%E2%80%A6"],["Thu Sep 29 22:34:58 +0000 2016","OpenSkyNetwork","Compound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  ","174","RT+%40ContinuumIO%3A+%23StrataHadoop+-+see+demos+at+booth+325%2C+like+this+%23dataviz+of+%23Datashader+%26amp%3B+%23GeoViews+via+%23Anaconda+-+viz+1GB+of+%40OpenSkyN%E2%80%A6"],["Thu Sep 29 22:34:42 +0000 2016","BertLatamore","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","179","RT+%40JeffFrick%3A+.+%40ab_hi_++%26gt%3BAlways+bringing+the+energy...+Love+it%21%0A%40tresata+%40theCUBE+%40strataconf+%23BigDataNYC+%23StrataHadoop+%23BigDataWeek+%23AdW%E2%80%A6"],["Thu Sep 29 22:34:29 +0000 2016","deesank","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","RT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos"],["Thu Sep 29 22:34:29 +0000 2016","ahmedAlamiFr","Compound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  ","164","RT+%40Ronald_vanLoon%3A+Machine+learning%2C+IoT+and+big+data%3A+Retailers+need+to+embrace+latest+tech+or+fall+behind+%7C+%23MachineLearning+%23IoT+%23RT+ht%E2%80%A6"],["Thu Sep 29 22:34:28 +0000 2016","ahmedAlamiFr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","186","RT+%40KirkDBorne%3A+How+%23BigData+%26amp%3B+the+%23IoT+Create+%23SmartCities%3A+https%3A%2F%2Ft.co%2FTlelSAh03Z+%23abdsc+%23Analytics+%23DataScience+%23MachineLearning+%23AI+ht%E2%80%A6"],["Thu Sep 29 22:34:28 +0000 2016","ahmedAlamiFr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40KirkDBorne%3A+Using+%23DataScience+and+%23MachineLearning+to+Revolutionize+360%C2%B0+Customer+Views%3A+https%3A%2F%2Ft.co%2F5Eiko3A0OE+%23BigData+%23CX+by+%40caro%E2%80%A6"],["Thu Sep 29 22:34:27 +0000 2016","VVagias","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40elaineism%3A+.%40SAP%27s+Acquisition+of+%40Altiscale%3A+It%27s+About+%23NextGen+%23Apps+Not+Big+Data+https%3A%2F%2Ft.co%2FiGNXjHbTvw+by+%40holgermu+%23Hadoop+%23Anal%E2%80%A6"],["Thu Sep 29 22:34:26 +0000 2016","elaineism","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","156",".%40SAP%27s+Acquisition+of+%40Altiscale%3A+It%27s+About+%23NextGen+%23Apps+Not+Big+Data+https%3A%2F%2Ft.co%2FiGNXjHbTvw+by+%40holgermu+%23Hadoop+%23Analysis"],["Thu Sep 29 22:34:23 +0000 2016","PomBuzz","Compound -0.3595 Negative 0.135 Neutral 0.865 Positive 0.0  ","172","RT+%40noordinaryco%3A+You+Too+Can+Become+a+Machine+Learning+Rock+Star%21+No+PhD+Necessary.+https%3A%2F%2Ft.co%2FcTFfzix7NS+%23AI+%23machinelearning+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:34:23 +0000 2016","PomBuzz","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40gp_pulipaka%3A+%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience+%0A%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 22:34:22 +0000 2016","PomBuzz","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","172","RT+%40dataandme%3A+Great+intro+series%3A+%22Model+evaluation%2C+model+selection%2C+and+algorithm+selection+in+%23MachineLearning+%22+by+%40rasbt+https%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 22:34:08 +0000 2016","gklimol","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40dez_blanchfield%3A+%40thomaswdinsmore+%40robinbloor+%40eric_kavanagh+%40hadoop+-%0A%0Aand+when+they+do+catch+fire+they+jump+around+like+a+Maggot+on+a%E2%80%A6"],["Thu Sep 29 22:34:02 +0000 2016","richardblogger","Compound 0.3818 Negative 0.16 Neutral 0.55 Positive 0.29  ","110","Good+idea.+Much+better+than+Tim+Kelsey%27s+arrogant+%22all+you+data+is+ours%22+https%3A%2F%2Ft.co%2FsURWmwbF3e"],["Thu Sep 29 22:33:50 +0000 2016","rnella01","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","172","RT+%40dataandme%3A+Great+intro+series%3A+%22Model+evaluation%2C+model+selection%2C+and+algorithm+selection+in+%23MachineLearning+%22+by+%40rasbt+https%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 22:33:33 +0000 2016","blockstrataCC","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","102","Apartment+giant+Meriton+selling+its+strata+business+https%3A%2F%2Ft.co%2FhsVadfZSY4+via+%40Domaincomau"],["Thu Sep 29 22:33:19 +0000 2016","maafreire","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","RT+%40v_vashishta%3A+How+neuromorphic+%E2%80%98brain+chips%E2%80%99+will+begin+the+next+era+in+computing+https%3A%2F%2Ft.co%2FNUSIJVQ4la+%23MachineLearning"],["Thu Sep 29 22:33:17 +0000 2016","sumaninfa","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","170","RT+%40Informatica%3A+%223+keys+to+%40Informatica+success%3A+Early+innovation+in+%23cloud%2C+Ease-of-Use+and+Agility.%22+-+%40amit_walia+%23StrataHadoop+%23theCUB%E2%80%A6"],["Thu Sep 29 22:33:07 +0000 2016","RAYYAN557","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","162","RT+%40JohnM_Haddad%3A+TD+Ameritrade+%23StrataHadoop+has+4+zones+in+the+data+lake%3A+landing%2C+exploratory+analytics%2C+adv+analytics%2C+app+access+https%E2%80%A6"],["Thu Sep 29 22:33:00 +0000 2016","SJFinne71","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","152","Google+cloud+machine+learning+service+goes+into+public+beta%3A+Google%27s+Cloud+Machine+Lear...+https%3A%2F%2Ft.co%2FftX8BUCRyf+%23ML+%23machinelearning"],["Thu Sep 29 22:33:00 +0000 2016","SJFinne71","Compound 0.5574 Negative 0.0 Neutral 0.777 Positive 0.223  ","156","Alexa%2C+Talk+Some+Sense%2C+Will+You%3F%3A+...+a+time+when+significant+progress+is+being+made+in...+https%3A%2F%2Ft.co%2FK2JuGr6MMG+%23ML+%23machinelearning"],["Thu Sep 29 22:32:36 +0000 2016","jeff_weintraub","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","Full+resolution+image+compression+model+released+by+%40googleresearch+on+%23TensorFlow+%F0%9F%99%8C+%23MachineLearning+https%3A%2F%2Ft.co%2FwHlWtJucBf"],["Thu Sep 29 22:32:02 +0000 2016","DevOpsSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 22:31:50 +0000 2016","marcusborba","Compound 0.4767 Negative 0.0 Neutral 0.829 Positive 0.171  ","146","Machine+intelligence+is+the+next+step+in+the+evolution+of+machine+learning+https%3A%2F%2Ft.co%2FhQwYIftbux+%23DataScience+%23AI+%23MachineLearning"],["Thu Sep 29 22:31:49 +0000 2016","GeradSimon","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","144","Google+unleashes+deep+learning+tech+on+language+with+Neural+Machine+Translation.+https%3A%2F%2Ft.co%2FC6B25HikTn+%2F%2F+%23AI+%23machineLearning"],["Thu Sep 29 22:31:39 +0000 2016","saphcp","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","129","RT+%40ErichSap%3A+We+will+run+%23Hadoop+for+you+%2B+%23VORA+%40SAPInMemory+%40saphcp+%40Altiscale+https%3A%2F%2Ft.co%2FLXFyko1qaF"],["Thu Sep 29 22:31:37 +0000 2016","cpringle1","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","93","Senior+Java+Engineer+w%2FHadoop%2C+Principal+Recruiting+Group+https%3A%2F%2Ft.co%2FiqODzDDYuV"],["Thu Sep 29 22:31:24 +0000 2016","ThingsExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 22:31:24 +0000 2016","FmFrancoise","Compound 0.3296 Negative 0.097 Neutral 0.747 Positive 0.156  ","176","RT+%40yochum%3A+Strata+%2B+Hadoop+2016+%E2%80%A6+Digital+transformation%2C+big+data+and+Hadoop%21%3A+There+is+no+better+venue+than+S...+https%3A%2F%2Ft.co%2F71UBUVbiQJ%E2%80%A6"],["Thu Sep 29 22:31:19 +0000 2016","Aut0_Marketing","Compound 0.25 Negative 0.161 Neutral 0.625 Positive 0.214  ","138","%23Data+%23Analytics+RT+ewjirvine%3A+Great+perspective%3A+What+Companies+Get+Wrong+around+%23machinelearning+via+jeffjohnroberts+%E2%80%A6"],["Thu Sep 29 22:31:06 +0000 2016","CornerHub","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","%40MikeJGalvin+%40noodleCEO+%40NoodleAI+%40strataconf+have+you+heard+of+%23partnershiponai%3F+https%3A%2F%2Ft.co%2F128N46RbkV+-Kirsten+%23artificialintelligence"],["Thu Sep 29 22:31:01 +0000 2016","noordinaryco","Compound -0.3595 Negative 0.151 Neutral 0.849 Positive 0.0  ","157","You+Too+Can+Become+a+Machine+Learning+Rock+Star%21+No+PhD+Necessary.+https%3A%2F%2Ft.co%2FcTFfzix7NS+%23AI+%23machinelearning+https%3A%2F%2Ft.co%2FIzELYGZPdu"],["Thu Sep 29 22:30:48 +0000 2016","VVagias","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","157","RT+%40ZRJobs07%3A+Principal+Recruiting+Group+is+%23hiring+Senior+Java+Engineer+w%2FHadoop+https%3A%2F%2Ft.co%2FtbjN4SdVZD+%23jobs+%23RedwoodCity+%23Developer"],["Thu Sep 29 22:30:48 +0000 2016","ZRJobs07","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","139","Principal+Recruiting+Group+is+%23hiring+Senior+Java+Engineer+w%2FHadoop+https%3A%2F%2Ft.co%2FtbjN4SdVZD+%23jobs+%23RedwoodCity+%23Developer"],["Thu Sep 29 22:30:46 +0000 2016","DeputyTod","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","128","RT+%40INFA_BD%3A+Collaboratively+find%2C+prepare%2C+and+govern+data+for+analysis+https%3A%2F%2Ft.co%2Fgop5I5lJnF+%23StrataHadoop"],["Thu Sep 29 22:30:45 +0000 2016","TowerBodyCorp","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","134","How+Do+You+Do+A+Strata+Search+And+Can+You+Do+It+Yourself.%0AFeel+free+to+ask+me+questions+on+Strata%21+https%3A%2F%2Ft.co%2F9fynhgy0O8"],["Thu Sep 29 22:30:35 +0000 2016","BigDataExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 22:30:14 +0000 2016","colbytylerford","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","96","Google+Cloud+Machine+Learning+in+Beta+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FKnR43WctWq"],["Thu Sep 29 22:30:10 +0000 2016","roens","Compound 0.7506 Negative 0.0 Neutral 0.758 Positive 0.242  ","162","RT+%40mipsytipsy%3A+oh+yeah%2C+strata+continues+to+be+the+best+fucking+db+backups+tool+I%27ve+seen+in+a+world+of+cumbersome+wretchedness+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 22:30:08 +0000 2016","AutographsHut","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","154","Baseball+Autographs+DAVID+WRIGHT+2016+TOPPS+STRATA+ON+CARD+AUTO+AUTOGRAPH%2FJERSEY+%2370%2F75+METS%3A++%2429.99End+Date...+https%3A%2F%2Ft.co%2FJLd5P8UcE1"],["Thu Sep 29 22:30:06 +0000 2016","gurkanwal_kalsi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","89","%23Hadoop+and+the+%23Government%3A+Do+they+go+together%3F+https%3A%2F%2Ft.co%2FfNYucngaUv"],["Thu Sep 29 22:30:02 +0000 2016","dataproblems","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40isanuage%3A+Evaluate+%23BigData+technologies+in+less+than+a+week+with+%40Talend+Big+Data+Sandbox+https%3A%2F%2Ft.co%2Fciv9cLQZWt+%23StrataHadoop+https%3A%E2%80%A6"],["Thu Sep 29 22:29:58 +0000 2016","CloudExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 22:29:44 +0000 2016","DanMihalache007","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 22:29:39 +0000 2016","isanuage","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","157","Evaluate+%23BigData+technologies+in+less+than+a+week+with+%40Talend+Big+Data+Sandbox+https%3A%2F%2Ft.co%2Fciv9cLQZWt%E2%80%A6+https%3A%2F%2Ft.co%2FACTvE4wJbv"],["Thu Sep 29 22:29:27 +0000 2016","dmenningervr","Compound 0.7906 Negative 0.0 Neutral 0.563 Positive 0.438  ","96","That%27s+a+wrap.+Thanks+%40OReillyMedia+for+putting+on+another+great+%23StrataHadoop+conference."],["Thu Sep 29 22:29:26 +0000 2016","AutographsHut","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","103","COREY+KLUBER+2015+TOPPS+STRATA+SHADOWBOX+ON+CARD+AUTO+AUTOGRAPH+INDIANS+https%3A%2F%2Ft.co%2FkiMjG1TaCX"],["Thu Sep 29 22:29:26 +0000 2016","AutographsHut","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","110","DAVID+WRIGHT+2016+TOPPS+STRATA+ON+CARD+AUTO+AUTOGRAPH%2FJERSEY+%2370%2F75+METS+https%3A%2F%2Ft.co%2FzwFNa2dO1m"],["Thu Sep 29 22:29:23 +0000 2016","ThingsExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40DevopsG%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 22:28:49 +0000 2016","DevopsG","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML+https%3A%2F%2Ft.co%2FwcUP8euzSx++%23devops+https%3A%2F%2Ft.co%2FpQsiOz5CUT"],["Thu Sep 29 22:28:01 +0000 2016","VVagias","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40Themes_Net%3A+Flume+Vs+Apache+Nifi+-+which+one+to+choose%3A+Flume+Vs+Nifi+which+one+to+choose+log+data+ingestion+into+Hadoop....+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 22:28:00 +0000 2016","Themes_Net","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","146","Flume+Vs+Apache+Nifi+-+which+one+to+choose%3A+Flume+Vs+Nifi+which+one+to+choose+log+data+ingestion+into+Hadoop....+https%3A%2F%2Ft.co%2FjcZw1A5c3o"],["Thu Sep 29 22:27:32 +0000 2016","liu_tanq","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40gp_pulipaka%3A+%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience+%0A%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 22:27:29 +0000 2016","renato_umeton","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40gcosma1%3A+Deep+learning+architecture+diagrams%0Ahttps%3A%2F%2Ft.co%2F8MLDvCDjWV+%23DataScience+%23deeplearning+%23MachineLearning+https%3A%2F%2Ft.co%2FEAdbJQowf8"],["Thu Sep 29 22:27:22 +0000 2016","gs_sely","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40JethroData%3A+Real-Time+%23BusinessIntelligence+on+%23Hadoop+is+possible.+Learn+the+architecture+that+makes+this+possible.%0Ahttps%3A%2F%2Ft.co%2FUu9Cs%E2%80%A6"],["Thu Sep 29 22:27:16 +0000 2016","stefanbertschi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40jbenno%3A+%22Personalization+is+usally+not+something+that+is+done+by+users%2C+but+with+users.+That%27s+why+it+often+feels+creepy.%22+%40smwat+%23Stra%E2%80%A6"],["Thu Sep 29 22:27:11 +0000 2016","infoplicity","Compound 0.25 Negative 0.153 Neutral 0.644 Positive 0.203  ","162","RT+%40ewjirvine%3A+Great+perspective%3A+What+Companies+Get+Wrong+around+%23machinelearning+via+%40jeffjohnroberts+https%3A%2F%2Ft.co%2FNXxVPvQlFU+%23ai+%23bigdata"],["Thu Sep 29 22:26:18 +0000 2016","DeepSingularity","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40gp_pulipaka%3A+%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience+%0A%0Ahttps%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 22:26:14 +0000 2016","donal_d2","Compound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  ","162","RT+%40parikhash%3A+what+it+takes+to+succeed+with+%23datalake+-+think+u+can+do+it+with++point+solutions+%2F+code+generators%3F+%40Informatica+%23StrataHad%E2%80%A6"],["Thu Sep 29 22:26:06 +0000 2016","Mooredvdcoll","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40marcusborba%3A+How+to+build+a+robot+that+%E2%80%9Csees%E2%80%9D+with+%24100+and+TensorFlow+https%3A%2F%2Ft.co%2FbaoJ4qLUkm+%23DataScience+%23DeepLearning+%23MachineLearn%E2%80%A6"],["Thu Sep 29 22:26:01 +0000 2016","gp_pulipaka","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","163","%27%40Microsoft+Dives+Deeper+Into+%23AI+With+New+AI+And+%23Research+Group.%27+%23BigData+%23MachineLearning+%23DataScience%E2%80%A6+https%3A%2F%2Ft.co%2F7KJt1cvzqc"],["Thu Sep 29 22:26:00 +0000 2016","JulienGiever","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","148","The+Watson-based+cloud+service+integrates+various+data+types+and+applies+%23AI+to+decision+making+https%3A%2F%2Ft.co%2Fq9uFspRT9c+%23machinelearning"],["Thu Sep 29 22:25:59 +0000 2016","MicroservicesE","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:25:58 +0000 2016","sbarrett1114","Compound 0.1531 Negative 0.092 Neutral 0.789 Positive 0.118  ","162","RT+%40ankurt%3A+%40rimmanehme+%23StrataHadoop+from+India+to+Tacoma+WA+Predictive+Models++help+predict+drop+out+rates+using+%40Azure+%40IT_UWT+%40UWStrong%E2%80%A6"],["Thu Sep 29 22:25:54 +0000 2016","SubhakaraM","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40INFA_BD%3A+Tom+Reilly+and+James+Powell+discuss+how+Nielsen+partners+with+%40cloudera++on+%23Hadoop+in+the+%23cloud++at+%23StrataHadoop+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 22:25:33 +0000 2016","botdirectorynet","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","115","Google+Cloud+Machine+Learning+in+Beta+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2Ff94i5KfpUN+%23machinelearning"],["Thu Sep 29 22:25:33 +0000 2016","botdirectorynet","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","118","Udacity%27s+Open+Source+Self-Driving+Car+via+%2Fr%2FMachineLearning+https%3A%2F%2Ft.co%2FCvc4m6nt99+%23machinelearning"],["Thu Sep 29 22:25:31 +0000 2016","MicroservicesE","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:25:22 +0000 2016","GangesNguyendon","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40ContinuumIO%3A+%23StrataHadoop+-+see+datashader+in+action+at+Booth+325+-+US+Census+%23data+shows+racial+breakdown+of+%23NYC%2C+visualized+w%2F+%23Ana%E2%80%A6"],["Thu Sep 29 22:24:57 +0000 2016","binaryloom","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:24:52 +0000 2016","MicroservicesE","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:24:47 +0000 2016","BuzzSaffa","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:24:43 +0000 2016","dawnahukanna","Compound -0.2732 Negative 0.117 Neutral 0.81 Positive 0.073  ","160","RT+%40ri_cook%3A+The+real+world+is+an+edge+case.+The+mean+and+median+are+meaningless.+Everything+important+is+in+the+variance.+https%3A%2F%2Ft.co%2FpMV%E2%80%A6"],["Thu Sep 29 22:24:43 +0000 2016","MicroservicesE","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:24:41 +0000 2016","time4ticking","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","176","RT+%40JustDoBig%3A+%23MachineLearning%2C+%23AI+and+%23BigData+are+set+to+transform+the+healthcare+industry+forever.+Here%27s+how%3A+%28via+%40forbes%29++https%3A%2F%2F%E2%80%A6"],["Thu Sep 29 22:24:38 +0000 2016","miguelmalvarez","Compound 0.8519 Negative 0.0 Neutral 0.583 Positive 0.417  ","166","RT+%40chaudhry_sm%3A+Special+thanks+%40marcobonzanini+for+gr8+tak+at+%40python_london+%23meetup+on+%23NLP+%23ML+%23NaturalLanguageProcessing+%23MachineLearni%E2%80%A6"],["Thu Sep 29 22:24:19 +0000 2016","lhanly_mdm","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","172","RT+%40Informatica%3A+VIDEO%3A+%40RonenSchwartz+on+%23theCUBE+shares+ways+to+%22make+data+work+in+real-world+use+cases%22+https%3A%2F%2Ft.co%2FQ57jNNRINL+%40stratac%E2%80%A6"],["Thu Sep 29 22:24:18 +0000 2016","alyssa09","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","129","RT+%40SAPInMemory%3A+LIVE+on+%23Periscope%3A+Why+SAP+%2B+%40Altiscale+makes+sense+%23StrataHadoop+https%3A%2F%2Ft.co%2Fpdd8bc9T3o"],["Thu Sep 29 22:24:16 +0000 2016","Print3DExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:23:57 +0000 2016","UWStrongSchool","Compound 0.1531 Negative 0.092 Neutral 0.789 Positive 0.118  ","162","RT+%40ankurt%3A+%40rimmanehme+%23StrataHadoop+from+India+to+Tacoma+WA+Predictive+Models++help+predict+drop+out+rates+using+%40Azure+%40IT_UWT+%40UWStrong%E2%80%A6"],["Thu Sep 29 22:23:48 +0000 2016","Print3DExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:23:11 +0000 2016","DamianoMe","Compound -0.6597 Negative 0.306 Neutral 0.694 Positive 0.0  ","136","Bono+Invests+in+Cancer+Testing+Startup+Color+Genomics+%23machinelearning+https%3A%2F%2Ft.co%2FMtHpMwT6sG+https%3A%2F%2Ft.co%2Fi0ypcbt27u"],["Thu Sep 29 22:23:10 +0000 2016","Print3DExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:23:00 +0000 2016","Print3DExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:22:56 +0000 2016","RajashekharPI","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","155","RT+%40INFA_BD%3A+How+to+Build+a+Marketing+%23DataLake+in+60+Days+https%3A%2F%2Ft.co%2F1otat8KSUH+%23BigData+%23StrataHadoop+https%3A%2F%2Ft.co%2FM9kYV9ekos"],["Thu Sep 29 22:22:54 +0000 2016","didem_un_ates","Compound 0.5423 Negative 0.0 Neutral 0.71 Positive 0.29  ","145","Microsoft+Expands+Artificial+Intelligence+Efforts+With+New+5%2C000-Member+Research+Group+https%3A%2F%2Ft.co%2FBrIW1F2QFo+%23AI+%23machinelearning"],["Thu Sep 29 22:22:34 +0000 2016","WebRTCSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:22:15 +0000 2016","Sve_Sic","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","158","My+new+blog+post.+%0ADistributed+computing+and+massively+parallel+processing+popularized+by+Hadoop+will+be+prevail.+Bu%E2%80%A6https%3A%2F%2Ft.co%2Fq4mnqSBE2j"],["Thu Sep 29 22:22:06 +0000 2016","WebRTCSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:22:05 +0000 2016","RosencildNews","Compound 0.4404 Negative 0.0 Neutral 0.828 Positive 0.172  ","176","RT+%40gp_pulipaka%3A+5+big+%23Tech+companies+form+group+to+foster+good+%23AI.+%23BigData+%23DeepLearning+%23MachineLearning+%23DataScience%0A%0Ahttps%3A%2F%2Ft.co%2FRN%E2%80%A6"],["Thu Sep 29 22:21:57 +0000 2016","maravikumar","Compound 0.4199 Negative 0.0 Neutral 0.872 Positive 0.128  ","166","RT+%40MuSigmaInc%3A+Advancements+like+%23IoT%2Ccloud+will+change+the+way+%23businesses+make+decisions%21To+know+more+visit+us+at+%40MuSigmaInc%27s+booth+%233%E2%80%A6"],["Thu Sep 29 22:21:49 +0000 2016","gcosma1","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","151","Deep+learning+architecture+diagrams%0Ahttps%3A%2F%2Ft.co%2F8MLDvCDjWV+%23DataScience+%23deeplearning+%23MachineLearning+https%3A%2F%2Ft.co%2FEAdbJQowf8"],["Thu Sep 29 22:21:30 +0000 2016","BigRTweets","Compound 0.8217 Negative 0.0 Neutral 0.569 Positive 0.431  ","96","Thanks+for+having+us+%40OReillyMedia%21++We+had+a+great+time+at+%23StrataHadoop%21+%23BigDataNYC"],["Thu Sep 29 22:21:30 +0000 2016","nicoleBans","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","73","%40harropj+I%27ve+just+realized+%22strata%22+may+be+a+Canadian+concept..."],["Thu Sep 29 22:21:29 +0000 2016","DarthSicuel","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40SQLServer%3A+%23Azure+%23HDInsight+now+running+%23Hortonworks+HDP+2.5+with+LLAP+for+up+to+25x+faster+queries.+%23StrataHadoop+https%3A%2F%2Ft.co%2FnGesjc%E2%80%A6"],["Thu Sep 29 22:21:27 +0000 2016","RosencildNews","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","182","RT+%40gp_pulipaka%3A+%23MachineLearning+makes+%40Google+Translate+60%25+more+accurate.+%23BigData+%23DataScience+%23AI+%0A%0Ahttps%3A%2F%2Ft.co%2FxnmRqeQlEx+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 22:21:26 +0000 2016","WebRTCSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:21:22 +0000 2016","amasoliverdilme","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","110","Plenty+of+data%2C+but+not+enough+data+scientists+https%3A%2F%2Ft.co%2FCxKrS79IlB+%23bigdata+%23machinelearning"],["Thu Sep 29 22:21:16 +0000 2016","WebRTCSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:21:12 +0000 2016","VVagias","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40tmj_sjc_eng%3A+See+our+latest+%23PaloAlto%2C+CA+%23job+and+click+to+apply%3A+Professional+System+Engineer+BIG+DATA+Hadoop...+-+https%3A%2F%2Ft.co%2FayNqy%E2%80%A6"],["Thu Sep 29 22:20:46 +0000 2016","nicoleBans","Compound -0.6808 Negative 0.213 Neutral 0.787 Positive 0.0  ","101","%40harropj+have+you+ever+had+to+deal+with+a+whole+building+strata%3F+They+are+the+next+level+of+hell."],["Thu Sep 29 22:20:43 +0000 2016","boulabiar","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","161","RT+%40algoritmic%3A+How+do+Convolutional+Neural+Networks+work+https%3A%2F%2Ft.co%2F25QoQ8EmlQ+via+%40_brohrer_+%23MachineLearning+https%3A%2F%2Ft.co%2F2tF49Pp3Ey"],["Thu Sep 29 22:20:43 +0000 2016","vgpiyer","Compound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  ","180","RT+%40KirkDBorne%3A+%23Chatbots+and+Service+Industry+%E2%80%93+Towards+a+better+customer+experience%3A+https%3A%2F%2Ft.co%2FzAebIMuqWM+%23CX+%23CEM+%23MachineLearning+%23A%E2%80%A6"],["Thu Sep 29 22:20:40 +0000 2016","RosencildNews","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40gp_pulipaka%3A+%27%40IBM+Solidified+Its+Business+%23Analytics+Ecosystem.%27+%23BigData+%23MachineLearning+%23DataScience+%23AI+%23IBMWatson+%23Spark%0A%0Ahttps%3A%2F%E2%80%A6"],["Thu Sep 29 22:20:26 +0000 2016","top500supercomp","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","140","%23NVIDIA+spreads+%23machinelearning+tech+around+Europe%2C+previews+Volta+GPU+for+self-driving+cars%E2%80%A6+https%3A%2F%2Ft.co%2Fy0iYbFeEoN"],["Thu Sep 29 22:20:26 +0000 2016","IoTJournal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:20:00 +0000 2016","jamie_dixon","Compound 0.5766 Negative 0.0 Neutral 0.777 Positive 0.223  ","193","RT+%40innova_scape%3A+RT++Very+good+talk+about+%23DataScience+%23R+and+%23MachineLearning+https%3A%2F%2Ft.co%2FTb0KqcKvax%C2%A0%E2%80%A6+https%3A%2F%2Ft.co%2Fl3nond2WrE+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:19:58 +0000 2016","IoTJournal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:19:55 +0000 2016","FmFrancoise","Compound 0.6369 Negative 0.0 Neutral 0.704 Positive 0.296  ","143","RT+%40kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2Fs7HfISRJMi"],["Thu Sep 29 22:19:52 +0000 2016","trinityventures","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","72","Part+Two+%40CrowdFlower+%23TrinityFamily+https%3A%2F%2Ft.co%2FxIUhcXrbLx"],["Thu Sep 29 22:19:52 +0000 2016","ximdex","Compound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  ","180","RT+%40KirkDBorne%3A+%23Chatbots+and+Service+Industry+%E2%80%93+Towards+a+better+customer+experience%3A+https%3A%2F%2Ft.co%2FzAebIMuqWM+%23CX+%23CEM+%23MachineLearning+%23A%E2%80%A6"],["Thu Sep 29 22:19:34 +0000 2016","WalesBuzz","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","217","RT+%40innova_scape%3A+RT++%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FF0WAiP6txR%C2%A0+%23IoT+%23ML+%23BigData%E2%80%A6+https%3A%2F%2Ft.co%2F3UOcP%E2%80%A6"],["Thu Sep 29 22:19:34 +0000 2016","WalesBuzz","Compound 0.4291 Negative 0.0 Neutral 0.821 Positive 0.179  ","185","RT+%40innova_scape%3A+RT++ProsperWorks+raises+%2424M+for+its+Google-centric+CRM+solution+%23machinelearning+https%3A%2F%2Ft.co%2FGdZc8rfx72%C2%A0%E2%80%A6+https%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 22:19:34 +0000 2016","WalesBuzz","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","191","RT+%40innova_scape%3A+RT++5+new+%23fintech+posts+about+%23machinelearning+%23venturecapital+https%3A%2F%2Ft.co%2F0dcmEeBZDq%C2%A0%E2%80%A6+https%3A%2F%2Ft.co%2FdjMHMfcOwM+https%3A%2F%E2%80%A6"],["Thu Sep 29 22:19:34 +0000 2016","WalesBuzz","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40innova_scape%3A+RT++3+Industries+That+Will+Be+Transformed+By+%23AI%2C+Machine+Learning+And+Big+Data+In+The+Next+Decade+%23MachineLearning%E2%80%A6+http%E2%80%A6"],["Thu Sep 29 22:19:33 +0000 2016","WalesBuzz","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","170","RT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6"],["Thu Sep 29 22:19:33 +0000 2016","WalesBuzz","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:19:33 +0000 2016","WalesBuzz","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:19:32 +0000 2016","trinityventures","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","73","Part+One+%40CrowdFlower+%23TrinityFamilly+https%3A%2F%2Ft.co%2FOU3qq4msZy"],["Thu Sep 29 22:19:17 +0000 2016","IoTJournal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:19:03 +0000 2016","IoTJournal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:18:54 +0000 2016","sahil29nov","Compound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  ","170","RT+%40INFA_BD%3A+LIVE++at+%23StrataHadoop%3A+Princeton%27s+Sam+Wang+discusses+statistics%2C+machine+learning%2C+and+the+%22crazy+2016+election.%22+%23govit+%23po%E2%80%A6"],["Thu Sep 29 22:18:52 +0000 2016","omgitsbbox","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","151","%40jayesh_mori+presents+OPTIMUS%3A+%40tresata%27s+Next-Generation+Analytics++Operating+System+%40+CHUG+%23hadoop+%23clt+https%3A%2F%2Ft.co%2Fvjr6jEGkY6"],["Thu Sep 29 22:18:46 +0000 2016","BigRTweets","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","154","RT+%40cutting%3A+%22Every+data+science+training+program+must+include+ethics+%26amp%3B+security.%22+%40DJ44%2C+U.S.+Chief+Data+Scientist+at+%23StrataHadoop"],["Thu Sep 29 22:18:25 +0000 2016","tmmmarshall","Compound 0.296 Negative 0.0 Neutral 0.872 Positive 0.128  ","178","RT+%40ibmevents%3A+Join+us+for+%23SparkSummit+Europe+2016%3A+The+premier+%23ApacheSpark+community+event%2C+https%3A%2F%2Ft.co%2F0NetX2baPQ+%23ibm+https%3A%2F%2Ft.co%2Fr7%E2%80%A6"],["Thu Sep 29 22:18:20 +0000 2016","AsiaIndex","Compound 0.6486 Negative 0.0 Neutral 0.71 Positive 0.29  ","143","RT+%40FGraillot%3A+Interesting+to+see+Baidu+launching+a+%24200m+%23VC+fund+focused+on+%23AI.+%23MachineLearning+https%3A%2F%2Ft.co%2FpNWPGvVCpr"],["Thu Sep 29 22:17:32 +0000 2016","shakamunyi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","173","RT+%40innova_scape%3A+RT++Apache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fs9eTmo8yqV%C2%A0+%23bigdata+https%3A%2F%2Ft.co%2F5JbkeWaKkq+https%3A%2F%2Ft.co%2FjXvbw9oUhr"],["Thu Sep 29 22:17:27 +0000 2016","SDDCexpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:16:55 +0000 2016","SDDCexpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:16:49 +0000 2016","Securing_IT","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","170","RT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6"],["Thu Sep 29 22:16:38 +0000 2016","deesank","Compound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  ","168","RT+%40INFA_BD%3A+%22Artificial+Intelligence+will+revolutionize+transportation%2C+%23healthcare+and+society.%22+-+%40JimMcHugh+%23StrataHadoop+%23AI+%23healthIT%E2%80%A6"],["Thu Sep 29 22:16:25 +0000 2016","Kevin_Jackson","Compound 0.7412 Negative 0.0 Neutral 0.73 Positive 0.27  ","168","RT+%40babettetenhaken%3A+%40Kevin_Jackson+The+feeling+is+mutual%21%21+You+both+rock%21+Loved+working+w%2F+you+and+%40data_nerd+at+%40strataconf+%23knowyourdata%E2%80%A6"],["Thu Sep 29 22:16:23 +0000 2016","innova_scape","Compound 0.4291 Negative 0.0 Neutral 0.795 Positive 0.205  ","173","RT++ProsperWorks+raises+%2424M+for+its+Google-centric+CRM+solution+%23machinelearning+https%3A%2F%2Ft.co%2FGdZc8rfx72%C2%A0%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FhGpZi5PWJp"],["Thu Sep 29 22:16:22 +0000 2016","GOLF_Review","Compound 0.5622 Negative 0.0 Neutral 0.805 Positive 0.195  ","115","GIFT+IDEA+FROM+%23AMAZON+%2310%3A+Callaway+Men%27s+Strata+Complete+Golf+Club+Set+with+Bag+%2812-Piece%29..++%23GOLF"],["Thu Sep 29 22:16:20 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","162","RT++3+Industries+That+Will+Be+Transformed+By+%23AI%2C+Machine+Learning+And+Big+Data+In+The+Next+Decade+%23MachineLearning%E2%80%A6+https%3A%2F%2Ft.co%2FJg0Iv60ZSp"],["Thu Sep 29 22:16:18 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT++%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FF0WAiP6txR%C2%A0+%23IoT+%23ML+%23BigData%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FxZj7p65lfg"],["Thu Sep 29 22:16:17 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT++5+new+%23fintech+posts+about+%23machinelearning+%23venturecapital+https%3A%2F%2Ft.co%2F0dcmEeBZDq%C2%A0%E2%80%A6+https%3A%2F%2Ft.co%2FdjMHMfcOwM+https%3A%2F%2Ft.co%2FDdwIMWXipl"],["Thu Sep 29 22:16:17 +0000 2016","SDDCexpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:16:15 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","154","RT++Study+the+road+AND+driver%2C+then+use+%23machinelearning+to+make+autonomous+car+decisions.+Genius%2C%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FWd4Ml6ciDl"],["Thu Sep 29 22:16:13 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","149","RT++Google+Cloud+%23MachineLearning%3A+Now+open+to+all+with+new+professional+services+and+education%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FrNonpkBfhI"],["Thu Sep 29 22:16:12 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT++twoXAR%2C+co-founded+by+MIT+Sloan+alumnus%2C+uses+%23machinelearning+to+identify+drug+candidates+in+minutes%2C+not%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FUNPgs2XRt7"],["Thu Sep 29 22:16:12 +0000 2016","Kevin_Jackson","Compound 0.7964 Negative 0.0 Neutral 0.705 Positive 0.295  ","159","RT+%40davenielsen%3A+%40Kevin_Jackson+Great+to+see+u+2+Kevin.+Can%27t+wait+to+finish+showing+you+my+favorite+parts+of+%40trustedanalytic+%40strataconf%E2%80%A6"],["Thu Sep 29 22:16:10 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT++Nevertheless%2C+%23ai+and+%23MachineLearning+are+becoming+more+prevalent+on+Wall+Street.+https%3A%2F%2Ft.co%2FVMhSl4S1X4%C2%A0%E2%80%A6%E2%80%A6+https%3A%2F%2Ft.co%2FIsgk2AAhex"],["Thu Sep 29 22:16:08 +0000 2016","innova_scape","Compound 0.5504 Negative 0.0 Neutral 0.756 Positive 0.244  ","178","RT++Very+good+talk+about+%23DataScience+%23R+and+%23MachineLearning+https%3A%2F%2Ft.co%2FTb0KqcKvax%C2%A0%E2%80%A6+https%3A%2F%2Ft.co%2Fl3nond2WrE+https%3A%2F%2Ft.co%2Fo7RNvy0gVC"],["Thu Sep 29 22:16:07 +0000 2016","SDDCexpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:15:38 +0000 2016","maish","Compound 0.4404 Negative 0.0 Neutral 0.756 Positive 0.244  ","117","How+%23machinelearning+is+used+to+improve+the+%23ux+in+%23gsuite+%0Ahttps%3A%2F%2Ft.co%2FP9tZOHTZqB+via+%40techcrunch"],["Thu Sep 29 22:15:34 +0000 2016","marthaperez0609","Compound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  ","162","RT+%40Oracle%3A+Tired+of+waiting+in+lines+for+a+taxi%3F+The+wait+is+over%21+Ride+in+style+in+an+Oracle+Tesla.+Free+for+%23StrataHadoop+attendees%21+%23Or%E2%80%A6"],["Thu Sep 29 22:15:23 +0000 2016","AnaMEcheverri","Compound 0.296 Negative 0.0 Neutral 0.879 Positive 0.121  ","158","What+is+all+the+hype+with+%23Spark%3F+Join+our+%23Meetup+in+%23Peoria+on+10%2F4+%23Apachespark+https%3A%2F%2Ft.co%2FvsBI0d86o0+https%3A%2F%2Ft.co%2FvfDCdncH0K"],["Thu Sep 29 22:15:21 +0000 2016","innova_scape","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","151","RT++Apache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fs9eTmo8yqV%C2%A0+%23bigdata+https%3A%2F%2Ft.co%2F5JbkeWaKkq+https%3A%2F%2Ft.co%2FjXvbw9oUhr"],["Thu Sep 29 22:15:17 +0000 2016","LeoBoeckl","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40IBMDataScience%3A+Test+your+rock%2C+paper%2C+scissors+skills+with+Marvin+the+robot.+Only+at+%23IBM+Booth+439+at+%23StrataHadoop%21+https%3A%2F%2Ft.co%2FnTk%E2%80%A6"],["Thu Sep 29 22:15:15 +0000 2016","Pybonacci","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","169","RT+%40amuellerml%3A+Scikit-learn+0.18+is+out%21+Update+now+with+conda+or+pip%21+Check+out+the+changelog+here%3A+https%3A%2F%2Ft.co%2Fza27b0cqJm+%23sklearn+%28at%E2%80%A6"],["Thu Sep 29 22:15:09 +0000 2016","GonzalezCarmen","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:15:08 +0000 2016","GOLF_Review","Compound 0.7125 Negative 0.0 Neutral 0.753 Positive 0.247  ","122","%23AMAZON+BEST+SELLER+%239%3A+Callaway+Women%27s+Strata+Complete+Golf+Club+Set+with+Bag+%2811-Piece%29..++%23GOLF+%23CLUBS"],["Thu Sep 29 22:15:05 +0000 2016","GOLF_Review","Compound 0.7125 Negative 0.0 Neutral 0.753 Positive 0.247  ","120","%23AMAZON+BEST+SELLER+%232%3A+Callaway+Men%27s+Strata+Complete+Golf+Club+Set+with+Bag+%2812-Piece%29..++%23GOLF+%23CLUBS"],["Thu Sep 29 22:14:40 +0000 2016","GonzalezCarmen","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:14:26 +0000 2016","SL_Robotics","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","140","RT+%40data_nerd%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FVl4N9Dxa9E"],["Thu Sep 29 22:14:24 +0000 2016","SubhakaraM","Compound 0.0 Negative 0.0 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","170","RT+%40randal_olson%3A+The+new+model_selection+module+in+the+latest+%23sklearn+release+looks+awesome.+%23Python+%23MachineLearning%0A%0Ahttps%3A%2F%2Ft.co%2F3XWui%E2%80%A6"],["Thu Sep 29 22:13:38 +0000 2016","cjiqbal","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","131","RT+%40techjunkiejh%3A+Apache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fan4SCMZznY+%23bigdata+https%3A%2F%2Ft.co%2F6zn2PyqFVX"],["Thu Sep 29 22:13:36 +0000 2016","binaryloom","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:13:31 +0000 2016","shakamunyi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","131","RT+%40techjunkiejh%3A+Apache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fan4SCMZznY+%23bigdata+https%3A%2F%2Ft.co%2F6zn2PyqFVX"],["Thu Sep 29 22:13:24 +0000 2016","ValueChainVids","Compound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  ","115","%28advanced+value+chain+videos+at+https%3A%2F%2Ft.co%2F6zSUphUVkM+%29+%23ValueChain+https%3A%2F%2Ft.co%2FTkzmNGF9fN"],["Thu Sep 29 22:13:19 +0000 2016","miguelmalvarez","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","162","RT+%40SethGrimes%3A+Yishay+Carmiel+describes+how+deep+learning+for+speech+involves+recognition%2C+analytics%2C+synthesis.+%23NLP+%23StrataHadoop+https%3A%E2%80%A6"],["Thu Sep 29 22:13:17 +0000 2016","BigDataBlogs","Compound 0.128 Negative 0.0 Neutral 0.865 Positive 0.135  ","155","Datanami+%C2%BB+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal%3A+SAP+completed+it+acquisition+of+big+...+https%3A%2F%2Ft.co%2FfCdH4HtJ74+%23BigData+%23Blogs"],["Thu Sep 29 22:13:01 +0000 2016","SYSCONtv","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:12:34 +0000 2016","SYSCONtv","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:12:13 +0000 2016","milo5714900","Compound 0.7184 Negative 0.0 Neutral 0.625 Positive 0.375  ","158","Google+delivers+free+personalization+support%2C+machine+learning+...+-+Marketing+Dive+https%3A%2F%2Ft.co%2Ft504ajEddj%E2%80%A6+https%3A%2F%2Ft.co%2FM2W4S3hug5"],["Thu Sep 29 22:12:09 +0000 2016","FintanINFA","Compound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  ","162","RT+%40parikhash%3A+what+it+takes+to+succeed+with+%23datalake+-+think+u+can+do+it+with++point+solutions+%2F+code+generators%3F+%40Informatica+%23StrataHad%E2%80%A6"],["Thu Sep 29 22:12:09 +0000 2016","KhalidHamdan0","Compound -0.3804 Negative 0.178 Neutral 0.822 Positive 0.0  ","161","34+Most+Disruptive+Technologies+of+the+Next+Decade+%40Tess_Townsend+https%3A%2F%2Ft.co%2Fcj7qcUmONh+MT+%40TamaraMcCleary%E2%80%A6+https%3A%2F%2Ft.co%2FaILm0MkC13"],["Thu Sep 29 22:12:09 +0000 2016","_SoftwareTestin","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","189","%23SoftwareTesting+%23security+%23softwaretest+%23test%0A%0A%23BigData+%23DevOps+%23DataCenter+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+%E2%80%A6"],["Thu Sep 29 22:11:59 +0000 2016","ideyvid","Compound 0.784 Negative 0.0 Neutral 0.615 Positive 0.385  ","117","RT+%40Pentaho%3A+Thank+you+%23StrataHadoop+or+a+great+event+-+see+you+in+Singapore%21+https%3A%2F%2Ft.co%2F7vXljSp422"],["Thu Sep 29 22:11:55 +0000 2016","SYSCONtv","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:11:45 +0000 2016","SYSCONtv","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:11:38 +0000 2016","ashwanth14","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 22:11:18 +0000 2016","DebraYamashita","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","170","RT+%40Informatica%3A+%223+keys+to+%40Informatica+success%3A+Early+innovation+in+%23cloud%2C+Ease-of-Use+and+Agility.%22+-+%40amit_walia+%23StrataHadoop+%23theCUB%E2%80%A6"],["Thu Sep 29 22:10:57 +0000 2016","duniacloud","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","103","Splunk+ups+the+machine-learning+ante+-+Computerworld+https%3A%2F%2Ft.co%2F9hdMXvFwqG+%23machinelearning"],["Thu Sep 29 22:10:54 +0000 2016","lukepuplett","Compound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  ","129","RT+%40acroll%3A+By+a+thousand+cuts%3A+Some+guesses+about+how+AI+will+take+jobs.+%23stratahadoop%0Ahttps%3A%2F%2Ft.co%2FWm2cERQV0R"],["Thu Sep 29 22:10:46 +0000 2016","ImDataScientist","Compound 0.4939 Negative 0.0 Neutral 0.758 Positive 0.242  ","160","RT+%40MikeTamir%3A+5+Phases+To+Successfully+Complete+a+%23DataScience+%23MachineLearning+Project+https%3A%2F%2Ft.co%2F1XdksxaCsj+https%3A%2F%2Ft.co%2FnhxkvsNF7Y"],["Thu Sep 29 22:10:40 +0000 2016","inkalex","Compound -0.6997 Negative 0.344 Neutral 0.554 Positive 0.102  ","184","RT+%40Ronald_vanLoon%3A+K3OPS+PREVENTS+%E2%80%9CIOT%E2%80%9D+RISK+FROM+CYBER+ATTACKS+%7C+%23MachineLearning+%23IoT+%23RT+https%3A%2F%2Ft.co%2FiTo4a2y1P0+https%3A%2F%2Ft.co%2Fdi2vVakJCF"],["Thu Sep 29 22:10:35 +0000 2016","Babble_Away","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","156","BUNT%3A+A+Bot+UNderstanding+Testbed%3A+BUNT+%28Bot+UNderstanding+Testbed%29+What+is+BUNT+%3F+BUNT+is+a...+https%3A%2F%2Ft.co%2Fg5RBckbxuP+%23machinelearning"],["Thu Sep 29 22:10:29 +0000 2016","RetailAnalytica","Compound 0.4926 Negative 0.0 Neutral 0.738 Positive 0.262  ","113","The+latest+Retail+Analytica%21+https%3A%2F%2Ft.co%2F0qccB3dAKY+Thanks+to+%40RetailNext+%23stratahadoop+%23bigdata"],["Thu Sep 29 22:10:23 +0000 2016","miguelmalvarez","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","126","RT+%40SethGrimes%3A+Yishay+Carmiel+is+talking+Deep+Learning+for+Speech.+%23NLP+%23StrataHadoop+https%3A%2F%2Ft.co%2F1zpV8MKsbl"],["Thu Sep 29 22:10:19 +0000 2016","Digitalation","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","107","Why+%23DeepLearning+Is+Suddenly+Changing+Your+Life+https%3A%2F%2Ft.co%2FR1HBKBIqo4+%23MachineLearning+%23AI"],["Thu Sep 29 22:10:19 +0000 2016","DomainsZen","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","107","Why+%23DeepLearning+Is+Suddenly+Changing+Your+Life+https%3A%2F%2Ft.co%2Fck65xGMWay+%23MachineLearning+%23AI"],["Thu Sep 29 22:10:19 +0000 2016","FutureCloudTech","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","107","Why+%23DeepLearning+Is+Suddenly+Changing+Your+Life+https%3A%2F%2Ft.co%2F7rN96wQe9v+%23MachineLearning+%23AI"],["Thu Sep 29 22:10:09 +0000 2016","InfaAnderson","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 22:10:07 +0000 2016","techjunkiejh","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","109","Apache+%23Hadoop+Wordcount+Example+https%3A%2F%2Ft.co%2Fan4SCMZznY+%23bigdata+https%3A%2F%2Ft.co%2F6zn2PyqFVX"],["Thu Sep 29 22:09:49 +0000 2016","Juan_A_Lleo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40IBMSPSS%3A+IBM+Data+Science+Experience+is+open%21+See+what%27s+new+and+sign+up%3A+https%3A%2F%2Ft.co%2FnS1jr1aoh1+%23DataSciX+%23StrataHadoop+https%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 22:09:46 +0000 2016","ITProjectBoard","Compound 0.128 Negative 0.0 Neutral 0.815 Positive 0.185  ","132","RT+%40BigDataGear%3A+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2FiO3hovwI3E+%23BigData+%23Analytics+%23bigdata"],["Thu Sep 29 22:09:28 +0000 2016","biconnections","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40Capgemini%3A+A+next+gen+platform+developed+with+%40cloudera+to+accelerate+your+transformation+to+%23bigdata+analytics.+https%3A%2F%2Ft.co%2FVG0RMI2pp%E2%80%A6"],["Thu Sep 29 22:09:24 +0000 2016","ClaqRadio","Compound 0.2023 Negative 0.0 Neutral 0.69 Positive 0.31  ","34","Now+playing%3A+Strata+-+Stay+Young"],["Thu Sep 29 22:09:24 +0000 2016","deesank","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","131","RT+%40INFA_BD%3A+How+to+Run+a+%23BigData+POC+%E2%80%94+In+Six+Weeks+https%3A%2F%2Ft.co%2FxzCOdxRMEa+%23stratahadoop+%23BigDataReady"],["Thu Sep 29 22:09:10 +0000 2016","miguelmalvarez","Compound 0.5848 Negative 0.0 Neutral 0.847 Positive 0.153  ","157","RT+%40FlaxSearch%3A+I+would+suggest+that+%23opensource+search+tech+such+as+%23Solr+is+the+*only*+way+this+could+have+been+done.+Fascinating+stuff%21%E2%80%A6"],["Thu Sep 29 22:09:06 +0000 2016","renatoosousa","Compound 0.6369 Negative 0.0 Neutral 0.704 Positive 0.296  ","143","RT+%40kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2Fs7HfISRJMi"],["Thu Sep 29 22:09:02 +0000 2016","RohitAkiwatkar","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","147","How+do+Chatbots+work%3F+https%3A%2F%2Ft.co%2FC1asqF1lIT+%23chatbots+%23AI+%23MachineLearning+%23tech+%23IoT+%23bots+https%3A%2F%2Ft.co%2Fd8ZTg2iKa3"],["Thu Sep 29 22:08:48 +0000 2016","Ulitzer","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:08:31 +0000 2016","HVoilet","Compound 0.7901 Negative 0.0 Neutral 0.667 Positive 0.333  ","157","RT+%40tashay_g%3A+Thank+you+to+%40OReillyMedia+for+giving+me+the+opportunity+to+attend+%23StrataHadoop+as+a+Diversity+Scholarship+recipient%21+I+had%E2%80%A6"],["Thu Sep 29 22:08:27 +0000 2016","profdrpassos","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40Capgemini%3A+A+next+gen+platform+developed+with+%40cloudera+to+accelerate+your+transformation+to+%23bigdata+analytics.+https%3A%2F%2Ft.co%2FVG0RMI2pp%E2%80%A6"],["Thu Sep 29 22:08:23 +0000 2016","vraichura","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40Informatica%3A+%22You+must+empower+your+users+to+release+their+%23BigData+Super-Powers%21%22+-+Chad+Jennings%2C+Google+at+%23StrataHadoop+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 22:08:18 +0000 2016","rocanainc","Compound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  ","131","RT+%40bojan_simic%3A+Great+meetings+today+with+%40mapr+%40Zoomdata++%40rocanainc+%40SAP+%40DellEMC+%40CamSemantics+at+%40strataconf"],["Thu Sep 29 22:08:18 +0000 2016","Ulitzer","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:08:13 +0000 2016","INFA_Chase","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","170","RT+%40Informatica%3A+%22You+must+empower+your+users+to+release+their+%23BigData+Super-Powers%21%22+-+Chad+Jennings%2C+Google+at+%23StrataHadoop+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 22:07:51 +0000 2016","tashay_g","Compound 0.7717 Negative 0.0 Neutral 0.645 Positive 0.355  ","160","Thank+you+to+%40OReillyMedia+for+giving+me+the+opportunity+to+attend+%23StrataHadoop+as+a+Diversity+Scholarship+recipie%E2%80%A6+https%3A%2F%2Ft.co%2F0HdmDi3dzJ"],["Thu Sep 29 22:07:35 +0000 2016","Ulitzer","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:07:30 +0000 2016","anncrosen","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 22:07:23 +0000 2016","Ulitzer","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:07:20 +0000 2016","darshitjs","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","168","RT+%40strataconf%3A+Attending+%23StrataHadoop+NYC%3F+Prepare+with+free+Marketing+Data+Lake+Book+by+%40FranzAman+https%3A%2F%2Ft.co%2FQWEK0HkSIP+%23bigdata+http%E2%80%A6"],["Thu Sep 29 22:07:19 +0000 2016","DigitalGokhan","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","198","ContainersExpo%3A+RT+CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FQD3O5LyODd+%23IoT%E2%80%A6+https%3A%2F%2Ft.co%2F9gjxmHoOMZ"],["Thu Sep 29 22:07:12 +0000 2016","freyduni","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","116","This+Robot-Made+Pizza+Is+Baked+in+the+Van+on+the+Way+to+Your+Door+https%3A%2F%2Ft.co%2FhDmxCKnEhF+%23machinelearning"],["Thu Sep 29 22:07:10 +0000 2016","renuk16","Compound 0.7754 Negative 0.0 Neutral 0.703 Positive 0.297  ","112","Lesson+from+Strata+Conf%3A+Most+of+the+inspiring+people+had+a+job+and+a+hobby+that+they+were+passionate+about%21"],["Thu Sep 29 22:07:09 +0000 2016","freyduni","Compound 0.296 Negative 0.0 Neutral 0.845 Positive 0.155  ","117","Facebook%2C+Google+and+Other+Tech+Giants+Join+Forces+To+Advance+AI+https%3A%2F%2Ft.co%2FLJ8vPAMbmd+%23machinelearning"],["Thu Sep 29 22:07:00 +0000 2016","TechnovationCtr","Compound 0.2023 Negative 0.0 Neutral 0.859 Positive 0.141  ","125","Results+are+in%3A+Top+%23Algorithms+Used+by+Data+Scientists+%23MachineLearning+%23DataScience+https%3A%2F%2Ft.co%2FIj8XfSZZGc"],["Thu Sep 29 22:06:54 +0000 2016","dej_io","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","165","RT+%40bojan_simic%3A+Great+meetings+today+w%2F+%40mapr+%40Zoomdata++%40rocanainc+%40SAP+%40DellEMC+%40CamSemantics+at+%40strataconf+%23bigdata+%23hadoop+%23analytics"],["Thu Sep 29 22:06:50 +0000 2016","whitevantastic","Compound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  ","121","Ploughing+through+%40udacity++%23MachineLearning+%23TextLearning+.Interesting+course%0A%0Ahttps%3A%2F%2Ft.co%2Fe8mea57dFk"],["Thu Sep 29 22:06:10 +0000 2016","emiliochemali","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","95","Vendors+Pile+on+Big+Data+News+at+Strata+-+Enterprise+Apps+Today+https%3A%2F%2Ft.co%2F2slTTQ9WzB"],["Thu Sep 29 22:05:49 +0000 2016","whitevantastic","Compound 0.4019 Negative 0.0 Neutral 0.649 Positive 0.351  ","105","Ploughing+through+%40udacity++%23MachineLearning+.Interesting+course%0A%0Ahttps%3A%2F%2Ft.co%2Fe8mea57dFk"],["Thu Sep 29 22:05:49 +0000 2016","FSResidentialBC","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","161","Electric+Vehicles+in+Strata+Corporations+%E2%80%93+Click+here+to+read+the+article+from+our+most+recent+strata+newsletter%E2%80%A6+https%3A%2F%2Ft.co%2FgJMCUCMMVW"],["Thu Sep 29 22:05:29 +0000 2016","BigDataGear","Compound 0.128 Negative 0.0 Neutral 0.783 Positive 0.217  ","111","SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2FiO3hovwI3E+%23BigData+%23Analytics+%23bigdata"],["Thu Sep 29 22:05:29 +0000 2016","CGS_Computers","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","167","RT+%40cybersecboardrm%3A+Why+data+is+the+new+coal+%23BigData+%23deeplearning+%23MachineLearning+%23AI%0Ahttps%3A%2F%2Ft.co%2F7L0iAPTQle+https%3A%2F%2Ft.co%2FSrdp6OEIm3"],["Thu Sep 29 22:05:28 +0000 2016","DaveBorean","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","159","RT+%40AllSightBigData%3A+The+final+day+at+%23StrataHadoop+and+the+demo+rush+begins+%23Allsight+%23MDM+%23BigData+%23Customer360+https%3A%2F%2Ft.co%2FhRwEIzwuFm"],["Thu Sep 29 22:05:18 +0000 2016","ContainersExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:05:17 +0000 2016","thesuchflex","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","63","%23MachineLearning+As+A+Service+https%3A%2F%2Ft.co%2FJZ7xY3EZG9"],["Thu Sep 29 22:05:16 +0000 2016","jamiecoupy","Compound 0.8074 Negative 0.0 Neutral 0.687 Positive 0.313  ","166","RT+%40PC_Urban%3A+An+architectural+award+winner%2C+PC+Urban+transformed+this+old+inn+to+a+strata+warehouse%3A+https%3A%2F%2Ft.co%2Fl4yBS1yOfc++%23bcbiz+https%E2%80%A6"],["Thu Sep 29 22:05:14 +0000 2016","babettetenhaken","Compound 0.7412 Negative 0.0 Neutral 0.718 Positive 0.282  ","141","%40Kevin_Jackson+The+feeling+is+mutual%21%21+You+both+rock%21+Loved+working+w%2F+you+and+%40data_nerd+at+%40strataconf+%23knowyourdata+%23TAP"],["Thu Sep 29 22:05:09 +0000 2016","ITCrowdsource","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:05:07 +0000 2016","EnterpriseTek","Compound 0.128 Negative 0.0 Neutral 0.706 Positive 0.294  ","85","%23SAP+expands+%23Hadoop+reach+with+%23Altiscale+deal+https%3A%2F%2Ft.co%2FxlZHBgG00j"],["Thu Sep 29 22:05:04 +0000 2016","Testing_Pro4u","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","%23BigData+%23DevOps+%23DataCenter+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FA3hjUtXzYw+%23IoT+%E2%80%A6+https%3A%2F%2Ft.co%2FYnMmscr7Jl"],["Thu Sep 29 22:05:02 +0000 2016","VVagias","Compound 0.34 Negative 0.0 Neutral 0.876 Positive 0.124  ","166","RT+%40sam_lucido%3A+Hadoop+Customers+Turn+to+Dell+EMC+for+Broad+Portfolio+Options+https%3A%2F%2Ft.co%2FospcX7tCua+customer+choice%3A+DAS%2C+shared+storage%2C%E2%80%A6"],["Thu Sep 29 22:05:02 +0000 2016","sam_lucido","Compound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  ","152","Hadoop+Customers+Turn+to+Dell+EMC+for+Broad+Portfolio+Options+https%3A%2F%2Ft.co%2FospcX7tCua+customer+choice%3A+DAS%2C+shared+storage%2C+virtualization"],["Thu Sep 29 22:05:01 +0000 2016","ade_oshineye","Compound -0.2732 Negative 0.117 Neutral 0.81 Positive 0.073  ","160","RT+%40ri_cook%3A+The+real+world+is+an+edge+case.+The+mean+and+median+are+meaningless.+Everything+important+is+in+the+variance.+https%3A%2F%2Ft.co%2FpMV%E2%80%A6"],["Thu Sep 29 22:05:00 +0000 2016","cybersecboardrm","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","142","Why+data+is+the+new+coal+%23BigData+%23deeplearning+%23MachineLearning+%23AI%0Ahttps%3A%2F%2Ft.co%2F7L0iAPTQle+https%3A%2F%2Ft.co%2FSrdp6OEIm3"],["Thu Sep 29 22:04:54 +0000 2016","davenielsen","Compound 0.7964 Negative 0.0 Neutral 0.693 Positive 0.307  ","147","%40Kevin_Jackson+Great+to+see+u+2+Kevin.+Can%27t+wait+to+finish+showing+you+my+favorite+parts+of+%40trustedanalytic+%40strataconf+%23IntelAnalytics"],["Thu Sep 29 22:04:50 +0000 2016","ContainersExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:04:40 +0000 2016","peeyush_ag","Compound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  ","170","RT+%40INFA_BD%3A+LIVE++at+%23StrataHadoop%3A+Princeton%27s+Sam+Wang+discusses+statistics%2C+machine+learning%2C+and+the+%22crazy+2016+election.%22+%23govit+%23po%E2%80%A6"],["Thu Sep 29 22:04:39 +0000 2016","FerdyLachman","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","150","RT+%40INFA_BD%3A+Learn+to+turn+%23BigData+Into+Big+Value+With+Data+Lakes+https%3A%2F%2Ft.co%2F5obNYh9DfF+%40strataconf+https%3A%2F%2Ft.co%2F1OKhrNu58u"],["Thu Sep 29 22:04:39 +0000 2016","FintanINFA","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","168","RT+%40strataconf%3A+Attending+%23StrataHadoop+NYC%3F+Prepare+with+free+Marketing+Data+Lake+Book+by+%40FranzAman+https%3A%2F%2Ft.co%2FQWEK0HkSIP+%23bigdata+http%E2%80%A6"],["Thu Sep 29 22:04:27 +0000 2016","crisgamboa","Compound 0.784 Negative 0.0 Neutral 0.566 Positive 0.434  ","100","Thank+you+%23StrataHadoop+or+a+great+event+-+see+you+in+Singapore%21+https%3A%2F%2Ft.co%2FlBTEgO7SeQ"],["Thu Sep 29 22:04:25 +0000 2016","Kevin_Jackson","Compound 0.5673 Negative 0.0 Neutral 0.522 Positive 0.478  ","110","Thank+you%21%21%21%21%21%21%21%21%40babettetenhaken+%40data_nerd+%40strataconf+https%3A%2F%2Ft.co%2FltPJwSbtTL"],["Thu Sep 29 22:04:19 +0000 2016","innes_jon","Compound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  ","172","RT+%40SAPAppHaus%3A+Great+talk+about+%23Bots+%2B+%23ArtificialIntelligence+%23MachineLearning+%23NaturalLanguageProcessing+by+%40eswarpr+https%3A%2F%2Ft.co%2FUYBbg%E2%80%A6"],["Thu Sep 29 22:04:12 +0000 2016","ContainersExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:04:03 +0000 2016","ContainersExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:03:50 +0000 2016","galiyawarrier","Compound 0.89 Negative 0.0 Neutral 0.63 Positive 0.37  ","166","RT+%40strataconf%3A+Thanks+for+another+great+%23StrataHadoop.+Inspired+to+speak+next+time%3F+San+Jose+2017+CFP+open+through+tomorrow+%289%2F30%29+https%3A%2F%E2%80%A6"],["Thu Sep 29 22:03:46 +0000 2016","dp14","Compound 0.25 Negative 0.0 Neutral 0.778 Positive 0.222  ","160","RT+%40tcrawford%3A+The+real+advantage+to+%23AI+%26amp%3B+%23MachineLearning+isn%27t+from+replacing+the+human.+%0A%0A%23FutureBiz+%23Horizon2016+%23GoogleHorizon"],["Thu Sep 29 22:03:23 +0000 2016","foddone","Compound 0.6249 Negative 0.0 Neutral 0.769 Positive 0.231  ","162","RT+%40rbeegun%3A+%23DataAnalytics+and+%23MachineLearning+are+definitely+here+to+stay+and+%23Luxembourg+has+a+key+role+to+play+%40AlmaxAnalytics+%23KPMGDi%E2%80%A6"],["Thu Sep 29 22:03:22 +0000 2016","CloudExpoWire","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:02:55 +0000 2016","marcusfborba","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40marcusborba%3A+How+to+build+a+robot+that+%E2%80%9Csees%E2%80%9D+with+%24100+and+TensorFlow+https%3A%2F%2Ft.co%2FbaoJ4qLUkm+%23DataScience+%23DeepLearning+%23MachineLearn%E2%80%A6"],["Thu Sep 29 22:02:53 +0000 2016","xentaurs","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","5+Things+Everyone+Should+Know+About+Machine+Learning+https%3A%2F%2Ft.co%2FbnuhhOgEOo+%23Analytics+%23DeepLearning+%23MachineLearning+%23BI+%23Xentaurs"],["Thu Sep 29 22:02:51 +0000 2016","CloudExpoWire","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:02:49 +0000 2016","nitinramrap","Compound 0.6369 Negative 0.0 Neutral 0.704 Positive 0.296  ","143","RT+%40kdnuggets%3A+Best+%23BigData%2C+%23DataScience%2C+%23DataMining%2C+and+%23MachineLearning+podcasts+%23KDN+https%3A%2F%2Ft.co%2Fs7HfISRJMi"],["Thu Sep 29 22:02:31 +0000 2016","crunchysupermom","Compound 0.4588 Negative 0.0 Neutral 0.5 Positive 0.5  ","137","Recipe%3A++Sweet+Potato+%26amp%3B+Spinach+Breakfast+Strata++%E2%80%94+Breakfast+Recipes+from+The+Kitchn+-+https%3A%2F%2Ft.co%2FGe4Y89wUY0"],["Thu Sep 29 22:02:28 +0000 2016","VVagias","Compound 0.128 Negative 0.0 Neutral 0.8 Positive 0.2  ","120","RT+%40BigData_Fr%3A+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2Fl0cpnMqrna+%23BigData+%23Analytics"],["Thu Sep 29 22:02:28 +0000 2016","VVagias","Compound 0.128 Negative 0.0 Neutral 0.878 Positive 0.122  ","160","RT+%40PJAtlanta%3A+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal%3A+SAP+completed+it+acquisition+of+big+data+analytics+startup+Alti...+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 22:02:28 +0000 2016","PJAtlanta","Compound 0.128 Negative 0.0 Neutral 0.865 Positive 0.135  ","146","SAP+Expands+Hadoop+Reach+With+Altiscale+Deal%3A+SAP+completed+it+acquisition+of+big+data+analytics+startup+Alti...+https%3A%2F%2Ft.co%2FytroMGut4k"],["Thu Sep 29 22:02:27 +0000 2016","BigData_Fr","Compound 0.128 Negative 0.0 Neutral 0.762 Positive 0.238  ","100","SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2Fl0cpnMqrna+%23BigData+%23Analytics"],["Thu Sep 29 22:02:27 +0000 2016","AnalyticsFr","Compound 0.128 Negative 0.0 Neutral 0.762 Positive 0.238  ","100","SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2FSYQVnlZ6LN+%23BigData+%23Analytics"],["Thu Sep 29 22:02:26 +0000 2016","DamianoMe","Compound 0.3182 Negative 0.0 Neutral 0.813 Positive 0.187  ","145","ProsperWorks+raises+%2424M+for+its+Google-centric+CRM+solution+%23machinelearning+https%3A%2F%2Ft.co%2F3w6K8lr2pF+https%3A%2F%2Ft.co%2FmAGBLIwLBp"],["Thu Sep 29 22:02:18 +0000 2016","Mx3Metrics","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40Capgemini%3A+A+next+gen+platform+developed+with+%40cloudera+to+accelerate+your+transformation+to+%23bigdata+analytics.+https%3A%2F%2Ft.co%2FVG0RMI2pp%E2%80%A6"],["Thu Sep 29 22:02:16 +0000 2016","CloudExpoWire","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:02:13 +0000 2016","abunchofdata","Compound 0.7184 Negative 0.0 Neutral 0.7 Positive 0.3  ","135","Three+Things+Leaders+Can+Do+to+Help+New+Hires+Start+Strong+-+https%3A%2F%2Ft.co%2F4ngkTtA5rs+%23machinelearning+%23IoT+%23AI+%23BigData"],["Thu Sep 29 22:02:10 +0000 2016","itknowingness","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40Capgemini%3A+A+next+gen+platform+developed+with+%40cloudera+to+accelerate+your+transformation+to+%23bigdata+analytics.+https%3A%2F%2Ft.co%2FVG0RMI2pp%E2%80%A6"],["Thu Sep 29 22:02:09 +0000 2016","Capgemini","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","153","A+next+gen+platform+developed+with+%40cloudera+to+accelerate+your+transformation+to+%23bigdata+analytics.+https%3A%2F%2Ft.co%2FVG0RMI2ppD+%23StrataHadoop"],["Thu Sep 29 22:02:07 +0000 2016","McMcgregory","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","197","%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FCdJdFINfcn+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:02:06 +0000 2016","CloudExpoWire","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 22:02:06 +0000 2016","ArchersBodyCorp","Compound 0.0772 Negative 0.0 Neutral 0.915 Positive 0.085  ","124","Want+to+know+more+about+body+corporates%2C+owner+corporations+and+strata+schemes%3F+Read+on.+https%3A%2F%2Ft.co%2FawqWmAQB86"],["Thu Sep 29 22:02:04 +0000 2016","farashod","Compound -0.296 Negative 0.167 Neutral 0.833 Positive 0.0  ","120","Microsoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2Fau8JDrr0Af+%23MachineLearning"],["Thu Sep 29 22:01:59 +0000 2016","kunjal23","Compound 0.851 Negative 0.0 Neutral 0.492 Positive 0.508  ","131","Meet+%23HR%27s+Best+Friend+aka+%23GoogleAllo+%21%21%21+https%3A%2F%2Ft.co%2FyHqaoMOme7+%23MachineLearning+%23ArtificialIntelligence"],["Thu Sep 29 22:01:59 +0000 2016","LeapmanNatalie","Compound 0.7506 Negative 0.0 Neutral 0.619 Positive 0.381  ","107","Dextrousness+in+point+of+the+strata+mangers+good+graces+straight+a+strata+canniness+consort+with%3A+ISWqmqm"],["Thu Sep 29 22:01:58 +0000 2016","SeattleTechMntr","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","176","RT+%40WalmartLabs%3A+Indepth+%23DataScience+%26amp%3B+%23MachineLearning+podcast+w%2F+Yash+Kotresh+who+mines+massive+%23datasets+using+%23opensource.+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 22:01:58 +0000 2016","kunjal23","Compound 0.851 Negative 0.0 Neutral 0.492 Positive 0.508  ","131","Meet+%23HR%27s+Best+Friend+aka+%23GoogleAllo+%21%21%21+https%3A%2F%2Ft.co%2FL55i6Ltc2N+%23MachineLearning+%23ArtificialIntelligence"],["Thu Sep 29 22:01:55 +0000 2016","babettetenhaken","Compound 0.6588 Negative 0.0 Neutral 0.812 Positive 0.188  ","160","RT+%40Kevin_Jackson%3A+Great+to+see+%40data_nerd+and+%40babettetenhaken+%40strataconf+in+person+tonight+for+dinner%21+Two+genius+women+of+the+Twitterve%E2%80%A6"],["Thu Sep 29 22:01:52 +0000 2016","gilzdoan","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","168","RT+%40glskrcom%3A+Google%27s+approach+to+improving+its+conversational+style.+%23AI+%23machinelearning+%23tech+%23analytics+%23digital+%23marketing+%23socialmed%E2%80%A6"],["Thu Sep 29 22:01:41 +0000 2016","babettetenhaken","Compound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  ","126","RT+%40data_nerd%3A+%40Kevin_Jackson+Thank+you+so+much+Kevin%2C+we+think+you+rock++%F0%9F%98%80%40babettetenhaken+%40strataconf"],["Thu Sep 29 22:01:38 +0000 2016","AI__news","Compound 0.2263 Negative 0.0 Neutral 0.905 Positive 0.095  ","180","RT+%40abunchofdata%3A+Give+a+second+order+statement+true+in+%28R%2C%2B%29+but+false+in+%28Q%2C%2B%29+or+show+...+-+https%3A%2F%2Ft.co%2FJzowsAM1hh+%23machinelearning+%23Io%E2%80%A6"],["Thu Sep 29 22:01:38 +0000 2016","freyduni","Compound -0.296 Negative 0.167 Neutral 0.833 Positive 0.0  ","120","Microsoft%2C+Google+and+others+form+AI+consortium+-+no+Apple%2C+Tesla+https%3A%2F%2Ft.co%2FjvlKclhEoO+%23MachineLearning"],["Thu Sep 29 22:01:34 +0000 2016","DataVirtuoz","Compound 0.2263 Negative 0.0 Neutral 0.905 Positive 0.095  ","180","RT+%40abunchofdata%3A+Give+a+second+order+statement+true+in+%28R%2C%2B%29+but+false+in+%28Q%2C%2B%29+or+show+...+-+https%3A%2F%2Ft.co%2FJzowsAM1hh+%23machinelearning+%23Io%E2%80%A6"],["Thu Sep 29 22:01:30 +0000 2016","techgigs","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","Google%E2%80%99s+API.AI+Buy+Grows+Developers%E2%80%99+Toolkit+%23AI+%23MachineLearning+%23ChatBots+%23CloudSpeech+https%3A%2F%2Ft.co%2FOSsOTSv4DI+https%3A%2F%2Ft.co%2FPjqi4o1027"],["Thu Sep 29 22:01:28 +0000 2016","shakamunyi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","142","RT+%40data_gurus%3A+You+can+now+use+IBM+Big+SQL+on+Hortonworks+Data+Platform+%23hadoop+%23sqlhadoop+%23bigdata+https%3A%2F%2Ft.co%2FK1e4glxmPr"],["Thu Sep 29 22:01:27 +0000 2016","shakamunyi","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40BigDataReport_%3A+3+Industries+That+Will+Be+Transformed+By+%23AI%2C+Machine+Learning+And+Big+Data+In+The+Next+Decade+%23MachineLearning++https%3A%E2%80%A6"],["Thu Sep 29 22:01:24 +0000 2016","Pentaho","Compound 0.784 Negative 0.0 Neutral 0.566 Positive 0.434  ","100","Thank+you+%23StrataHadoop+or+a+great+event+-+see+you+in+Singapore%21+https%3A%2F%2Ft.co%2F7vXljSp422"],["Thu Sep 29 22:01:15 +0000 2016","INFA_BD","Compound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  ","101","Learn+to+turn+%23BigData+Into+Big+Value+With+Data+Lakes+https%3A%2F%2Ft.co%2F5obNYh9DfF+%40strataconf"],["Thu Sep 29 22:01:13 +0000 2016","CloudJobFair","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 22:01:10 +0000 2016","JSHDANIEL223","Compound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  ","176","RT+%40evankirstel%3A+Google+swallows+11%2C000+novels+to+improve+AI%27s+conversation+https%3A%2F%2Ft.co%2FxhV8PFNLAq+%23AI+%23MachineLearning+https%3A%2F%2Ft.co%2FVrDC7%E2%80%A6"],["Thu Sep 29 22:01:00 +0000 2016","data_gurus","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","122","You+can+now+use+IBM+Big+SQL+on+Hortonworks+Data+Platform+%23hadoop+%23sqlhadoop+%23bigdata+https%3A%2F%2Ft.co%2FK1e4glxmPr"],["Thu Sep 29 22:00:56 +0000 2016","abunchofdata","Compound 0.0772 Negative 0.0 Neutral 0.915 Positive 0.085  ","156","RT+%40Bigdatahires%3A+Attn+%23Machinelearning+%23developers+who+want+to+use+...+-+https%3A%2F%2Ft.co%2FFor3C3G40B+%23machinelearning+%23IoT+%23AI+%23BigData"],["Thu Sep 29 22:00:52 +0000 2016","dev_courses","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","146","Get+up+to+84%25+off+all+Udemy+online+courses+today%2C+inc.+%23hadoop+%26amp%3B+%23java+courses+--+use+https%3A%2F%2Ft.co%2FQ4aAEdZu4J+for+discount"],["Thu Sep 29 22:00:52 +0000 2016","IBMSparkJock","Compound 0.296 Negative 0.0 Neutral 0.879 Positive 0.121  ","158","What+is+all+the+hype+with+%23Spark%3F+Join+our+%23Meetup+in+%23Peoria+on+10%2F4+%23Apachespark+https%3A%2F%2Ft.co%2F8n33cxhIvF+https%3A%2F%2Ft.co%2FgvtylyQsAF"],["Thu Sep 29 22:00:46 +0000 2016","CloudJobFair","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","184","RT+%40ThingsExpo%3A+Competing+in+%23DigitalTransformation+%E2%96%B8+https%3A%2F%2Ft.co%2FQg1Bi94HN4+%23BigData+%23DataCenter+%23DevOps+%23IoT+%23M2M+%23MachineLearning+%23Cogn%E2%80%A6"],["Thu Sep 29 22:00:43 +0000 2016","janakikumar","Compound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  ","172","RT+%40SAPAppHaus%3A+Great+talk+about+%23Bots+%2B+%23ArtificialIntelligence+%23MachineLearning+%23NaturalLanguageProcessing+by+%40eswarpr+https%3A%2F%2Ft.co%2FUYBbg%E2%80%A6"],["Thu Sep 29 22:00:34 +0000 2016","davidjcc_Zgz","Compound 0.128 Negative 0.0 Neutral 0.8 Positive 0.2  ","106","%23big+data+%23data+%23tech+-+SAP+Expands+Hadoop+Reach+With+Altiscale+Deal+https%3A%2F%2Ft.co%2Faax4fiiJkh"],["Thu Sep 29 22:00:32 +0000 2016","abunchofdata","Compound 0.2263 Negative 0.0 Neutral 0.905 Positive 0.095  ","167","Give+a+second+order+statement+true+in+%28R%2C%2B%29+but+false+in+%28Q%2C%2B%29+or+show+...+-+https%3A%2F%2Ft.co%2FJzowsAM1hh+%23machinelearning+%23IoT+%23AI+%23BigData"],["Thu Sep 29 22:00:29 +0000 2016","CGS_Computers","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:00:24 +0000 2016","siprasad","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","106","Vendors+Pile+on+Big+Data+News+at+Strata+-+Enterprise+Apps+Today+https%3A%2F%2Ft.co%2F91AZzK1TNG+%23BigData"],["Thu Sep 29 22:00:17 +0000 2016","lucasoft_co_uk","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","64","-+keynote+from+Strata+%2B+Hadoop+https%3A%2F%2Ft.co%2F23KkPHbIKs"],["Thu Sep 29 22:00:15 +0000 2016","DataRobot","Compound 0.3164 Negative 0.0 Neutral 0.867 Positive 0.133  ","145","Our+customers+surpassed+the+110+million+mark+for+models+created+with+our+automated+%23machinelearning+platform%21+https%3A%2F%2Ft.co%2FxTA6dbpu0S"],["Thu Sep 29 22:00:11 +0000 2016","bhupenmistry","Compound 0.296 Negative 0.0 Neutral 0.855 Positive 0.145  ","163",".%40Google%2C+%40Facebook%2C+%40Amazon+join+forces+on+future+of+%23AI+-+BBC+News+https%3A%2F%2Ft.co%2FHJEhFX0KHy+%23MachineLearning+https%3A%2F%2Ft.co%2F6qU8EnDPKt"],["Thu Sep 29 22:00:08 +0000 2016","CloudJobFair","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40Sozohosting%3A+%5Bslides%5D+Large+Scale+%23MachineLearning+%7C+%40ThingsExpo+%23BigData+%23IoT+%23ML%3A+So%2C+you+bought+into+the+current+machin...+https%3A%2F%2Ft%E2%80%A6"],["Thu Sep 29 22:00:06 +0000 2016","mohammedisma","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","171","RT+%40SRobTweets%3A+Just+querying+terabytes+of+data+in+%26lt%3B+1+min+here+at+%23StrataHadoop+to+find+the+top+%40TensorFlo+repos+on+GitHub%2C+nbd+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 22:00:04 +0000 2016","stickercubic1","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","134","Derek+Jeter+Autograph+1994+Signature+Rookies+Baseball+Card+%2335+New+York+Yankees+by+Strata+Autographs+https%3A%2F%2Ft.co%2F50Lvbruomn"],["Thu Sep 29 22:00:03 +0000 2016","davenielsen","Compound 0.6588 Negative 0.0 Neutral 0.785 Positive 0.215  ","170","RT+%40Kevin_Jackson%3A+Great+to+catch+up+with+%40davenielsen+%40strataconf%21+Somehow+he+hooked+up+with+%40trustedanalytic+%23BigDataNYC+https%3A%2F%2Ft.co%2FGbS%E2%80%A6"],["Thu Sep 29 22:00:01 +0000 2016","v_vashishta","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","134","How+neuromorphic+%E2%80%98brain+chips%E2%80%99+will+begin+the+next+era+in+computing+https%3A%2F%2Ft.co%2FNUSIJVQ4la+%23MachineLearning"],["Thu Sep 29 21:59:59 +0000 2016","CloudJobFair","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","180","RT+%40CyberSec__News%3A+%5Bsession%5D+%23MachineLearning+and+%23InfoSec+%7C+%40CloudExpo+%40Symantec+%23ML+%23IoT+https%3A%2F%2Ft.co%2FNNeifd77co++%23internetofthings+http%E2%80%A6"],["Thu Sep 29 21:59:25 +0000 2016","Stas911","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","169","RT+%40amuellerml%3A+Scikit-learn+0.18+is+out%21+Update+now+with+conda+or+pip%21+Check+out+the+changelog+here%3A+https%3A%2F%2Ft.co%2Fza27b0cqJm+%23sklearn+%28at%E2%80%A6"],["Thu Sep 29 21:59:13 +0000 2016","abunchofdata","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","151","Deploy+Your+Predictive+Model+To+Production+-+https%3A%2F%2Ft.co%2FpDFtWSoh9B+%23machinelearning+%23IoT+%23AI+%23BigData+https%3A%2F%2Ft.co%2F7WAm8zEROL"],["Thu Sep 29 21:59:10 +0000 2016","DesignSoftware4","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","204","%23BigData+%23IoT+%23M2M+%23RTC+%23Java+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2F4oQwmwb9b1+%23IoT%E2%80%A6+https%3A%2F%2Ft.co%2FbvAZlfT7aj"],["Thu Sep 29 21:59:01 +0000 2016","DevOpsSummit","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 21:58:54 +0000 2016","classic_iot","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","Machine+Learning+%7C+%40CloudExpo+%23BigData+%23IoT+%23ML+%23MachineLearning+%7C+%40CloudExpo+https%3A%2F%2Ft.co%2Ftv52IGq89E+%23IoT+https%3A%2F%2Ft.co%2F2UBj6bxtb2"],["Thu Sep 29 21:58:51 +0000 2016","ReadmanLuke","Compound 0.5267 Negative 0.0 Neutral 0.773 Positive 0.227  ","162","RT+%40alex_woodie%3A+An+idea+from+Microsoft%27s+%40josephsirosh++worth+considering%3A+being+a+%23Datadonor+like+being+an+organization+donor.+%23StrataHad%E2%80%A6"],["Thu Sep 29 21:58:38 +0000 2016","SYSCONmedia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 21:58:30 +0000 2016","JeffsCards614","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","123","Ends+tomorrow%21+2015+Topps+Strata+Sammie+Coates+RC+Auto+Patch+SP+37%2F50+Steelers++https%3A%2F%2Ft.co%2Fpqw2O0YNbF+%40eBay"],["Thu Sep 29 21:58:18 +0000 2016","jimkaskade","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","95","Vendors+Pile+on+Big+Data+News+at+Strata+-+Enterprise+Apps+Today+https%3A%2F%2Ft.co%2FPvUU6fEjUq"],["Thu Sep 29 21:58:12 +0000 2016","Online_TrendsUS","Compound 0.4019 Negative 0.0 Neutral 0.838 Positive 0.162  ","140","Cambridge+Semantics+Announces+Anzo+Smart+Data+Lake+for+Enterprise+at+Strata+%2B+Hadoop+World+%23OnlineTrends+https%3A%2F%2Ft.co%2FyFXn9aC2tf"],["Thu Sep 29 21:58:08 +0000 2016","JeffsCards614","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","109","Ends+tomorrow%21+2016+Topps+Strata+Andre+Dawson+Auto+SP+24%2F25+Cubs++https%3A%2F%2Ft.co%2F86sEBoawec+%40eBay"],["Thu Sep 29 21:58:03 +0000 2016","coralblues","Compound 0.4926 Negative 0.0 Neutral 0.385 Positive 0.615  ","56","Thanks+%40Walmartlabs%21+https%3A%2F%2Ft.co%2Fz7VlFWkKgF"],["Thu Sep 29 21:57:52 +0000 2016","oc_tel","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+Universal+function+approximation+with+%23DeepLearning+%28in+Torch+and+R%29+https%3A%2F%2Ft.co%2Fu9s3AxGruE+%23abdsc+%23MachineLearning+%23DataS%E2%80%A6"],["Thu Sep 29 21:57:46 +0000 2016","djjojodancer","Compound 0.4754 Negative 0.0 Neutral 0.838 Positive 0.162  ","168","RT+%40DPKLABS_ORANGE%3A+The+Most+Popular+Programming+Languages+of+2016+https%3A%2F%2Ft.co%2FdFWtLijozm+%23javascript+%23java+%23PythonHack+%23Hadoop+get+in+the%E2%80%A6"],["Thu Sep 29 21:57:45 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","171","RT+%40KirkDBorne%3A+3+Things+About+%23DataScience+That+You+Won%27t+Find+In+Books%3A+https%3A%2F%2Ft.co%2FMpj1t3428l+%23BigData+%23MachineLearning+by+%40mikiobraun%E2%80%A6"],["Thu Sep 29 21:57:29 +0000 2016","ThingsExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 21:57:27 +0000 2016","abunchofdata","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","140","Data+Science+Weekly+-+Issue+149+-+https%3A%2F%2Ft.co%2FNdV5dqqubZ+%23machinelearning+%23IoT+%23AI+%23BigData+https%3A%2F%2Ft.co%2FA21zoNFvG9"],["Thu Sep 29 21:57:25 +0000 2016","JamesTillerINFA","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 21:57:25 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40KirkDBorne%3A+The+10+%23Algorithms+that+%23MachineLearning+Engineers+Need+to+Know%3A+https%3A%2F%2Ft.co%2FtgSWSgPiHR+%23AI+%23BigData+%23DataScience+https%3A%2F%2F%E2%80%A6"],["Thu Sep 29 21:57:22 +0000 2016","aexaeweb","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","172","RT+%40dataandme%3A+Great+intro+series%3A+%22Model+evaluation%2C+model+selection%2C+and+algorithm+selection+in+%23MachineLearning+%22+by+%40rasbt+https%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 21:57:15 +0000 2016","tejasterry","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","166","RT+%40Informatica%3A+%22We+wanted+flying+cars+and+instead+we+got+140+characters.%22+-+P.+Thiel+via+%40GaryMarcus+at+%23StrataHadoop+%23cloud+%23bigdata+%23so%E2%80%A6"],["Thu Sep 29 21:57:11 +0000 2016","meowzzzzzzzzz","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","163","RT+%40Micio1970%3A+My+presentation+%40singularityumi+about+%40bigdata+%23MachineLearning+%23NTTDATA+https%3A%2F%2Ft.co%2FuB20sdYxXQ+https%3A%2F%2Ft.co%2FUayoZrB7MN"],["Thu Sep 29 21:57:07 +0000 2016","Luanne","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","164","RT+%40nehanarkhede%3A+Annual+%23StrataHadoop+visit+at+the+%40ConfluentInc+from+the+famous+cuz+%28aka+the+U.S+Chief+Data+Scientist%29+%40DJ44.+See+how+we%27%E2%80%A6"],["Thu Sep 29 21:57:04 +0000 2016","RishuGarg5","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","162","RT+%40JohnM_Haddad%3A+TD+Ameritrade+%23StrataHadoop+has+4+zones+in+the+data+lake%3A+landing%2C+exploratory+analytics%2C+adv+analytics%2C+app+access+https%E2%80%A6"],["Thu Sep 29 21:57:04 +0000 2016","UKinfacareers","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","168","RT+%40strataconf%3A+Attending+%23StrataHadoop+NYC%3F+Prepare+with+free+Marketing+Data+Lake+Book+by+%40FranzAman+https%3A%2F%2Ft.co%2FQWEK0HkSIP+%23bigdata+http%E2%80%A6"],["Thu Sep 29 21:56:56 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40KirkDBorne%3A+16+analytic+disciplines+compared+to+%23DataScience%3A+https%3A%2F%2Ft.co%2FsDjPSYyiih+%23abdsc+%23BigData+%23MachineLearning+%23ORMS+%23Statistic%E2%80%A6"],["Thu Sep 29 21:56:48 +0000 2016","marcusborba","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","163","How+to+build+a+robot+that+%E2%80%9Csees%E2%80%9D+with+%24100+and+TensorFlow+https%3A%2F%2Ft.co%2FbaoJ4qLUkm+%23DataScience+%23DeepLearning+%23MachineLearning+%23AI"],["Thu Sep 29 21:56:47 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40KirkDBorne%3A+Essentials+of+%23MachineLearning+Algorithms+%28with+%23Python+and+R+Code%29+https%3A%2F%2Ft.co%2FR8bGXiFTvQ+%23abdsc+%23BigData+%23DataScience+ht%E2%80%A6"],["Thu Sep 29 21:56:47 +0000 2016","forwardtension","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%404everfusiongal%3A+Strata+and+Hadoop+World+is+about+to+close+and+there+is+still+a+crowd+for+%40hortonworks+DataFlow%2F%23ApacheNiFi%21%21+https%3A%2F%2Ft.%E2%80%A6"],["Thu Sep 29 21:56:46 +0000 2016","sjmitch74","Compound 0.5267 Negative 0.0 Neutral 0.773 Positive 0.227  ","162","RT+%40alex_woodie%3A+An+idea+from+Microsoft%27s+%40josephsirosh++worth+considering%3A+being+a+%23Datadonor+like+being+an+organization+donor.+%23StrataHad%E2%80%A6"],["Thu Sep 29 21:56:45 +0000 2016","BigDataExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 21:56:44 +0000 2016","VVagias","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","129","RT+%40ErichSap%3A+We+will+run+%23Hadoop+for+you+%2B+%23VORA+%40SAPInMemory+%40saphcp+%40Altiscale+https%3A%2F%2Ft.co%2FLXFyko1qaF"],["Thu Sep 29 21:56:43 +0000 2016","ErichSap","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","111","We+will+run+%23Hadoop+for+you+%2B+%23VORA+%40SAPInMemory+%40saphcp+%40Altiscale+https%3A%2F%2Ft.co%2FLXFyko1qaF"],["Thu Sep 29 21:56:33 +0000 2016","andrea_gioia","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","163","RT+%40Micio1970%3A+My+presentation+%40singularityumi+about+%40bigdata+%23MachineLearning+%23NTTDATA+https%3A%2F%2Ft.co%2FuB20sdYxXQ+https%3A%2F%2Ft.co%2FUayoZrB7MN"],["Thu Sep 29 21:56:27 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","179","RT+%40KirkDBorne%3A+Real-Time+Predictive+Modeling+%E2%80%94+making+it+real%3A+https%3A%2F%2Ft.co%2FFVs7gAL80Z+%23abdsc+%23IoT+%23MachineLearning+%23DataScience+%23BigData%E2%80%A6"],["Thu Sep 29 21:56:25 +0000 2016","VVagias","Compound 0.2023 Negative 0.0 Neutral 0.893 Positive 0.107  ","137","RT+%40djjojodancer%3A+Strata%2BHadoop+2016+New+York+City.+Top+10+Reasons+for+Visiting+Cisco.+Booth+%23833+https%3A%2F%2Ft.co%2FL9wNAgBX2W"],["Thu Sep 29 21:56:24 +0000 2016","djjojodancer","Compound 0.2023 Negative 0.0 Neutral 0.878 Positive 0.122  ","115","Strata%2BHadoop+2016+New+York+City.+Top+10+Reasons+for+Visiting+Cisco.+Booth+%23833+https%3A%2F%2Ft.co%2FL9wNAgBX2W"],["Thu Sep 29 21:56:20 +0000 2016","HAL_9000_AI","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","160","RT+%40BigDataReport_%3A+3+Industries+That+Will+Be+Transformed+By+%23AI%2C+Machine+Learning+And+Big+Data+In+The+Next+Decade+%23MachineLearning++https%3A%E2%80%A6"],["Thu Sep 29 21:56:17 +0000 2016","eikrid123","Compound 0.2023 Negative 0.0 Neutral 0.893 Positive 0.107  ","170","RT+%40KirkDBorne%3A+Top+10+Capabilities+for+Exploring+Complex+Relationships+in+Data%3A+https%3A%2F%2Ft.co%2F8lGAPE9WfF+%23abdsc+%23BigData+%23DataScience+%23Mach%E2%80%A6"],["Thu Sep 29 21:56:14 +0000 2016","forwardtension","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","138","RT+%40shaunconnolly%3A+Pushing+Hortonworks+to+the+edge+of+innovation+%7C+%23BigDataNYC+https%3A%2F%2Ft.co%2FWJqFA1vWbs+via+%40siliconangle"],["Thu Sep 29 21:56:13 +0000 2016","SandoudaS","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","82","just+finished+Hadoop+tutorial+from+%23tutorialspoint%2C%3D%26gt%3Bvery+interesting"],["Thu Sep 29 21:55:58 +0000 2016","inkalex","Compound -0.6997 Negative 0.344 Neutral 0.554 Positive 0.102  ","184","RT+%40Ronald_vanLoon%3A+K3OPS+PREVENTS+%E2%80%9CIOT%E2%80%9D+RISK+FROM+CYBER+ATTACKS+%7C+%23MachineLearning+%23IoT+%23RT+https%3A%2F%2Ft.co%2FiTo4a2y1P0+https%3A%2F%2Ft.co%2Fdi2vVakJCF"],["Thu Sep 29 21:55:56 +0000 2016","BigDataReport_","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","150","3+Industries+That+Will+Be+Transformed+By+%23AI%2C+Machine+Learning+And+Big+Data+In+The+Next+Decade+%23MachineLearning++https%3A%2F%2Ft.co%2FJdaOuoNt9u"],["Thu Sep 29 21:55:55 +0000 2016","itknowingness","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","200","RT+%40CloudExpo%3A+%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData+%23CognitiveComputing+%23Digita%E2%80%A6"],["Thu Sep 29 21:55:54 +0000 2016","CloudExpo","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","181","%5Bsession%5D+%23MachineLearning+%E2%80%93+It%E2%80%99s+All+About+the+Data+%E2%96%B8+https%3A%2F%2Ft.co%2FG2QQDG73El+%23IoT+%23ML+%23BigData%E2%80%A6+https%3A%2F%2Ft.co%2F6bBpGA6xV2"],["Thu Sep 29 21:55:50 +0000 2016","eikrid123","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","178","RT+%40KirkDBorne%3A+The+%23BigData+%23Analytics+Value+Chain+%28IEEE+event%2C+Sept.30%29+https%3A%2F%2Ft.co%2FKBFYnA8cL8+%23DataScience+%23MachineLearning+%23IoT+%23DS4SG%E2%80%A6"],["Thu Sep 29 21:55:41 +0000 2016","AWLITF","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","95","Vendors+Pile+on+Big+Data+News+at+Strata+-+Enterprise+Apps+Today+https%3A%2F%2Ft.co%2FDJVKVYyz71"],["Thu Sep 29 21:55:41 +0000 2016","eikrid123","Compound 0.4588 Negative 0.0 Neutral 0.7 Positive 0.3  ","184","RT+%40KirkDBorne%3A+My+favorite+Ensemble+%23MachineLearning+paper+%26gt%3B%26gt%3B+%22Good+Learners+for+Evil+Teachers%22+https%3A%2F%2Ft.co%2FMukKJ8bEkU+%23DataScience+by+%40M%E2%80%A6"],["Thu Sep 29 21:55:38 +0000 2016","nitinramrap","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40KirkDBorne%3A+%23MachineLearning+Exercises+in+%23Python%3A+https%3A%2F%2Ft.co%2Fcso7hrDryz+%23DataScience+by+%40jdwittenauer+HT+%40Ronald_vanLoon+https%3A%2F%2Ft.c%E2%80%A6"],["Thu Sep 29 21:55:35 +0000 2016","eikrid123","Compound 0.2023 Negative 0.0 Neutral 0.899 Positive 0.101  ","174","RT+%40KirkDBorne%3A+Top+10+%23MachineLearning+Articles+for+the+Past+Month%3A+https%3A%2F%2Ft.co%2FsA56Oe3Q3g+%23AI+%23BigData+%23DataScience+%23DeepLearning+HT+%40Ro%E2%80%A6"],["Thu Sep 29 21:55:26 +0000 2016","SteveVarner","Compound 0.8313 Negative 0.0 Neutral 0.507 Positive 0.493  ","190","RT+%40eric_kavanagh%3A+Kudos+to+%40jhurwitz+for+the+best+one-liner+yet%21%0A%E2%80%9CNo+one+mentioned+Hadoop.+I+heard+it%E2%80%99s+still+out+there%21%E2%80%9D%0A%23DataFirst+%40dez_%E2%80%A6"],["Thu Sep 29 21:55:09 +0000 2016","ITCrowdsource","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","169","RT+%40KirkDBorne%3A+40%2B+%23MachineLearning+Resources+and+Articles%3A+https%3A%2F%2Ft.co%2FDfapPvr7LH+%23abdsc+%23BigData+%23DataScience+https%3A%2F%2Ft.co%2FeTNOmqh466"],["Thu Sep 29 21:55:08 +0000 2016","LaurenatInfa","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 21:54:57 +0000 2016","KnowledgeBishop","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","172","RT+%40Informatica%3A+VIDEO%3A+%40RonenSchwartz+on+%23theCUBE+shares+ways+to+%22make+data+work+in+real-world+use+cases%22+https%3A%2F%2Ft.co%2FQ57jNNRINL+%40stratac%E2%80%A6"],["Thu Sep 29 21:54:52 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","178","RT+%40KirkDBorne%3A+Become+a+Cognitive+Business+w%2F+%23BigData+%23Analytics%3A+https%3A%2F%2Ft.co%2F7NvBZfU2sq+%23CDO+%23DataScience+%23MachineLearning+%23AI+HT+%40BigD%E2%80%A6"],["Thu Sep 29 21:54:47 +0000 2016","deepika_nov9","Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","174","RT+%40INFA_BD%3A+LIVE+at+%23StrataHadoop%3A+%40GaryMarcus+explains+the+move+%22from+%23BigData+to+human-level+artificial+intelligence%22+%23AI+https%3A%2F%2Ft.co%2FE%E2%80%A6"],["Thu Sep 29 21:54:44 +0000 2016","eikrid123","Compound 0.4019 Negative 0.0 Neutral 0.838 Positive 0.162  ","174","RT+%40KirkDBorne%3A+.%40MapR+Adds+New+Support+for+Event-Driven+%23Microservices%3A+https%3A%2F%2Ft.co%2F69OUMysiVC+%23IoT+%23BigData+%23Analytics+via+%40BigDataQtrly%E2%80%A6"],["Thu Sep 29 21:54:40 +0000 2016","SLawlerKennedy","Compound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  ","172","RT+%40SAPAppHaus%3A+Great+talk+about+%23Bots+%2B+%23ArtificialIntelligence+%23MachineLearning+%23NaturalLanguageProcessing+by+%40eswarpr+https%3A%2F%2Ft.co%2FUYBbg%E2%80%A6"],["Thu Sep 29 21:54:25 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","169","RT+%40KirkDBorne%3A+40%2B+%23MachineLearning+Resources+and+Articles%3A+https%3A%2F%2Ft.co%2FDfapPvr7LH+%23abdsc+%23BigData+%23DataScience+https%3A%2F%2Ft.co%2FeTNOmqh466"],["Thu Sep 29 21:54:10 +0000 2016","RamsesCoraspe","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+Universal+function+approximation+with+%23DeepLearning+%28in+Torch+and+R%29+https%3A%2F%2Ft.co%2Fu9s3AxGruE+%23abdsc+%23MachineLearning+%23DataS%E2%80%A6"],["Thu Sep 29 21:54:10 +0000 2016","spoiltbrat88","Compound 0.4329 Negative 0.0 Neutral 0.808 Positive 0.192  ","124","RT+%40OmerynOmeria%3A+Am+ready+for+monitor+sqoop+guys+%40spoiltbrat88+%40monitorsqoop+%40cnee84+%23TGIF+%23Howtobewhat%3F%3F"],["Thu Sep 29 21:54:02 +0000 2016","eikrid123","Compound 0.5106 Negative 0.0 Neutral 0.784 Positive 0.216  ","180","RT+%40KirkDBorne%3A+Fun+with+%23DataScience+Venn+Diagrams%3A+https%3A%2F%2Ft.co%2FnmG0ij1mxu+%23abdsc+%23BigData+%23MachineLearning+%23Statistics+https%3A%2F%2Ft.co%2FSIaX%E2%80%A6"],["Thu Sep 29 21:53:56 +0000 2016","Werner_INFA","Compound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  ","162","RT+%40parikhash%3A+what+it+takes+to+succeed+with+%23datalake+-+think+u+can+do+it+with++point+solutions+%2F+code+generators%3F+%40Informatica+%23StrataHad%E2%80%A6"],["Thu Sep 29 21:53:54 +0000 2016","DormainDrewitz","Compound -0.1655 Negative 0.084 Neutral 0.916 Positive 0.0  ","182","RT+%40BigData_paulz%3A+Odd+in+last+yrs+%23HortonWorks+insisted+%23Hive+answer+for+%23SQL+%23Hadoop%2C+but+now+pushes+HDB+%28%23Hawq%29+%26amp%3B+%23Cloudera+%23Kudu+doesn%27%E2%80%A6"],["Thu Sep 29 21:53:48 +0000 2016","binaryloom","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+3+Industries+That+Will+Be+Transformed+By+%23AI%2C+%23MachineLearning+And+%23BigData+In+The+Next+Decade%3A+https%3A%2F%2Ft.co%2Fm639rryyQL+%23he%E2%80%A6"],["Thu Sep 29 21:53:40 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","177","RT+%40KirkDBorne%3A+Using+%23DataScience+and+%23MachineLearning+to+Revolutionize+360%C2%B0+Customer+Views%3A+https%3A%2F%2Ft.co%2F5Eiko3A0OE+%23BigData+%23CX+by+%40caro%E2%80%A6"],["Thu Sep 29 21:53:36 +0000 2016","WaynePullam","Compound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  ","170","RT+%40INFA_BD%3A+LIVE++at+%23StrataHadoop%3A+Princeton%27s+Sam+Wang+discusses+statistics%2C+machine+learning%2C+and+the+%22crazy+2016+election.%22+%23govit+%23po%E2%80%A6"],["Thu Sep 29 21:53:34 +0000 2016","eikrid123","Compound 0.4019 Negative 0.0 Neutral 0.828 Positive 0.172  ","174","RT+%40KirkDBorne%3A+Automated+%23SentimentAnalysis+for+the+Smart+Business%3A+https%3A%2F%2Ft.co%2FwAz4bVFiON+%23abdsc+%23Social+%23BigData+%23DataScience+%23MachineL%E2%80%A6"],["Thu Sep 29 21:53:28 +0000 2016","eikrid123","Compound 0.5794 Negative 0.0 Neutral 0.776 Positive 0.224  ","184","RT+%40KirkDBorne%3A+World%E2%80%99s+most+ambitious+%23SmartCity+project%3A+https%3A%2F%2Ft.co%2FjHca0W8icQ+%23abdsc+%23BigData+%23DataScience+%23IoT+%23HudsonYards+%23MachineL%E2%80%A6"],["Thu Sep 29 21:53:24 +0000 2016","eikrid123","Compound 0.4215 Negative 0.0 Neutral 0.774 Positive 0.226  ","176","RT+%40KirkDBorne%3A+The+Importance+of+%23SmartCities+Challenges%3A+https%3A%2F%2Ft.co%2FUbHmGrbB9M+%23abdsc+%23BigData+%23DataScience+%23MachineLearning+%23IoT+via+%40%E2%80%A6"],["Thu Sep 29 21:53:19 +0000 2016","kumarrishiraj","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","154","RT+%40cutting%3A+%22Every+data+science+training+program+must+include+ethics+%26amp%3B+security.%22+%40DJ44%2C+U.S.+Chief+Data+Scientist+at+%23StrataHadoop"],["Thu Sep 29 21:53:18 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","186","RT+%40KirkDBorne%3A+How+%23BigData+%26amp%3B+the+%23IoT+Create+%23SmartCities%3A+https%3A%2F%2Ft.co%2FTlelSAh03Z+%23abdsc+%23Analytics+%23DataScience+%23MachineLearning+%23AI+ht%E2%80%A6"],["Thu Sep 29 21:53:15 +0000 2016","_MondoBizarro_","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","169","RT+%40amuellerml%3A+Scikit-learn+0.18+is+out%21+Update+now+with+conda+or+pip%21+Check+out+the+changelog+here%3A+https%3A%2F%2Ft.co%2Fza27b0cqJm+%23sklearn+%28at%E2%80%A6"],["Thu Sep 29 21:53:02 +0000 2016","TrackBots","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40jporcenaluk%3A+Study+the+road+AND+driver%2C+then+use+%23machinelearning+to+make+autonomous+car+decisions.+Genius%2C+Nvidia.%0A%0A%23IoT%0A%0Ahttps%3A%2F%2Ft.co%E2%80%A6"],["Thu Sep 29 21:52:58 +0000 2016","debwalery","Compound 0.4696 Negative 0.0 Neutral 0.787 Positive 0.213  ","174","RT+%40INFA_BD%3A+Want+the+secret+to+getting+Business+Value+from+%23BigData%3F+Read+the+Workbook+https%3A%2F%2Ft.co%2F5iHWsK9lJy+%23stratahadoop+https%3A%2F%2Ft.co%2F%E2%80%A6"],["Thu Sep 29 21:52:50 +0000 2016","ITCrowdsource","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+Universal+function+approximation+with+%23DeepLearning+%28in+Torch+and+R%29+https%3A%2F%2Ft.co%2Fu9s3AxGruE+%23abdsc+%23MachineLearning+%23DataS%E2%80%A6"],["Thu Sep 29 21:52:35 +0000 2016","Informatica","Compound 0.296 Negative 0.0 Neutral 0.872 Positive 0.128  ","172","VIDEO%3A+%40RonenSchwartz+on+%23theCUBE+shares+ways+to+%22make+data+work+in+real-world+use+cases%22+https%3A%2F%2Ft.co%2FQ57jNNRINL%E2%80%A6+https%3A%2F%2Ft.co%2F18Tj2FTdkg"],["Thu Sep 29 21:52:30 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+3+Industries+That+Will+Be+Transformed+By+%23AI%2C+%23MachineLearning+And+%23BigData+In+The+Next+Decade%3A+https%3A%2F%2Ft.co%2Fm639rryyQL+%23he%E2%80%A6"],["Thu Sep 29 21:52:17 +0000 2016","getCNCreative","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","168","RT+%40ScalableDisplay%3A+%40collectivenext+scribing+for+%40suchisaria+on+%23machinelearning+for+%23TEDxBoston+%23huddlewall+%23AI+%23avtweeps++%23technology+ht%E2%80%A6"],["Thu Sep 29 21:51:59 +0000 2016","eikrid123","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","168","RT+%40KirkDBorne%3A+16+Great+Blogs+Posted+in+the+last+12+Months+at+%40DataScienceCtrl+https%3A%2F%2Ft.co%2F04Y8pEI9vY+%23BigData+%23DataScience+%23MachineLearn%E2%80%A6"],["Thu Sep 29 21:51:56 +0000 2016","EnterpriseTek","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","72","%23SAP+seals+%23Altiscale+deal+%23Hadoop+https%3A%2F%2Ft.co%2F1GhFUx9saf"],["Thu Sep 29 21:51:52 +0000 2016","eikrid123","Compound -0.4329 Negative 0.16 Neutral 0.84 Positive 0.0  ","182","RT+%40KirkDBorne%3A+A+Primer+in+Adversarial+%23MachineLearning+%E2%80%93+The+Next+Advance+in+%23AI%3A+https%3A%2F%2Ft.co%2Frj0KvWwcop+%23abdsc+%23BigData+%23DataScience+%23D%E2%80%A6"],["Thu Sep 29 21:51:48 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+Universal+function+approximation+with+%23DeepLearning+%28in+Torch+and+R%29+https%3A%2F%2Ft.co%2Fu9s3AxGruE+%23abdsc+%23MachineLearning+%23DataS%E2%80%A6"],["Thu Sep 29 21:51:39 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40KirkDBorne%3A+24+Uses+of+Statistical+Modeling+%28Part+II%29+https%3A%2F%2Ft.co%2FesFtipGCmt+%23abdsc+%23BigData+%23DataScience+%23Statistics+%23MachineLearning%E2%80%A6"],["Thu Sep 29 21:51:36 +0000 2016","cwiebe66","Compound 0.765 Negative 0.0 Neutral 0.752 Positive 0.248  ","158","RT+%40slangenfeld%3A+Ready+for+my+moment+today+for+%40Alation+on+%23theCUBE+Presenting+with+%40Teradata+on+QueryGrid+and+Presto.+Great+wrap-up+for+us%E2%80%A6"],["Thu Sep 29 21:51:22 +0000 2016","msouthern9","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","160","RT+%40Informatica%3A+%22The+US+Chief+Data+Scientist+must+responsibly+release+the+power+of+data+to+benefit+ALL+Americans%22+-+%40dj44+at+%23StrataHadoop%E2%80%A6"],["Thu Sep 29 21:51:18 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","174","RT+%40KirkDBorne%3A+Build+a+basic+recommender+engine+using+R%3A+https%3A%2F%2Ft.co%2F9z5yfPjchh+%23abdsc+%23BigData+%23DataScience+%23RecSys+%23Rstats+%23MachineLear%E2%80%A6"],["Thu Sep 29 21:51:06 +0000 2016","eikrid123","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","172","RT+%40KirkDBorne%3A+Collaborative+Filtering+Recommender+Systems%3A+Item-Based+approach%0Ahttps%3A%2F%2Ft.co%2F5ogCxStc7O+%23abdsc+%23DataScience+%23RecSys+%23Machi%E2%80%A6"],["Thu Sep 29 21:51:04 +0000 2016","BigData_Stephen","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","165","LogTrust+MSSP+client+Testimonial+video%3A+https%3A%2F%2Ft.co%2FLmSbnSVkrX+%23strataconf+%23stratahadoop+%23MSSP+%23Hadoop+%23Splunk+%23SIEM+%23SIM+%23SEM+%23Cloudera"]]},"dateCreated":"2016-09-29T13:47:19+0000","dateStarted":"2016-09-30T17:50:22+0000","dateFinished":"2016-09-30T17:50:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:302"},{"text":"%angular\n\n<!-- place this in an %angular paragraph -->\n\n<link rel=\"stylesheet\" href=\"https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.7/leaflet.css\" />\n<div id=\"map\" style=\"height: 800px; width: 100%\"></div>\n\n<script type=\"text/javascript\">\nfunction initMap() {\n    var map = L.map('map').setView([40.45, -73.4],13);\n\n    L.tileLayer('http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {\n        attribution: 'Map data &copy; <a href=\"http://openstreetmap.org\">OpenStreetMap</a> contributors',\n        maxZoom: 12,\n        minZoom: 3\n    }).addTo(map);\n\n    var geoMarkers = L.layerGroup().addTo(map);\n    \n    var el = angular.element($('#map').parent('.ng-scope'));\n    angular.element(el).ready(function() {\n        window.locationWatcher = el.scope().compiledScope.$watch('locations', function(newValue, oldValue) {\n            // geoMarkers.clearLayers(); -- if you want to only show new data clear the layer first\n            angular.forEach(newValue, function(tweet) {\n                var marker = L.marker([ tweet.loc.lat, tweet.loc.lon ])\n                  .bindPopup(tweet.user + \": \" + tweet.tweet)\n                  .addTo(geoMarkers);\n            });\n        })\n    });\n}\n\nif (window.locationWatcher) {\n    // clear existing watcher otherwise we'll have duplicates\n    window.locationWatcher();\n}\n\n// ensure we only load the script once, seems to cause issues otherwise\nif (window.L) {\n    initMap();\n} else {\n    console.log('Loading Leaflet library');\n    var sc = document.createElement('script');\n    sc.type = 'text/javascript';\n    sc.src = 'https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.7/leaflet.js';\n    sc.onload = initMap;\n    sc.onerror = function(err) { alert(err); }\n    document.getElementsByTagName('head')[0].appendChild(sc);\n}\n</script>","dateUpdated":"2016-09-29T14:43:14+0000","config":{"tableHide":true,"colWidth":12,"editorMode":"ace/mode/scala","editorHide":true,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475156839048_1379995465","id":"20160927-021922_1486226846","result":{"code":"SUCCESS","type":"ANGULAR","msg":"<!-- place this in an %angular paragraph -->\n\n<link rel=\"stylesheet\" href=\"https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.7/leaflet.css\" />\n<div id=\"map\" style=\"height: 800px; width: 100%\"></div>\n\n<script type=\"text/javascript\">\nfunction initMap() {\n    var map = L.map('map').setView([40.45, -73.4],13);\n\n    L.tileLayer('http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {\n        attribution: 'Map data &copy; <a href=\"http://openstreetmap.org\">OpenStreetMap</a> contributors',\n        maxZoom: 12,\n        minZoom: 3\n    }).addTo(map);\n\n    var geoMarkers = L.layerGroup().addTo(map);\n    \n    var el = angular.element($('#map').parent('.ng-scope'));\n    angular.element(el).ready(function() {\n        window.locationWatcher = el.scope().compiledScope.$watch('locations', function(newValue, oldValue) {\n            // geoMarkers.clearLayers(); -- if you want to only show new data clear the layer first\n            angular.forEach(newValue, function(tweet) {\n                var marker = L.marker([ tweet.loc.lat, tweet.loc.lon ])\n                  .bindPopup(tweet.user + \": \" + tweet.tweet)\n                  .addTo(geoMarkers);\n            });\n        })\n    });\n}\n\nif (window.locationWatcher) {\n    // clear existing watcher otherwise we'll have duplicates\n    window.locationWatcher();\n}\n\n// ensure we only load the script once, seems to cause issues otherwise\nif (window.L) {\n    initMap();\n} else {\n    console.log('Loading Leaflet library');\n    var sc = document.createElement('script');\n    sc.type = 'text/javascript';\n    sc.src = 'https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.7/leaflet.js';\n    sc.onload = initMap;\n    sc.onerror = function(err) { alert(err); }\n    document.getElementsByTagName('head')[0].appendChild(sc);\n}\n</script>"},"dateCreated":"2016-09-29T13:47:19+0000","status":"READY","errorMessage":"","progressUpdateIntervalMs":500,"$$hashKey":"object:303"},{"text":"%phoenix\n\nselect sentiment, count(1) from tweets group by sentiment","dateUpdated":"2016-09-30T22:32:21+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[{"name":"SENTIMENT","index":0,"aggr":"sum"}],"values":[{"name":"COUNT(1)","index":1,"aggr":"sum"}],"groups":[],"scatter":{"xAxis":{"name":"SENTIMENT","index":0,"aggr":"sum"},"yAxis":{"name":"COUNT(1)","index":1,"aggr":"sum"}}},"enabled":true,"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475160028235_465385436","id":"20160929-144028_714304710","result":{"code":"SUCCESS","type":"TABLE","msg":"SENTIMENT\tCOUNT(1)\nCompound -0.0191 Negative 0.067 Neutral 0.933 Positive 0.0  \t1\nCompound -0.0258 Negative 0.103 Neutral 0.798 Positive 0.099  \t1\nCompound -0.0258 Negative 0.177 Neutral 0.698 Positive 0.126  \t1\nCompound -0.0258 Negative 0.191 Neutral 0.674 Positive 0.134  \t1\nCompound -0.0314 Negative 0.137 Neutral 0.731 Positive 0.132  \t1\nCompound -0.0498 Negative 0.127 Neutral 0.754 Positive 0.118  \t1\nCompound -0.0516 Negative 0.081 Neutral 0.846 Positive 0.073  \t1\nCompound -0.0516 Negative 0.085 Neutral 0.915 Positive 0.0  \t1\nCompound -0.0516 Negative 0.091 Neutral 0.909 Positive 0.0  \t1\nCompound -0.0516 Negative 0.097 Neutral 0.816 Positive 0.087  \t1\nCompound -0.0516 Negative 0.128 Neutral 0.756 Positive 0.116  \t1\nCompound -0.0516 Negative 0.144 Neutral 0.688 Positive 0.169  \t1\nCompound -0.0516 Negative 0.175 Neutral 0.667 Positive 0.158  \t1\nCompound -0.0516 Negative 0.241 Neutral 0.536 Positive 0.223  \t1\nCompound -0.0572 Negative 0.086 Neutral 0.914 Positive 0.0  \t1\nCompound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  \t6\nCompound -0.0762 Negative 0.096 Neutral 0.825 Positive 0.079  \t1\nCompound -0.0772 Negative 0.064 Neutral 0.936 Positive 0.0  \t1\nCompound -0.0772 Negative 0.104 Neutral 0.806 Positive 0.09  \t2\nCompound -0.0772 Negative 0.115 Neutral 0.781 Positive 0.104  \t1\nCompound -0.0772 Negative 0.115 Neutral 0.785 Positive 0.099  \t1\nCompound -0.1027 Negative 0.072 Neutral 0.928 Positive 0.0  \t1\nCompound -0.1027 Negative 0.125 Neutral 0.769 Positive 0.106  \t1\nCompound -0.1027 Negative 0.138 Neutral 0.75 Positive 0.113  \t1\nCompound -0.1027 Negative 0.211 Neutral 0.602 Positive 0.187  \t1\nCompound -0.1027 Negative 0.221 Neutral 0.632 Positive 0.147  \t1\nCompound -0.1027 Negative 0.318 Neutral 0.682 Positive 0.0  \t1\nCompound -0.1179 Negative 0.141 Neutral 0.739 Positive 0.12  \t2\nCompound -0.1179 Negative 0.148 Neutral 0.726 Positive 0.126  \t3\nCompound -0.1179 Negative 0.164 Neutral 0.697 Positive 0.139  \t1\nCompound -0.126 Negative 0.116 Neutral 0.791 Positive 0.093  \t1\nCompound -0.128 Negative 0.091 Neutral 0.909 Positive 0.0  \t1\nCompound -0.128 Negative 0.103 Neutral 0.897 Positive 0.0  \t1\nCompound -0.128 Negative 0.111 Neutral 0.889 Positive 0.0  \t3\nCompound -0.128 Negative 0.12 Neutral 0.88 Positive 0.0  \t3\nCompound -0.128 Negative 0.13 Neutral 0.87 Positive 0.0  \t5\nCompound -0.128 Negative 0.143 Neutral 0.857 Positive 0.0  \t1\nCompound -0.128 Negative 0.146 Neutral 0.73 Positive 0.124  \t1\nCompound -0.128 Negative 0.158 Neutral 0.842 Positive 0.0  \t1\nCompound -0.128 Negative 0.176 Neutral 0.824 Positive 0.0  \t1\nCompound -0.1414 Negative 0.13 Neutral 0.764 Positive 0.106  \t2\nCompound -0.1461 Negative 0.101 Neutral 0.821 Positive 0.078  \t1\nCompound -0.1531 Negative 0.091 Neutral 0.909 Positive 0.0  \t3\nCompound -0.1531 Negative 0.137 Neutral 0.752 Positive 0.111  \t1\nCompound -0.1531 Negative 0.138 Neutral 0.862 Positive 0.0  \t1\nCompound -0.1531 Negative 0.194 Neutral 0.647 Positive 0.159  \t1\nCompound -0.1531 Negative 0.233 Neutral 0.603 Positive 0.164  \t1\nCompound -0.1655 Negative 0.084 Neutral 0.916 Positive 0.0  \t1\nCompound -0.168 Negative 0.132 Neutral 0.771 Positive 0.098  \t1\nCompound -0.1761 Negative 0.096 Neutral 0.904 Positive 0.0  \t1\nCompound -0.1779 Negative 0.137 Neutral 0.761 Positive 0.102  \t2\nCompound -0.1779 Negative 0.144 Neutral 0.749 Positive 0.107  \t1\nCompound -0.1779 Negative 0.164 Neutral 0.71 Positive 0.126  \t1\nCompound -0.1779 Negative 0.172 Neutral 0.69 Positive 0.138  \t6\nCompound -0.1779 Negative 0.191 Neutral 0.656 Positive 0.153  \t1\nCompound -0.1779 Negative 0.192 Neutral 0.659 Positive 0.15  \t1\nCompound -0.1779 Negative 0.221 Neutral 0.779 Positive 0.0  \t2\nCompound -0.2003 Negative 0.121 Neutral 0.879 Positive 0.0  \t1\nCompound -0.2003 Negative 0.14 Neutral 0.86 Positive 0.0  \t1\nCompound -0.2023 Negative 0.091 Neutral 0.909 Positive 0.0  \t1\nCompound -0.2023 Negative 0.141 Neutral 0.859 Positive 0.0  \t1\nCompound -0.2023 Negative 0.167 Neutral 0.833 Positive 0.0  \t1\nCompound -0.2134 Negative 0.119 Neutral 0.797 Positive 0.084  \t1\nCompound -0.2134 Negative 0.125 Neutral 0.788 Positive 0.088  \t1\nCompound -0.2244 Negative 0.345 Neutral 0.376 Positive 0.278  \t1\nCompound -0.2263 Negative 0.102 Neutral 0.837 Positive 0.06  \t4\nCompound -0.2263 Negative 0.113 Neutral 0.821 Positive 0.067  \t1\nCompound -0.2263 Negative 0.128 Neutral 0.872 Positive 0.0  \t1\nCompound -0.2263 Negative 0.132 Neutral 0.78 Positive 0.088  \t1\nCompound -0.2263 Negative 0.138 Neutral 0.769 Positive 0.092  \t1\nCompound -0.2263 Negative 0.146 Neutral 0.757 Positive 0.097  \t1\nCompound -0.2263 Negative 0.147 Neutral 0.853 Positive 0.0  \t1\nCompound -0.2263 Negative 0.174 Neutral 0.826 Positive 0.0  \t1\nCompound -0.2263 Negative 0.213 Neutral 0.787 Positive 0.0  \t1\nCompound -0.2263 Negative 0.318 Neutral 0.471 Positive 0.212  \t1\nCompound -0.232 Negative 0.143 Neutral 0.761 Positive 0.096  \t1\nCompound -0.2406 Negative 0.254 Neutral 0.611 Positive 0.134  \t4\nCompound -0.2415 Negative 0.154 Neutral 0.734 Positive 0.112  \t1\nCompound -0.2481 Negative 0.143 Neutral 0.762 Positive 0.095  \t2\nCompound -0.2481 Negative 0.166 Neutral 0.834 Positive 0.0  \t1\nCompound -0.25 Negative 0.125 Neutral 0.875 Positive 0.0  \t1\nCompound -0.25 Negative 0.15 Neutral 0.85 Positive 0.0  \t1\nCompound -0.25 Negative 0.153 Neutral 0.764 Positive 0.083  \t1\nCompound -0.25 Negative 0.154 Neutral 0.846 Positive 0.0  \t4\nCompound -0.25 Negative 0.182 Neutral 0.818 Positive 0.0  \t6\nCompound -0.25 Negative 0.191 Neutral 0.674 Positive 0.135  \t2\nCompound -0.25 Negative 0.198 Neutral 0.685 Positive 0.117  \t1\nCompound -0.25 Negative 0.202 Neutral 0.655 Positive 0.143  \t1\nCompound -0.25 Negative 0.212 Neutral 0.664 Positive 0.124  \t1\nCompound -0.25 Negative 0.215 Neutral 0.633 Positive 0.152  \t1\nCompound -0.25 Negative 0.24 Neutral 0.584 Positive 0.175  \t1\nCompound -0.2593 Negative 0.156 Neutral 0.844 Positive 0.0  \t1\nCompound -0.2732 Negative 0.1 Neutral 0.9 Positive 0.0  \t1\nCompound -0.2732 Negative 0.108 Neutral 0.837 Positive 0.054  \t1\nCompound -0.2732 Negative 0.11 Neutral 0.89 Positive 0.0  \t2\nCompound -0.2732 Negative 0.116 Neutral 0.884 Positive 0.0  \t2\nCompound -0.2732 Negative 0.117 Neutral 0.81 Positive 0.073  \t13\nCompound -0.2732 Negative 0.123 Neutral 0.877 Positive 0.0  \t1\nCompound -0.2732 Negative 0.128 Neutral 0.793 Positive 0.079  \t1\nCompound -0.2732 Negative 0.13 Neutral 0.87 Positive 0.0  \t2\nCompound -0.2732 Negative 0.135 Neutral 0.798 Positive 0.067  \t1\nCompound -0.2732 Negative 0.139 Neutral 0.861 Positive 0.0  \t3\nCompound -0.2732 Negative 0.149 Neutral 0.851 Positive 0.0  \t1\nCompound -0.2732 Negative 0.16 Neutral 0.84 Positive 0.0  \t1\nCompound -0.2732 Negative 0.174 Neutral 0.719 Positive 0.108  \t1\nCompound -0.2732 Negative 0.174 Neutral 0.826 Positive 0.0  \t1\nCompound -0.2732 Negative 0.179 Neutral 0.697 Positive 0.124  \t1\nCompound -0.2732 Negative 0.189 Neutral 0.811 Positive 0.0  \t2\nCompound -0.2732 Negative 0.259 Neutral 0.741 Positive 0.0  \t1\nCompound -0.2755 Negative 0.15 Neutral 0.85 Positive 0.0  \t1\nCompound -0.2755 Negative 0.161 Neutral 0.839 Positive 0.0  \t1\nCompound -0.2808 Negative 0.516 Neutral 0.484 Positive 0.0  \t1\nCompound -0.2846 Negative 0.329 Neutral 0.444 Positive 0.227  \t1\nCompound -0.2924 Negative 0.267 Neutral 0.733 Positive 0.0  \t1\nCompound -0.2942 Negative 0.097 Neutral 0.853 Positive 0.05  \t1\nCompound -0.296 Negative 0.095 Neutral 0.905 Positive 0.0  \t1\nCompound -0.296 Negative 0.099 Neutral 0.901 Positive 0.0  \t5\nCompound -0.296 Negative 0.104 Neutral 0.896 Positive 0.0  \t6\nCompound -0.296 Negative 0.109 Neutral 0.891 Positive 0.0  \t2\nCompound -0.296 Negative 0.115 Neutral 0.885 Positive 0.0  \t11\nCompound -0.296 Negative 0.121 Neutral 0.879 Positive 0.0  \t6\nCompound -0.296 Negative 0.128 Neutral 0.872 Positive 0.0  \t2\nCompound -0.296 Negative 0.136 Neutral 0.864 Positive 0.0  \t9\nCompound -0.296 Negative 0.145 Neutral 0.855 Positive 0.0  \t13\nCompound -0.296 Negative 0.155 Neutral 0.845 Positive 0.0  \t4\nCompound -0.296 Negative 0.167 Neutral 0.833 Positive 0.0  \t6\nCompound -0.296 Negative 0.169 Neutral 0.743 Positive 0.088  \t1\nCompound -0.296 Negative 0.18 Neutral 0.82 Positive 0.0  \t2\nCompound -0.296 Negative 0.196 Neutral 0.804 Positive 0.0  \t1\nCompound -0.296 Negative 0.216 Neutral 0.784 Positive 0.0  \t2\nCompound -0.296 Negative 0.239 Neutral 0.761 Positive 0.0  \t1\nCompound -0.296 Negative 0.306 Neutral 0.694 Positive 0.0  \t1\nCompound -0.3076 Negative 0.106 Neutral 0.894 Positive 0.0  \t1\nCompound -0.3182 Negative 0.123 Neutral 0.821 Positive 0.056  \t1\nCompound -0.3182 Negative 0.126 Neutral 0.874 Positive 0.0  \t1\nCompound -0.3182 Negative 0.15 Neutral 0.85 Positive 0.0  \t3\nCompound -0.3182 Negative 0.168 Neutral 0.741 Positive 0.091  \t3\nCompound -0.3182 Negative 0.173 Neutral 0.827 Positive 0.0  \t2\nCompound -0.3182 Negative 0.187 Neutral 0.712 Positive 0.101  \t1\nCompound -0.3182 Negative 0.204 Neutral 0.796 Positive 0.0  \t1\nCompound -0.3182 Negative 0.223 Neutral 0.777 Positive 0.0  \t1\nCompound -0.3182 Negative 0.247 Neutral 0.753 Positive 0.0  \t4\nCompound -0.3182 Negative 0.315 Neutral 0.685 Positive 0.0  \t1\nCompound -0.3241 Negative 0.114 Neutral 0.886 Positive 0.0  \t1\nCompound -0.3241 Negative 0.12 Neutral 0.88 Positive 0.0  \t1\nCompound -0.3241 Negative 0.127 Neutral 0.873 Positive 0.0  \t1\nCompound -0.3252 Negative 0.175 Neutral 0.825 Positive 0.0  \t1\nCompound -0.3291 Negative 0.164 Neutral 0.836 Positive 0.0  \t1\nCompound -0.3365 Negative 0.371 Neutral 0.358 Positive 0.272  \t1\nCompound -0.3382 Negative 0.094 Neutral 0.906 Positive 0.0  \t1\nCompound -0.3382 Negative 0.102 Neutral 0.898 Positive 0.0  \t1\nCompound -0.3382 Negative 0.112 Neutral 0.888 Positive 0.0  \t1\nCompound -0.34 Negative 0.112 Neutral 0.888 Positive 0.0  \t1\nCompound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  \t21\nCompound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  \t14\nCompound -0.34 Negative 0.138 Neutral 0.862 Positive 0.0  \t2\nCompound -0.34 Negative 0.165 Neutral 0.759 Positive 0.076  \t1\nCompound -0.34 Negative 0.167 Neutral 0.735 Positive 0.098  \t1\nCompound -0.34 Negative 0.167 Neutral 0.833 Positive 0.0  \t12\nCompound -0.34 Negative 0.179 Neutral 0.821 Positive 0.0  \t1\nCompound -0.34 Negative 0.188 Neutral 0.725 Positive 0.087  \t1\nCompound -0.34 Negative 0.194 Neutral 0.806 Positive 0.0  \t3\nCompound -0.3578 Negative 0.111 Neutral 0.837 Positive 0.052  \t2\nCompound -0.3578 Negative 0.126 Neutral 0.815 Positive 0.059  \t1\nCompound -0.3595 Negative 0.106 Neutral 0.894 Positive 0.0  \t1\nCompound -0.3595 Negative 0.128 Neutral 0.872 Positive 0.0  \t1\nCompound -0.3595 Negative 0.135 Neutral 0.865 Positive 0.0  \t5\nCompound -0.3595 Negative 0.142 Neutral 0.858 Positive 0.0  \t1\nCompound -0.3595 Negative 0.151 Neutral 0.849 Positive 0.0  \t3\nCompound -0.3595 Negative 0.199 Neutral 0.801 Positive 0.0  \t3\nCompound -0.3612 Negative 0.122 Neutral 0.878 Positive 0.0  \t1\nCompound -0.3612 Negative 0.161 Neutral 0.839 Positive 0.0  \t2\nCompound -0.3612 Negative 0.172 Neutral 0.828 Positive 0.0  \t2\nCompound -0.3612 Negative 0.185 Neutral 0.815 Positive 0.0  \t8\nCompound -0.3612 Negative 0.2 Neutral 0.8 Positive 0.0  \t2\nCompound -0.3612 Negative 0.217 Neutral 0.783 Positive 0.0  \t9\nCompound -0.3612 Negative 0.224 Neutral 0.653 Positive 0.122  \t1\nCompound -0.3612 Negative 0.263 Neutral 0.737 Positive 0.0  \t3\nCompound -0.3736 Negative 0.131 Neutral 0.869 Positive 0.0  \t1\nCompound -0.3804 Negative 0.156 Neutral 0.844 Positive 0.0  \t1\nCompound -0.3804 Negative 0.178 Neutral 0.822 Positive 0.0  \t1\nCompound -0.3804 Negative 0.245 Neutral 0.755 Positive 0.0  \t1\nCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \t18\nCompound -0.3818 Negative 0.14 Neutral 0.86 Positive 0.0  \t1\nCompound -0.3818 Negative 0.167 Neutral 0.833 Positive 0.0  \t1\nCompound -0.3818 Negative 0.205 Neutral 0.795 Positive 0.0  \t1\nCompound -0.3818 Negative 0.229 Neutral 0.677 Positive 0.094  \t1\nCompound -0.3875 Negative 0.111 Neutral 0.889 Positive 0.0  \t1\nCompound -0.395 Negative 0.113 Neutral 0.887 Positive 0.0  \t1\nCompound -0.4003 Negative 0.195 Neutral 0.681 Positive 0.123  \t1\nCompound -0.4003 Negative 0.278 Neutral 0.722 Positive 0.0  \t1\nCompound -0.4019 Negative 0.13 Neutral 0.87 Positive 0.0  \t1\nCompound -0.4019 Negative 0.137 Neutral 0.863 Positive 0.0  \t3\nCompound -0.4019 Negative 0.144 Neutral 0.856 Positive 0.0  \t1\nCompound -0.4019 Negative 0.162 Neutral 0.838 Positive 0.0  \t1\nCompound -0.4019 Negative 0.184 Neutral 0.816 Positive 0.0  \t1\nCompound -0.4019 Negative 0.197 Neutral 0.803 Positive 0.0  \t3\nCompound -0.4019 Negative 0.201 Neutral 0.711 Positive 0.088  \t1\nCompound -0.4019 Negative 0.213 Neutral 0.787 Positive 0.0  \t3\nCompound -0.4019 Negative 0.231 Neutral 0.769 Positive 0.0  \t3\nCompound -0.4019 Negative 0.252 Neutral 0.748 Positive 0.0  \t1\nCompound -0.4019 Negative 0.351 Neutral 0.649 Positive 0.0  \t1\nCompound -0.4019 Negative 0.474 Neutral 0.526 Positive 0.0  \t1\nCompound -0.4033 Negative 0.141 Neutral 0.793 Positive 0.066  \t1\nCompound -0.4033 Negative 0.155 Neutral 0.773 Positive 0.072  \t1\nCompound -0.4137 Negative 0.251 Neutral 0.618 Positive 0.13  \t1\nCompound -0.4168 Negative 0.188 Neutral 0.812 Positive 0.0  \t2\nCompound -0.4168 Negative 0.217 Neutral 0.783 Positive 0.0  \t1\nCompound -0.4173 Negative 0.14 Neutral 0.86 Positive 0.0  \t8\nCompound -0.4173 Negative 0.166 Neutral 0.834 Positive 0.0  \t1\nCompound -0.4199 Negative 0.166 Neutral 0.834 Positive 0.0  \t1\nCompound -0.4211 Negative 0.113 Neutral 0.887 Positive 0.0  \t1\nCompound -0.4215 Negative 0.123 Neutral 0.877 Positive 0.0  \t1\nCompound -0.4215 Negative 0.141 Neutral 0.859 Positive 0.0  \t3\nCompound -0.4215 Negative 0.157 Neutral 0.843 Positive 0.0  \t2\nCompound -0.4215 Negative 0.227 Neutral 0.661 Positive 0.112  \t1\nCompound -0.4215 Negative 0.237 Neutral 0.763 Positive 0.0  \t1\nCompound -0.4215 Negative 0.302 Neutral 0.549 Positive 0.148  \t1\nCompound -0.4314 Negative 0.115 Neutral 0.885 Positive 0.0  \t1\nCompound -0.4314 Negative 0.169 Neutral 0.831 Positive 0.0  \t1\nCompound -0.4314 Negative 0.241 Neutral 0.759 Positive 0.0  \t1\nCompound -0.4329 Negative 0.16 Neutral 0.84 Positive 0.0  \t10\nCompound -0.4329 Negative 0.192 Neutral 0.808 Positive 0.0  \t2\nCompound -0.4404 Negative 0.121 Neutral 0.879 Positive 0.0  \t1\nCompound -0.4404 Negative 0.167 Neutral 0.749 Positive 0.084  \t1\nCompound -0.4404 Negative 0.172 Neutral 0.828 Positive 0.0  \t1\nCompound -0.4404 Negative 0.208 Neutral 0.694 Positive 0.098  \t6\nCompound -0.4404 Negative 0.225 Neutral 0.775 Positive 0.0  \t1\nCompound -0.4404 Negative 0.235 Neutral 0.654 Positive 0.111  \t2\nCompound -0.4449 Negative 0.232 Neutral 0.768 Positive 0.0  \t1\nCompound -0.4453 Negative 0.22 Neutral 0.627 Positive 0.153  \t4\nCompound -0.4453 Negative 0.237 Neutral 0.599 Positive 0.165  \t1\nCompound -0.4476 Negative 0.25 Neutral 0.596 Positive 0.154  \t1\nCompound -0.4479 Negative 0.197 Neutral 0.803 Positive 0.0  \t1\nCompound -0.4574 Negative 0.176 Neutral 0.824 Positive 0.0  \t2\nCompound -0.4588 Negative 0.134 Neutral 0.813 Positive 0.053  \t1\nCompound -0.4588 Negative 0.146 Neutral 0.796 Positive 0.058  \t1\nCompound -0.4588 Negative 0.167 Neutral 0.833 Positive 0.0  \t1\nCompound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  \t7\nCompound -0.4588 Negative 0.188 Neutral 0.813 Positive 0.0  \t1\nCompound -0.4588 Negative 0.19 Neutral 0.81 Positive 0.0  \t2\nCompound -0.4588 Negative 0.2 Neutral 0.8 Positive 0.0  \t2\nCompound -0.4588 Negative 0.269 Neutral 0.602 Positive 0.13  \t2\nCompound -0.4646 Negative 0.245 Neutral 0.62 Positive 0.135  \t1\nCompound -0.4646 Negative 0.265 Neutral 0.59 Positive 0.145  \t1\nCompound -0.4648 Negative 0.275 Neutral 0.725 Positive 0.0  \t1\nCompound -0.4714 Negative 0.17 Neutral 0.83 Positive 0.0  \t1\nCompound -0.4738 Negative 0.255 Neutral 0.745 Positive 0.0  \t1\nCompound -0.4753 Negative 0.147 Neutral 0.853 Positive 0.0  \t1\nCompound -0.4753 Negative 0.162 Neutral 0.838 Positive 0.0  \t1\nCompound -0.4767 Negative 0.14 Neutral 0.86 Positive 0.0  \t1\nCompound -0.4767 Negative 0.205 Neutral 0.795 Positive 0.0  \t1\nCompound -0.4767 Negative 0.22 Neutral 0.78 Positive 0.0  \t1\nCompound -0.4767 Negative 0.237 Neutral 0.763 Positive 0.0  \t2\nCompound -0.4767 Negative 0.256 Neutral 0.744 Positive 0.0  \t1\nCompound -0.4767 Negative 0.276 Neutral 0.603 Positive 0.121  \t1\nCompound -0.4767 Negative 0.279 Neutral 0.721 Positive 0.0  \t5\nCompound -0.4767 Negative 0.291 Neutral 0.582 Positive 0.127  \t1\nCompound -0.4767 Negative 0.307 Neutral 0.693 Positive 0.0  \t1\nCompound -0.4767 Negative 0.341 Neutral 0.659 Positive 0.0  \t2\nCompound -0.4767 Negative 0.608 Neutral 0.392 Positive 0.0  \t1\nCompound -0.4926 Negative 0.211 Neutral 0.631 Positive 0.158  \t1\nCompound -0.4939 Negative 0.152 Neutral 0.781 Positive 0.066  \t1\nCompound -0.4939 Negative 0.176 Neutral 0.824 Positive 0.0  \t1\nCompound -0.4939 Negative 0.194 Neutral 0.702 Positive 0.103  \t1\nCompound -0.4939 Negative 0.262 Neutral 0.738 Positive 0.0  \t2\nCompound -0.504 Negative 0.129 Neutral 0.871 Positive 0.0  \t4\nCompound -0.5093 Negative 0.184 Neutral 0.723 Positive 0.092  \t1\nCompound -0.5093 Negative 0.201 Neutral 0.699 Positive 0.1  \t1\nCompound -0.5096 Negative 0.141 Neutral 0.859 Positive 0.0  \t7\nCompound -0.5106 Negative 0.18 Neutral 0.82 Positive 0.0  \t1\nCompound -0.5106 Negative 0.202 Neutral 0.798 Positive 0.0  \t1\nCompound -0.5106 Negative 0.242 Neutral 0.671 Positive 0.087  \t1\nCompound -0.5106 Negative 0.462 Neutral 0.538 Positive 0.0  \t1\nCompound -0.5191 Negative 0.183 Neutral 0.817 Positive 0.0  \t1\nCompound -0.5267 Negative 0.185 Neutral 0.815 Positive 0.0  \t1\nCompound -0.5358 Negative 0.255 Neutral 0.745 Positive 0.0  \t1\nCompound -0.5362 Negative 0.198 Neutral 0.802 Positive 0.0  \t2\nCompound -0.5423 Negative 0.179 Neutral 0.821 Positive 0.0  \t1\nCompound -0.5423 Negative 0.2 Neutral 0.8 Positive 0.0  \t1\nCompound -0.5423 Negative 0.226 Neutral 0.774 Positive 0.0  \t1\nCompound -0.5423 Negative 0.37 Neutral 0.462 Positive 0.168  \t2\nCompound -0.5484 Negative 0.228 Neutral 0.772 Positive 0.0  \t2\nCompound -0.5499 Negative 0.202 Neutral 0.798 Positive 0.0  \t1\nCompound -0.5499 Negative 0.228 Neutral 0.772 Positive 0.0  \t1\nCompound -0.5574 Negative 0.146 Neutral 0.854 Positive 0.0  \t7\nCompound -0.5574 Negative 0.167 Neutral 0.833 Positive 0.0  \t1\nCompound -0.5574 Negative 0.194 Neutral 0.806 Positive 0.0  \t1\nCompound -0.5574 Negative 0.205 Neutral 0.795 Positive 0.0  \t1\nCompound -0.5574 Negative 0.217 Neutral 0.783 Positive 0.0  \t1\nCompound -0.5574 Negative 0.247 Neutral 0.753 Positive 0.0  \t2\nCompound -0.5574 Negative 0.265 Neutral 0.735 Positive 0.0  \t18\nCompound -0.5574 Negative 0.31 Neutral 0.69 Positive 0.0  \t1\nCompound -0.5622 Negative 0.168 Neutral 0.832 Positive 0.0  \t1\nCompound -0.577 Negative 0.301 Neutral 0.699 Positive 0.0  \t1\nCompound -0.5859 Negative 0.167 Neutral 0.833 Positive 0.0  \t1\nCompound -0.5859 Negative 0.179 Neutral 0.821 Positive 0.0  \t1\nCompound -0.5859 Negative 0.226 Neutral 0.774 Positive 0.0  \t1\nCompound -0.5859 Negative 0.286 Neutral 0.714 Positive 0.0  \t1\nCompound -0.5859 Negative 0.322 Neutral 0.678 Positive 0.0  \t1\nCompound -0.5859 Negative 0.324 Neutral 0.676 Positive 0.0  \t9\nCompound -0.5859 Negative 0.352 Neutral 0.648 Positive 0.0  \t1\nCompound -0.5859 Negative 0.388 Neutral 0.612 Positive 0.0  \t1\nCompound -0.5883 Negative 0.243 Neutral 0.757 Positive 0.0  \t1\nCompound -0.5994 Negative 0.157 Neutral 0.843 Positive 0.0  \t1\nCompound -0.5994 Negative 0.163 Neutral 0.837 Positive 0.0  \t1\nCompound -0.5994 Negative 0.17 Neutral 0.83 Positive 0.0  \t1\nCompound -0.5994 Negative 0.187 Neutral 0.813 Positive 0.0  \t1\nCompound -0.5994 Negative 0.218 Neutral 0.782 Positive 0.0  \t2\nCompound -0.5994 Negative 0.353 Neutral 0.647 Positive 0.0  \t1\nCompound -0.5994 Negative 0.358 Neutral 0.642 Positive 0.0  \t1\nCompound -0.6124 Negative 0.313 Neutral 0.688 Positive 0.0  \t1\nCompound -0.6124 Negative 0.316 Neutral 0.684 Positive 0.0  \t1\nCompound -0.6164 Negative 0.501 Neutral 0.362 Positive 0.137  \t1\nCompound -0.6249 Negative 0.506 Neutral 0.494 Positive 0.0  \t1\nCompound -0.6369 Negative 0.256 Neutral 0.744 Positive 0.0  \t1\nCompound -0.6486 Negative 0.249 Neutral 0.751 Positive 0.0  \t1\nCompound -0.6486 Negative 0.281 Neutral 0.719 Positive 0.0  \t1\nCompound -0.6486 Negative 0.285 Neutral 0.602 Positive 0.112  \t1\nCompound -0.6486 Negative 0.301 Neutral 0.699 Positive 0.0  \t2\nCompound -0.6597 Negative 0.227 Neutral 0.773 Positive 0.0  \t2\nCompound -0.6597 Negative 0.253 Neutral 0.747 Positive 0.0  \t1\nCompound -0.6597 Negative 0.306 Neutral 0.694 Positive 0.0  \t1\nCompound -0.6633 Negative 0.357 Neutral 0.643 Positive 0.0  \t1\nCompound -0.6679 Negative 0.242 Neutral 0.758 Positive 0.0  \t1\nCompound -0.6739 Negative 0.531 Neutral 0.469 Positive 0.0  \t1\nCompound -0.68 Negative 0.295 Neutral 0.705 Positive 0.0  \t2\nCompound -0.68 Negative 0.315 Neutral 0.685 Positive 0.0  \t3\nCompound -0.68 Negative 0.338 Neutral 0.662 Positive 0.0  \t2\nCompound -0.68 Negative 0.365 Neutral 0.635 Positive 0.0  \t2\nCompound -0.68 Negative 0.434 Neutral 0.566 Positive 0.0  \t2\nCompound -0.6808 Negative 0.213 Neutral 0.787 Positive 0.0  \t1\nCompound -0.6808 Negative 0.248 Neutral 0.752 Positive 0.0  \t1\nCompound -0.6908 Negative 0.239 Neutral 0.761 Positive 0.0  \t1\nCompound -0.6997 Negative 0.344 Neutral 0.554 Positive 0.102  \t2\nCompound -0.7088 Negative 0.285 Neutral 0.579 Positive 0.135  \t6\nCompound -0.7096 Negative 0.258 Neutral 0.742 Positive 0.0  \t3\nCompound -0.7096 Negative 0.282 Neutral 0.718 Positive 0.0  \t2\nCompound -0.7142 Negative 0.382 Neutral 0.618 Positive 0.0  \t7\nCompound -0.7142 Negative 0.452 Neutral 0.548 Positive 0.0  \t1\nCompound -0.7506 Negative 0.348 Neutral 0.652 Positive 0.0  \t1\nCompound -0.7574 Negative 0.306 Neutral 0.694 Positive 0.0  \t3\nCompound -0.7579 Negative 0.52 Neutral 0.48 Positive 0.0  \t1\nCompound -0.7644 Negative 0.268 Neutral 0.732 Positive 0.0  \t1\nCompound -0.7717 Negative 0.339 Neutral 0.661 Positive 0.0  \t1\nCompound -0.7752 Negative 0.381 Neutral 0.535 Positive 0.084  \t2\nCompound -0.7777 Negative 0.299 Neutral 0.63 Positive 0.071  \t1\nCompound -0.7941 Negative 0.35 Neutral 0.65 Positive 0.0  \t1\nCompound -0.7996 Negative 0.245 Neutral 0.755 Positive 0.0  \t3\nCompound -0.8176 Negative 0.373 Neutral 0.627 Positive 0.0  \t1\nCompound -0.8176 Negative 0.388 Neutral 0.612 Positive 0.0  \t1\nCompound -0.8555 Negative 0.343 Neutral 0.657 Positive 0.0  \t1\nCompound -0.8658 Negative 0.326 Neutral 0.674 Positive 0.0  \t1\nCompound -0.8957 Negative 0.496 Neutral 0.423 Positive 0.081  \t1\nCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6023\nCompound 0.0 Negative 0.098 Neutral 0.804 Positive 0.098  \t2\nCompound 0.0 Negative 0.103 Neutral 0.794 Positive 0.103  \t1\nCompound 0.0 Negative 0.109 Neutral 0.781 Positive 0.109  \t1\nCompound 0.0 Negative 0.11 Neutral 0.779 Positive 0.11  \t165\nCompound 0.0 Negative 0.118 Neutral 0.764 Positive 0.118  \t1\nCompound 0.0 Negative 0.121 Neutral 0.759 Positive 0.121  \t1\nCompound 0.0 Negative 0.124 Neutral 0.752 Positive 0.124  \t1\nCompound 0.0 Negative 0.127 Neutral 0.746 Positive 0.127  \t2\nCompound 0.0 Negative 0.137 Neutral 0.726 Positive 0.137  \t1\nCompound 0.0 Negative 0.147 Neutral 0.652 Positive 0.201  \t2\nCompound 0.0 Negative 0.168 Neutral 0.664 Positive 0.168  \t1\nCompound 0.0 Negative 0.172 Neutral 0.657 Positive 0.172  \t1\nCompound 0.0 Negative 0.176 Neutral 0.648 Positive 0.176  \t1\nCompound 0.0 Negative 0.181 Neutral 0.638 Positive 0.181  \t1\nCompound 0.0 Negative 0.184 Neutral 0.631 Positive 0.184  \t1\nCompound 0.0 Negative 0.202 Neutral 0.595 Positive 0.202  \t1\nCompound 0.0258 Negative 0.0 Neutral 0.82 Positive 0.18  \t1\nCompound 0.0258 Negative 0.0 Neutral 0.916 Positive 0.084  \t1\nCompound 0.0258 Negative 0.0 Neutral 0.922 Positive 0.078  \t2\nCompound 0.0258 Negative 0.0 Neutral 0.927 Positive 0.073  \t1\nCompound 0.0258 Negative 0.0 Neutral 0.932 Positive 0.068  \t7\nCompound 0.0258 Negative 0.0 Neutral 0.936 Positive 0.064  \t3\nCompound 0.0258 Negative 0.102 Neutral 0.744 Positive 0.153  \t1\nCompound 0.0258 Negative 0.134 Neutral 0.729 Positive 0.138  \t1\nCompound 0.0258 Negative 0.202 Neutral 0.542 Positive 0.256  \t1\nCompound 0.0258 Negative 0.212 Neutral 0.518 Positive 0.269  \t1\nCompound 0.0364 Negative 0.111 Neutral 0.771 Positive 0.117  \t1\nCompound 0.0387 Negative 0.167 Neutral 0.697 Positive 0.136  \t2\nCompound 0.0516 Negative 0.0 Neutral 0.833 Positive 0.167  \t1\nCompound 0.0516 Negative 0.0 Neutral 0.855 Positive 0.145  \t2\nCompound 0.0516 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nCompound 0.0516 Negative 0.0 Neutral 0.934 Positive 0.066  \t2\nCompound 0.0516 Negative 0.089 Neutral 0.813 Positive 0.098  \t1\nCompound 0.0516 Negative 0.13 Neutral 0.729 Positive 0.141  \t1\nCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \t17\nCompound 0.0516 Negative 0.138 Neutral 0.663 Positive 0.199  \t1\nCompound 0.0516 Negative 0.142 Neutral 0.709 Positive 0.15  \t3\nCompound 0.0772 Negative 0.0 Neutral 0.843 Positive 0.157  \t2\nCompound 0.0772 Negative 0.0 Neutral 0.86 Positive 0.14  \t1\nCompound 0.0772 Negative 0.0 Neutral 0.874 Positive 0.126  \t1\nCompound 0.0772 Negative 0.0 Neutral 0.885 Positive 0.115  \t4\nCompound 0.0772 Negative 0.0 Neutral 0.894 Positive 0.106  \t2\nCompound 0.0772 Negative 0.0 Neutral 0.902 Positive 0.098  \t2\nCompound 0.0772 Negative 0.0 Neutral 0.909 Positive 0.091  \t3\nCompound 0.0772 Negative 0.0 Neutral 0.915 Positive 0.085  \t8\nCompound 0.0772 Negative 0.0 Neutral 0.92 Positive 0.08  \t2\nCompound 0.0772 Negative 0.0 Neutral 0.929 Positive 0.071  \t2\nCompound 0.0772 Negative 0.0 Neutral 0.933 Positive 0.067  \t2\nCompound 0.0772 Negative 0.0 Neutral 0.936 Positive 0.064  \t1\nCompound 0.0772 Negative 0.0 Neutral 0.942 Positive 0.058  \t1\nCompound 0.0772 Negative 0.126 Neutral 0.733 Positive 0.141  \t2\nCompound 0.0772 Negative 0.127 Neutral 0.727 Positive 0.145  \t1\nCompound 0.0772 Negative 0.162 Neutral 0.664 Positive 0.174  \t1\nCompound 0.09 Negative 0.074 Neutral 0.838 Positive 0.088  \t11\nCompound 0.09 Negative 0.08 Neutral 0.824 Positive 0.095  \t1\nCompound 0.0935 Negative 0.0 Neutral 0.93 Positive 0.07  \t1\nCompound 0.0974 Negative 0.13 Neutral 0.714 Positive 0.157  \t1\nCompound 0.1007 Negative 0.085 Neutral 0.814 Positive 0.1  \t1\nCompound 0.1007 Negative 0.101 Neutral 0.78 Positive 0.119  \t1\nCompound 0.1007 Negative 0.111 Neutral 0.758 Positive 0.131  \t1\nCompound 0.101 Negative 0.0 Neutral 0.888 Positive 0.112  \t1\nCompound 0.101 Negative 0.0 Neutral 0.903 Positive 0.097  \t2\nCompound 0.1027 Negative 0.0 Neutral 0.811 Positive 0.189  \t3\nCompound 0.1027 Negative 0.0 Neutral 0.833 Positive 0.167  \t1\nCompound 0.1027 Negative 0.0 Neutral 0.896 Positive 0.104  \t1\nCompound 0.1027 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nCompound 0.1027 Negative 0.0 Neutral 0.915 Positive 0.085  \t1\nCompound 0.1027 Negative 0.0 Neutral 0.931 Positive 0.069  \t1\nCompound 0.1113 Negative 0.176 Neutral 0.626 Positive 0.198  \t1\nCompound 0.1139 Negative 0.0 Neutral 0.829 Positive 0.171  \t1\nCompound 0.1139 Negative 0.0 Neutral 0.847 Positive 0.153  \t3\nCompound 0.1139 Negative 0.0 Neutral 0.874 Positive 0.126  \t1\nCompound 0.1139 Negative 0.0 Neutral 0.893 Positive 0.107  \t2\nCompound 0.1139 Negative 0.0 Neutral 0.907 Positive 0.093  \t2\nCompound 0.1139 Negative 0.0 Neutral 0.922 Positive 0.078  \t8\nCompound 0.1139 Negative 0.0 Neutral 0.926 Positive 0.074  \t1\nCompound 0.1139 Negative 0.0 Neutral 0.929 Positive 0.071  \t4\nCompound 0.1154 Negative 0.0 Neutral 0.892 Positive 0.108  \t1\nCompound 0.1154 Negative 0.0 Neutral 0.906 Positive 0.094  \t1\nCompound 0.1179 Negative 0.096 Neutral 0.744 Positive 0.16  \t1\nCompound 0.1253 Negative 0.092 Neutral 0.79 Positive 0.118  \t1\nCompound 0.126 Negative 0.17 Neutral 0.629 Positive 0.201  \t1\nCompound 0.128 Negative 0.0 Neutral 0.667 Positive 0.333  \t2\nCompound 0.128 Negative 0.0 Neutral 0.706 Positive 0.294  \t1\nCompound 0.128 Negative 0.0 Neutral 0.737 Positive 0.263  \t1\nCompound 0.128 Negative 0.0 Neutral 0.762 Positive 0.238  \t5\nCompound 0.128 Negative 0.0 Neutral 0.783 Positive 0.217  \t1\nCompound 0.128 Negative 0.0 Neutral 0.8 Positive 0.2  \t3\nCompound 0.128 Negative 0.0 Neutral 0.815 Positive 0.185  \t4\nCompound 0.128 Negative 0.0 Neutral 0.824 Positive 0.176  \t1\nCompound 0.128 Negative 0.0 Neutral 0.842 Positive 0.158  \t1\nCompound 0.128 Negative 0.0 Neutral 0.857 Positive 0.143  \t7\nCompound 0.128 Negative 0.0 Neutral 0.865 Positive 0.135  \t2\nCompound 0.128 Negative 0.0 Neutral 0.87 Positive 0.13  \t3\nCompound 0.128 Negative 0.0 Neutral 0.878 Positive 0.122  \t1\nCompound 0.128 Negative 0.0 Neutral 0.88 Positive 0.12  \t2\nCompound 0.128 Negative 0.0 Neutral 0.897 Positive 0.103  \t1\nCompound 0.128 Negative 0.0 Neutral 0.903 Positive 0.097  \t1\nCompound 0.128 Negative 0.0 Neutral 0.919 Positive 0.081  \t1\nCompound 0.128 Negative 0.0 Neutral 0.923 Positive 0.077  \t1\nCompound 0.128 Negative 0.0 Neutral 0.927 Positive 0.073  \t1\nCompound 0.128 Negative 0.079 Neutral 0.824 Positive 0.097  \t1\nCompound 0.128 Negative 0.097 Neutral 0.783 Positive 0.12  \t1\nCompound 0.128 Negative 0.126 Neutral 0.719 Positive 0.156  \t1\nCompound 0.128 Negative 0.148 Neutral 0.678 Positive 0.174  \t1\nCompound 0.1431 Negative 0.0 Neutral 0.911 Positive 0.089  \t1\nCompound 0.1511 Negative 0.0 Neutral 0.898 Positive 0.102  \t1\nCompound 0.1511 Negative 0.0 Neutral 0.919 Positive 0.081  \t2\nCompound 0.1511 Negative 0.105 Neutral 0.762 Positive 0.133  \t1\nCompound 0.1511 Negative 0.116 Neutral 0.737 Positive 0.147  \t1\nCompound 0.1531 Negative 0.0 Neutral 0.897 Positive 0.103  \t1\nCompound 0.1531 Negative 0.0 Neutral 0.904 Positive 0.096  \t2\nCompound 0.1531 Negative 0.0 Neutral 0.918 Positive 0.082  \t1\nCompound 0.1531 Negative 0.0 Neutral 0.929 Positive 0.071  \t2\nCompound 0.1531 Negative 0.088 Neutral 0.8 Positive 0.112  \t2\nCompound 0.1531 Negative 0.092 Neutral 0.789 Positive 0.118  \t2\nCompound 0.1531 Negative 0.096 Neutral 0.783 Positive 0.122  \t1\nCompound 0.1531 Negative 0.1 Neutral 0.773 Positive 0.127  \t1\nCompound 0.1531 Negative 0.104 Neutral 0.766 Positive 0.131  \t1\nCompound 0.1531 Negative 0.106 Neutral 0.758 Positive 0.136  \t1\nCompound 0.1531 Negative 0.175 Neutral 0.667 Positive 0.158  \t1\nCompound 0.1531 Negative 0.191 Neutral 0.636 Positive 0.173  \t1\nCompound 0.1531 Negative 0.204 Neutral 0.571 Positive 0.225  \t1\nCompound 0.1548 Negative 0.0 Neutral 0.914 Positive 0.086  \t1\nCompound 0.1593 Negative 0.0 Neutral 0.928 Positive 0.072  \t2\nCompound 0.168 Negative 0.0 Neutral 0.869 Positive 0.131  \t1\nCompound 0.168 Negative 0.0 Neutral 0.887 Positive 0.113  \t2\nCompound 0.168 Negative 0.0 Neutral 0.894 Positive 0.106  \t2\nCompound 0.168 Negative 0.0 Neutral 0.911 Positive 0.089  \t2\nCompound 0.168 Negative 0.0 Neutral 0.927 Positive 0.073  \t3\nCompound 0.168 Negative 0.0 Neutral 0.93 Positive 0.07  \t3\nCompound 0.1695 Negative 0.0 Neutral 0.906 Positive 0.094  \t1\nCompound 0.1739 Negative 0.104 Neutral 0.759 Positive 0.137  \t3\nCompound 0.1739 Negative 0.115 Neutral 0.734 Positive 0.151  \t1\nCompound 0.1754 Negative 0.092 Neutral 0.742 Positive 0.166  \t1\nCompound 0.1779 Negative 0.0 Neutral 0.702 Positive 0.298  \t1\nCompound 0.1779 Negative 0.0 Neutral 0.746 Positive 0.254  \t1\nCompound 0.1779 Negative 0.0 Neutral 0.779 Positive 0.221  \t1\nCompound 0.1779 Negative 0.0 Neutral 0.841 Positive 0.159  \t1\nCompound 0.1779 Negative 0.0 Neutral 0.855 Positive 0.145  \t1\nCompound 0.1779 Negative 0.0 Neutral 0.866 Positive 0.134  \t3\nCompound 0.1779 Negative 0.0 Neutral 0.876 Positive 0.124  \t2\nCompound 0.1779 Negative 0.0 Neutral 0.884 Positive 0.116  \t9\nCompound 0.1779 Negative 0.0 Neutral 0.892 Positive 0.108  \t3\nCompound 0.1779 Negative 0.0 Neutral 0.898 Positive 0.102  \t2\nCompound 0.1779 Negative 0.0 Neutral 0.904 Positive 0.096  \t9\nCompound 0.1779 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nCompound 0.1779 Negative 0.0 Neutral 0.914 Positive 0.086  \t7\nCompound 0.1779 Negative 0.0 Neutral 0.918 Positive 0.082  \t2\nCompound 0.1779 Negative 0.0 Neutral 0.922 Positive 0.078  \t1\nCompound 0.1779 Negative 0.085 Neutral 0.794 Positive 0.122  \t1\nCompound 0.1779 Negative 0.097 Neutral 0.725 Positive 0.179  \t1\nCompound 0.1779 Negative 0.1 Neutral 0.769 Positive 0.131  \t1\nCompound 0.1779 Negative 0.115 Neutral 0.733 Positive 0.152  \t1\nCompound 0.1779 Negative 0.156 Neutral 0.638 Positive 0.206  \t2\nCompound 0.1867 Negative 0.0 Neutral 0.896 Positive 0.104  \t2\nCompound 0.1867 Negative 0.0 Neutral 0.907 Positive 0.093  \t2\nCompound 0.1867 Negative 0.0 Neutral 0.912 Positive 0.088  \t1\nCompound 0.1867 Negative 0.0 Neutral 0.916 Positive 0.084  \t1\nCompound 0.1935 Negative 0.137 Neutral 0.674 Positive 0.189  \t1\nCompound 0.2023 Negative 0.0 Neutral 0.69 Positive 0.31  \t2\nCompound 0.2023 Negative 0.0 Neutral 0.714 Positive 0.286  \t3\nCompound 0.2023 Negative 0.0 Neutral 0.735 Positive 0.265  \t1\nCompound 0.2023 Negative 0.0 Neutral 0.795 Positive 0.205  \t2\nCompound 0.2023 Negative 0.0 Neutral 0.816 Positive 0.184  \t2\nCompound 0.2023 Negative 0.0 Neutral 0.833 Positive 0.167  \t7\nCompound 0.2023 Negative 0.0 Neutral 0.847 Positive 0.153  \t2\nCompound 0.2023 Negative 0.0 Neutral 0.859 Positive 0.141  \t7\nCompound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  \t4\nCompound 0.2023 Negative 0.0 Neutral 0.878 Positive 0.122  \t7\nCompound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  \t10\nCompound 0.2023 Negative 0.0 Neutral 0.893 Positive 0.107  \t14\nCompound 0.2023 Negative 0.0 Neutral 0.899 Positive 0.101  \t5\nCompound 0.2023 Negative 0.0 Neutral 0.904 Positive 0.096  \t6\nCompound 0.2023 Negative 0.0 Neutral 0.909 Positive 0.091  \t3\nCompound 0.2023 Negative 0.07 Neutral 0.826 Positive 0.103  \t2\nCompound 0.2023 Negative 0.077 Neutral 0.811 Positive 0.113  \t1\nCompound 0.2023 Negative 0.11 Neutral 0.658 Positive 0.232  \t1\nCompound 0.2023 Negative 0.115 Neutral 0.642 Positive 0.243  \t1\nCompound 0.2023 Negative 0.116 Neutral 0.69 Positive 0.194  \t2\nCompound 0.2023 Negative 0.122 Neutral 0.676 Positive 0.203  \t2\nCompound 0.2047 Negative 0.0 Neutral 0.859 Positive 0.141  \t1\nCompound 0.212 Negative 0.144 Neutral 0.635 Positive 0.222  \t1\nCompound 0.2144 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nCompound 0.2225 Negative 0.0 Neutral 0.881 Positive 0.119  \t1\nCompound 0.2225 Negative 0.0 Neutral 0.888 Positive 0.112  \t3\nCompound 0.223 Negative 0.206 Neutral 0.513 Positive 0.281  \t1\nCompound 0.2263 Negative 0.0 Neutral 0.725 Positive 0.275  \t2\nCompound 0.2263 Negative 0.0 Neutral 0.759 Positive 0.241  \t4\nCompound 0.2263 Negative 0.0 Neutral 0.787 Positive 0.213  \t3\nCompound 0.2263 Negative 0.0 Neutral 0.808 Positive 0.192  \t12\nCompound 0.2263 Negative 0.0 Neutral 0.826 Positive 0.174  \t6\nCompound 0.2263 Negative 0.0 Neutral 0.84 Positive 0.16  \t13\nCompound 0.2263 Negative 0.0 Neutral 0.853 Positive 0.147  \t12\nCompound 0.2263 Negative 0.0 Neutral 0.863 Positive 0.137  \t15\nCompound 0.2263 Negative 0.0 Neutral 0.872 Positive 0.128  \t8\nCompound 0.2263 Negative 0.0 Neutral 0.881 Positive 0.119  \t8\nCompound 0.2263 Negative 0.0 Neutral 0.888 Positive 0.112  \t12\nCompound 0.2263 Negative 0.0 Neutral 0.894 Positive 0.106  \t5\nCompound 0.2263 Negative 0.0 Neutral 0.899 Positive 0.101  \t7\nCompound 0.2263 Negative 0.0 Neutral 0.905 Positive 0.095  \t7\nCompound 0.2263 Negative 0.0 Neutral 0.909 Positive 0.091  \t5\nCompound 0.2263 Negative 0.068 Neutral 0.822 Positive 0.11  \t2\nCompound 0.2263 Negative 0.072 Neutral 0.813 Positive 0.115  \t2\nCompound 0.2263 Negative 0.075 Neutral 0.804 Positive 0.121  \t1\nCompound 0.2287 Negative 0.096 Neutral 0.769 Positive 0.135  \t1\nCompound 0.2382 Negative 0.0 Neutral 0.86 Positive 0.14  \t1\nCompound 0.2382 Negative 0.0 Neutral 0.891 Positive 0.109  \t1\nCompound 0.2401 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nCompound 0.2401 Negative 0.0 Neutral 0.897 Positive 0.103  \t1\nCompound 0.2406 Negative 0.0 Neutral 0.897 Positive 0.103  \t1\nCompound 0.2481 Negative 0.0 Neutral 0.778 Positive 0.222  \t1\nCompound 0.2481 Negative 0.0 Neutral 0.834 Positive 0.166  \t1\nCompound 0.2481 Negative 0.0 Neutral 0.858 Positive 0.142  \t1\nCompound 0.2481 Negative 0.0 Neutral 0.9 Positive 0.1  \t1\nCompound 0.2481 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nCompound 0.2481 Negative 0.087 Neutral 0.788 Positive 0.126  \t1\nCompound 0.2481 Negative 0.098 Neutral 0.759 Positive 0.143  \t1\nCompound 0.2481 Negative 0.103 Neutral 0.748 Positive 0.149  \t6\nCompound 0.25 Negative 0.0 Neutral 0.714 Positive 0.286  \t1\nCompound 0.25 Negative 0.0 Neutral 0.75 Positive 0.25  \t1\nCompound 0.25 Negative 0.0 Neutral 0.778 Positive 0.222  \t6\nCompound 0.25 Negative 0.0 Neutral 0.8 Positive 0.2  \t4\nCompound 0.25 Negative 0.0 Neutral 0.833 Positive 0.167  \t2\nCompound 0.25 Negative 0.0 Neutral 0.846 Positive 0.154  \t2\nCompound 0.25 Negative 0.0 Neutral 0.857 Positive 0.143  \t2\nCompound 0.25 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nCompound 0.25 Negative 0.0 Neutral 0.889 Positive 0.111  \t4\nCompound 0.25 Negative 0.0 Neutral 0.9 Positive 0.1  \t2\nCompound 0.25 Negative 0.0 Neutral 0.905 Positive 0.095  \t1\nCompound 0.25 Negative 0.0 Neutral 0.913 Positive 0.087  \t2\nCompound 0.25 Negative 0.092 Neutral 0.761 Positive 0.147  \t1\nCompound 0.25 Negative 0.136 Neutral 0.631 Positive 0.233  \t1\nCompound 0.25 Negative 0.153 Neutral 0.644 Positive 0.203  \t2\nCompound 0.25 Negative 0.161 Neutral 0.625 Positive 0.214  \t1\nCompound 0.25 Negative 0.193 Neutral 0.613 Positive 0.193  \t1\nCompound 0.25 Negative 0.214 Neutral 0.573 Positive 0.214  \t1\nCompound 0.2577 Negative 0.0 Neutral 0.881 Positive 0.119  \t1\nCompound 0.2584 Negative 0.0 Neutral 0.816 Positive 0.184  \t1\nCompound 0.264 Negative 0.0 Neutral 0.879 Positive 0.121  \t2\nCompound 0.267 Negative 0.0 Neutral 0.902 Positive 0.098  \t1\nCompound 0.2714 Negative 0.0 Neutral 0.827 Positive 0.173  \t1\nCompound 0.2714 Negative 0.0 Neutral 0.878 Positive 0.122  \t1\nCompound 0.2714 Negative 0.103 Neutral 0.739 Positive 0.157  \t8\nCompound 0.2716 Negative 0.0 Neutral 0.77 Positive 0.23  \t1\nCompound 0.2716 Negative 0.0 Neutral 0.861 Positive 0.139  \t1\nCompound 0.2716 Negative 0.0 Neutral 0.896 Positive 0.104  \t2\nCompound 0.2716 Negative 0.0 Neutral 0.901 Positive 0.099  \t1\nCompound 0.2732 Negative 0.0 Neutral 0.488 Positive 0.512  \t1\nCompound 0.2732 Negative 0.0 Neutral 0.588 Positive 0.412  \t2\nCompound 0.2732 Negative 0.0 Neutral 0.769 Positive 0.231  \t3\nCompound 0.2732 Negative 0.0 Neutral 0.811 Positive 0.189  \t1\nCompound 0.2732 Negative 0.0 Neutral 0.826 Positive 0.174  \t2\nCompound 0.2732 Negative 0.0 Neutral 0.84 Positive 0.16  \t6\nCompound 0.2732 Negative 0.0 Neutral 0.851 Positive 0.149  \t1\nCompound 0.2732 Negative 0.0 Neutral 0.861 Positive 0.139  \t1\nCompound 0.2732 Negative 0.0 Neutral 0.87 Positive 0.13  \t4\nCompound 0.2732 Negative 0.0 Neutral 0.877 Positive 0.123  \t1\nCompound 0.2732 Negative 0.0 Neutral 0.884 Positive 0.116  \t4\nCompound 0.2732 Negative 0.0 Neutral 0.89 Positive 0.11  \t3\nCompound 0.2732 Negative 0.0 Neutral 0.896 Positive 0.104  \t5\nCompound 0.2732 Negative 0.0 Neutral 0.9 Positive 0.1  \t3\nCompound 0.2732 Negative 0.0 Neutral 0.905 Positive 0.095  \t1\nCompound 0.2732 Negative 0.0 Neutral 0.909 Positive 0.091  \t3\nCompound 0.2732 Negative 0.067 Neutral 0.813 Positive 0.12  \t1\nCompound 0.2755 Negative 0.0 Neutral 0.883 Positive 0.117  \t1\nCompound 0.2796 Negative 0.077 Neutral 0.771 Positive 0.152  \t1\nCompound 0.2837 Negative 0.105 Neutral 0.701 Positive 0.194  \t1\nCompound 0.2869 Negative 0.0 Neutral 0.847 Positive 0.153  \t2\nCompound 0.2869 Negative 0.0 Neutral 0.858 Positive 0.142  \t1\nCompound 0.2869 Negative 0.0 Neutral 0.866 Positive 0.134  \t16\nCompound 0.2869 Negative 0.0 Neutral 0.874 Positive 0.126  \t1\nCompound 0.2869 Negative 0.0 Neutral 0.881 Positive 0.119  \t2\nCompound 0.2869 Negative 0.0 Neutral 0.893 Positive 0.107  \t1\nCompound 0.2924 Negative 0.0 Neutral 0.873 Positive 0.127  \t3\nCompound 0.2924 Negative 0.0 Neutral 0.88 Positive 0.12  \t1\nCompound 0.2942 Negative 0.0 Neutral 0.865 Positive 0.135  \t1\nCompound 0.2944 Negative 0.0 Neutral 0.879 Positive 0.121  \t1\nCompound 0.2944 Negative 0.0 Neutral 0.891 Positive 0.109  \t1\nCompound 0.296 Negative 0.0 Neutral 0.645 Positive 0.355  \t1\nCompound 0.296 Negative 0.0 Neutral 0.732 Positive 0.268  \t17\nCompound 0.296 Negative 0.0 Neutral 0.761 Positive 0.239  \t2\nCompound 0.296 Negative 0.0 Neutral 0.784 Positive 0.216  \t2\nCompound 0.296 Negative 0.0 Neutral 0.804 Positive 0.196  \t5\nCompound 0.296 Negative 0.0 Neutral 0.82 Positive 0.18  \t3\nCompound 0.296 Negative 0.0 Neutral 0.833 Positive 0.167  \t5\nCompound 0.296 Negative 0.0 Neutral 0.845 Positive 0.155  \t3\nCompound 0.296 Negative 0.0 Neutral 0.855 Positive 0.145  \t10\nCompound 0.296 Negative 0.0 Neutral 0.864 Positive 0.136  \t6\nCompound 0.296 Negative 0.0 Neutral 0.872 Positive 0.128  \t7\nCompound 0.296 Negative 0.0 Neutral 0.879 Positive 0.121  \t9\nCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t33\nCompound 0.296 Negative 0.0 Neutral 0.891 Positive 0.109  \t2\nCompound 0.296 Negative 0.0 Neutral 0.896 Positive 0.104  \t2\nCompound 0.296 Negative 0.0 Neutral 0.901 Positive 0.099  \t1\nCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t40\nCompound 0.296 Negative 0.0 Neutral 0.913 Positive 0.087  \t1\nCompound 0.296 Negative 0.08 Neutral 0.795 Positive 0.125  \t1\nCompound 0.296 Negative 0.131 Neutral 0.654 Positive 0.215  \t16\nCompound 0.296 Negative 0.142 Neutral 0.625 Positive 0.233  \t1\nCompound 0.3049 Negative 0.0 Neutral 0.87 Positive 0.13  \t2\nCompound 0.3058 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nCompound 0.3058 Negative 0.0 Neutral 0.883 Positive 0.117  \t3\nCompound 0.3094 Negative 0.0 Neutral 0.83 Positive 0.17  \t1\nCompound 0.3094 Negative 0.0 Neutral 0.842 Positive 0.158  \t2\nCompound 0.3094 Negative 0.0 Neutral 0.852 Positive 0.148  \t2\nCompound 0.3094 Negative 0.0 Neutral 0.861 Positive 0.139  \t1\nCompound 0.3094 Negative 0.0 Neutral 0.869 Positive 0.131  \t2\nCompound 0.3094 Negative 0.0 Neutral 0.883 Positive 0.117  \t2\nCompound 0.3164 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nCompound 0.3164 Negative 0.0 Neutral 0.84 Positive 0.16  \t1\nCompound 0.3164 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nCompound 0.3164 Negative 0.096 Neutral 0.735 Positive 0.169  \t1\nCompound 0.3182 Negative 0.0 Neutral 0.566 Positive 0.434  \t1\nCompound 0.3182 Negative 0.0 Neutral 0.635 Positive 0.365  \t3\nCompound 0.3182 Negative 0.0 Neutral 0.685 Positive 0.315  \t6\nCompound 0.3182 Negative 0.0 Neutral 0.753 Positive 0.247  \t4\nCompound 0.3182 Negative 0.0 Neutral 0.777 Positive 0.223  \t2\nCompound 0.3182 Negative 0.0 Neutral 0.796 Positive 0.204  \t1\nCompound 0.3182 Negative 0.0 Neutral 0.813 Positive 0.187  \t7\nCompound 0.3182 Negative 0.0 Neutral 0.827 Positive 0.173  \t9\nCompound 0.3182 Negative 0.0 Neutral 0.839 Positive 0.161  \t8\nCompound 0.3182 Negative 0.0 Neutral 0.85 Positive 0.15  \t8\nCompound 0.3182 Negative 0.0 Neutral 0.859 Positive 0.141  \t6\nCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t13\nCompound 0.3182 Negative 0.0 Neutral 0.874 Positive 0.126  \t3\nCompound 0.3182 Negative 0.0 Neutral 0.881 Positive 0.119  \t7\nCompound 0.3182 Negative 0.0 Neutral 0.887 Positive 0.113  \t4\nCompound 0.3182 Negative 0.0 Neutral 0.892 Positive 0.108  \t1\nCompound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  \t22\nCompound 0.3197 Negative 0.0 Neutral 0.886 Positive 0.114  \t1\nCompound 0.3254 Negative 0.13 Neutral 0.675 Positive 0.195  \t1\nCompound 0.327 Negative 0.0 Neutral 0.872 Positive 0.128  \t1\nCompound 0.3278 Negative 0.096 Neutral 0.763 Positive 0.141  \t6\nCompound 0.3287 Negative 0.087 Neutral 0.769 Positive 0.144  \t1\nCompound 0.3291 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nCompound 0.3296 Negative 0.093 Neutral 0.758 Positive 0.15  \t2\nCompound 0.3296 Negative 0.097 Neutral 0.747 Positive 0.156  \t9\nCompound 0.3296 Negative 0.106 Neutral 0.723 Positive 0.171  \t2\nCompound 0.3296 Negative 0.111 Neutral 0.709 Positive 0.18  \t1\nCompound 0.3298 Negative 0.0 Neutral 0.847 Positive 0.153  \t1\nCompound 0.3313 Negative 0.082 Neutral 0.771 Positive 0.147  \t1\nCompound 0.3327 Negative 0.0 Neutral 0.878 Positive 0.122  \t2\nCompound 0.3327 Negative 0.0 Neutral 0.889 Positive 0.111  \t1\nCompound 0.3382 Negative 0.0 Neutral 0.79 Positive 0.21  \t1\nCompound 0.3382 Negative 0.0 Neutral 0.898 Positive 0.102  \t1\nCompound 0.3384 Negative 0.0 Neutral 0.877 Positive 0.123  \t1\nCompound 0.3391 Negative 0.0 Neutral 0.833 Positive 0.167  \t2\nCompound 0.34 Negative 0.0 Neutral 0.625 Positive 0.375  \t1\nCompound 0.34 Negative 0.0 Neutral 0.676 Positive 0.324  \t2\nCompound 0.34 Negative 0.0 Neutral 0.714 Positive 0.286  \t3\nCompound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  \t16\nCompound 0.34 Negative 0.0 Neutral 0.769 Positive 0.231  \t1\nCompound 0.34 Negative 0.0 Neutral 0.789 Positive 0.211  \t8\nCompound 0.34 Negative 0.0 Neutral 0.806 Positive 0.194  \t1\nCompound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  \t12\nCompound 0.34 Negative 0.0 Neutral 0.833 Positive 0.167  \t4\nCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t17\nCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t50\nCompound 0.34 Negative 0.0 Neutral 0.862 Positive 0.138  \t7\nCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \t24\nCompound 0.34 Negative 0.0 Neutral 0.876 Positive 0.124  \t3\nCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \t75\nCompound 0.34 Negative 0.0 Neutral 0.888 Positive 0.112  \t13\nCompound 0.34 Negative 0.0 Neutral 0.893 Positive 0.107  \t3\nCompound 0.34 Negative 0.0 Neutral 0.902 Positive 0.098  \t1\nCompound 0.34 Negative 0.121 Neutral 0.632 Positive 0.247  \t1\nCompound 0.3412 Negative 0.0 Neutral 0.806 Positive 0.194  \t2\nCompound 0.3451 Negative 0.0 Neutral 0.868 Positive 0.132  \t1\nCompound 0.3485 Negative 0.0 Neutral 0.852 Positive 0.148  \t3\nCompound 0.3485 Negative 0.0 Neutral 0.868 Positive 0.132  \t2\nCompound 0.3527 Negative 0.0 Neutral 0.841 Positive 0.159  \t1\nCompound 0.3527 Negative 0.0 Neutral 0.885 Positive 0.115  \t2\nCompound 0.3527 Negative 0.0 Neutral 0.895 Positive 0.105  \t1\nCompound 0.3595 Negative 0.0 Neutral 0.838 Positive 0.162  \t1\nCompound 0.3595 Negative 0.0 Neutral 0.839 Positive 0.161  \t1\nCompound 0.3595 Negative 0.0 Neutral 0.849 Positive 0.151  \t4\nCompound 0.3595 Negative 0.0 Neutral 0.858 Positive 0.142  \t2\nCompound 0.3595 Negative 0.0 Neutral 0.872 Positive 0.128  \t3\nCompound 0.3595 Negative 0.0 Neutral 0.878 Positive 0.122  \t1\nCompound 0.3595 Negative 0.0 Neutral 0.884 Positive 0.116  \t16\nCompound 0.3595 Negative 0.0 Neutral 0.894 Positive 0.106  \t1\nCompound 0.3595 Negative 0.0 Neutral 0.898 Positive 0.102  \t3\nCompound 0.3612 Negative 0.0 Neutral 0.667 Positive 0.333  \t1\nCompound 0.3612 Negative 0.0 Neutral 0.737 Positive 0.263  \t1\nCompound 0.3612 Negative 0.0 Neutral 0.762 Positive 0.238  \t2\nCompound 0.3612 Negative 0.0 Neutral 0.788 Positive 0.212  \t1\nCompound 0.3612 Negative 0.0 Neutral 0.8 Positive 0.2  \t2\nCompound 0.3612 Negative 0.0 Neutral 0.815 Positive 0.185  \t3\nCompound 0.3612 Negative 0.0 Neutral 0.828 Positive 0.172  \t1\nCompound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  \t15\nCompound 0.3612 Negative 0.0 Neutral 0.848 Positive 0.152  \t6\nCompound 0.3612 Negative 0.0 Neutral 0.857 Positive 0.143  \t5\nCompound 0.3612 Negative 0.0 Neutral 0.865 Positive 0.135  \t2\nCompound 0.3612 Negative 0.0 Neutral 0.872 Positive 0.128  \t6\nCompound 0.3612 Negative 0.0 Neutral 0.878 Positive 0.122  \t7\nCompound 0.3612 Negative 0.0 Neutral 0.884 Positive 0.116  \t5\nCompound 0.3612 Negative 0.0 Neutral 0.889 Positive 0.111  \t14\nCompound 0.3612 Negative 0.0 Neutral 0.894 Positive 0.106  \t6\nCompound 0.3612 Negative 0.0 Neutral 0.898 Positive 0.102  \t1\nCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \t12\nCompound 0.3612 Negative 0.108 Neutral 0.673 Positive 0.22  \t1\nCompound 0.3612 Negative 0.113 Neutral 0.657 Positive 0.23  \t1\nCompound 0.3612 Negative 0.143 Neutral 0.635 Positive 0.222  \t1\nCompound 0.3678 Negative 0.096 Neutral 0.741 Positive 0.163  \t1\nCompound 0.368 Negative 0.0 Neutral 0.664 Positive 0.336  \t1\nCompound 0.368 Negative 0.0 Neutral 0.734 Positive 0.266  \t1\nCompound 0.3727 Negative 0.079 Neutral 0.787 Positive 0.134  \t3\nCompound 0.3727 Negative 0.088 Neutral 0.761 Positive 0.15  \t1\nCompound 0.3727 Negative 0.096 Neutral 0.741 Positive 0.164  \t1\nCompound 0.3736 Negative 0.0 Neutral 0.862 Positive 0.138  \t2\nCompound 0.3736 Negative 0.0 Neutral 0.869 Positive 0.131  \t4\nCompound 0.3736 Negative 0.0 Neutral 0.891 Positive 0.109  \t1\nCompound 0.3769 Negative 0.0 Neutral 0.842 Positive 0.158  \t1\nCompound 0.3802 Negative 0.0 Neutral 0.853 Positive 0.147  \t1\nCompound 0.3802 Negative 0.0 Neutral 0.868 Positive 0.132  \t2\nCompound 0.3802 Negative 0.0 Neutral 0.89 Positive 0.11  \t1\nCompound 0.3804 Negative 0.0 Neutral 0.755 Positive 0.245  \t1\nCompound 0.3818 Negative 0.0 Neutral 0.698 Positive 0.302  \t4\nCompound 0.3818 Negative 0.0 Neutral 0.735 Positive 0.265  \t1\nCompound 0.3818 Negative 0.0 Neutral 0.755 Positive 0.245  \t4\nCompound 0.3818 Negative 0.0 Neutral 0.776 Positive 0.224  \t1\nCompound 0.3818 Negative 0.0 Neutral 0.794 Positive 0.206  \t5\nCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \t25\nCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \t17\nCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \t17\nCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \t19\nCompound 0.3818 Negative 0.0 Neutral 0.852 Positive 0.148  \t8\nCompound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  \t9\nCompound 0.3818 Negative 0.0 Neutral 0.867 Positive 0.133  \t11\nCompound 0.3818 Negative 0.0 Neutral 0.874 Positive 0.126  \t1\nCompound 0.3818 Negative 0.0 Neutral 0.88 Positive 0.12  \t8\nCompound 0.3818 Negative 0.0 Neutral 0.89 Positive 0.11  \t1\nCompound 0.3818 Negative 0.121 Neutral 0.68 Positive 0.199  \t1\nCompound 0.3818 Negative 0.16 Neutral 0.55 Positive 0.29  \t1\nCompound 0.3818 Negative 0.227 Neutral 0.412 Positive 0.361  \t19\nCompound 0.3818 Negative 0.253 Neutral 0.345 Positive 0.402  \t2\nCompound 0.3867 Negative 0.0 Neutral 0.734 Positive 0.266  \t1\nCompound 0.3875 Negative 0.0 Neutral 0.866 Positive 0.134  \t1\nCompound 0.3885 Negative 0.0 Neutral 0.851 Positive 0.149  \t1\nCompound 0.3885 Negative 0.0 Neutral 0.866 Positive 0.134  \t1\nCompound 0.3939 Negative 0.0 Neutral 0.865 Positive 0.135  \t2\nCompound 0.3939 Negative 0.0 Neutral 0.871 Positive 0.129  \t3\nCompound 0.3939 Negative 0.0 Neutral 0.877 Positive 0.123  \t2\nCompound 0.3939 Negative 0.0 Neutral 0.883 Positive 0.117  \t1\nCompound 0.4003 Negative 0.0 Neutral 0.788 Positive 0.212  \t1\nCompound 0.4003 Negative 0.0 Neutral 0.817 Positive 0.183  \t1\nCompound 0.4003 Negative 0.0 Neutral 0.856 Positive 0.144  \t4\nCompound 0.4003 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nCompound 0.4019 Negative 0.0 Neutral 0.649 Positive 0.351  \t1\nCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \t6\nCompound 0.4019 Negative 0.0 Neutral 0.709 Positive 0.291  \t1\nCompound 0.4019 Negative 0.0 Neutral 0.722 Positive 0.278  \t4\nCompound 0.4019 Negative 0.0 Neutral 0.73 Positive 0.27  \t1\nCompound 0.4019 Negative 0.0 Neutral 0.748 Positive 0.252  \t7\nCompound 0.4019 Negative 0.0 Neutral 0.764 Positive 0.236  \t1\nCompound 0.4019 Negative 0.0 Neutral 0.769 Positive 0.231  \t24\nCompound 0.4019 Negative 0.0 Neutral 0.778 Positive 0.222  \t2\nCompound 0.4019 Negative 0.0 Neutral 0.787 Positive 0.213  \t6\nCompound 0.4019 Negative 0.0 Neutral 0.802 Positive 0.198  \t1\nCompound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  \t8\nCompound 0.4019 Negative 0.0 Neutral 0.812 Positive 0.188  \t1\nCompound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  \t12\nCompound 0.4019 Negative 0.0 Neutral 0.828 Positive 0.172  \t12\nCompound 0.4019 Negative 0.0 Neutral 0.829 Positive 0.171  \t1\nCompound 0.4019 Negative 0.0 Neutral 0.838 Positive 0.162  \t10\nCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \t23\nCompound 0.4019 Negative 0.0 Neutral 0.856 Positive 0.144  \t11\nCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \t12\nCompound 0.4019 Negative 0.0 Neutral 0.87 Positive 0.13  \t6\nCompound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  \t34\nCompound 0.4019 Negative 0.0 Neutral 0.886 Positive 0.114  \t1\nCompound 0.4019 Negative 0.0 Neutral 0.895 Positive 0.105  \t1\nCompound 0.4019 Negative 0.108 Neutral 0.686 Positive 0.206  \t1\nCompound 0.4019 Negative 0.117 Neutral 0.661 Positive 0.222  \t1\nCompound 0.4067 Negative 0.0 Neutral 0.855 Positive 0.145  \t1\nCompound 0.4084 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nCompound 0.4084 Negative 0.0 Neutral 0.837 Positive 0.163  \t1\nCompound 0.4098 Negative 0.076 Neutral 0.755 Positive 0.169  \t1\nCompound 0.4122 Negative 0.0 Neutral 0.813 Positive 0.187  \t1\nCompound 0.413 Negative 0.103 Neutral 0.719 Positive 0.178  \t1\nCompound 0.4137 Negative 0.0 Neutral 0.784 Positive 0.216  \t1\nCompound 0.4137 Negative 0.0 Neutral 0.799 Positive 0.201  \t1\nCompound 0.4137 Negative 0.0 Neutral 0.825 Positive 0.175  \t18\nCompound 0.4137 Negative 0.0 Neutral 0.873 Positive 0.127  \t1\nCompound 0.4173 Negative 0.0 Neutral 0.866 Positive 0.134  \t1\nCompound 0.4173 Negative 0.0 Neutral 0.878 Positive 0.122  \t1\nCompound 0.4199 Negative 0.0 Neutral 0.682 Positive 0.318  \t1\nCompound 0.4199 Negative 0.0 Neutral 0.763 Positive 0.237  \t1\nCompound 0.4199 Negative 0.0 Neutral 0.782 Positive 0.218  \t1\nCompound 0.4199 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nCompound 0.4199 Negative 0.0 Neutral 0.823 Positive 0.177  \t2\nCompound 0.4199 Negative 0.0 Neutral 0.834 Positive 0.166  \t2\nCompound 0.4199 Negative 0.0 Neutral 0.859 Positive 0.141  \t1\nCompound 0.4199 Negative 0.0 Neutral 0.872 Positive 0.128  \t2\nCompound 0.4201 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nCompound 0.4201 Negative 0.0 Neutral 0.811 Positive 0.189  \t1\nCompound 0.4201 Negative 0.0 Neutral 0.823 Positive 0.177  \t2\nCompound 0.4215 Negative 0.0 Neutral 0.641 Positive 0.359  \t1\nCompound 0.4215 Negative 0.0 Neutral 0.682 Positive 0.318  \t2\nCompound 0.4215 Negative 0.0 Neutral 0.725 Positive 0.275  \t1\nCompound 0.4215 Negative 0.0 Neutral 0.741 Positive 0.259  \t3\nCompound 0.4215 Negative 0.0 Neutral 0.759 Positive 0.241  \t2\nCompound 0.4215 Negative 0.0 Neutral 0.763 Positive 0.237  \t1\nCompound 0.4215 Negative 0.0 Neutral 0.774 Positive 0.226  \t4\nCompound 0.4215 Negative 0.0 Neutral 0.781 Positive 0.219  \t6\nCompound 0.4215 Negative 0.0 Neutral 0.797 Positive 0.203  \t4\nCompound 0.4215 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nCompound 0.4215 Negative 0.0 Neutral 0.811 Positive 0.189  \t5\nCompound 0.4215 Negative 0.0 Neutral 0.823 Positive 0.177  \t6\nCompound 0.4215 Negative 0.0 Neutral 0.833 Positive 0.167  \t3\nCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \t17\nCompound 0.4215 Negative 0.0 Neutral 0.851 Positive 0.149  \t9\nCompound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  \t10\nCompound 0.4215 Negative 0.0 Neutral 0.865 Positive 0.135  \t2\nCompound 0.4215 Negative 0.0 Neutral 0.872 Positive 0.128  \t7\nCompound 0.4215 Negative 0.0 Neutral 0.877 Positive 0.123  \t1\nCompound 0.4291 Negative 0.0 Neutral 0.795 Positive 0.205  \t2\nCompound 0.4291 Negative 0.0 Neutral 0.821 Positive 0.179  \t1\nCompound 0.4291 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nCompound 0.4299 Negative 0.0 Neutral 0.785 Positive 0.215  \t1\nCompound 0.4303 Negative 0.0 Neutral 0.816 Positive 0.184  \t1\nCompound 0.4314 Negative 0.0 Neutral 0.849 Positive 0.151  \t1\nCompound 0.4329 Negative 0.0 Neutral 0.778 Positive 0.222  \t1\nCompound 0.4329 Negative 0.0 Neutral 0.808 Positive 0.192  \t1\nCompound 0.4329 Negative 0.0 Neutral 0.82 Positive 0.18  \t1\nCompound 0.4329 Negative 0.0 Neutral 0.84 Positive 0.16  \t1\nCompound 0.4329 Negative 0.0 Neutral 0.856 Positive 0.144  \t2\nCompound 0.4329 Negative 0.0 Neutral 0.863 Positive 0.137  \t1\nCompound 0.4329 Negative 0.0 Neutral 0.889 Positive 0.111  \t2\nCompound 0.4364 Negative 0.0 Neutral 0.884 Positive 0.116  \t1\nCompound 0.4374 Negative 0.0 Neutral 0.829 Positive 0.171  \t2\nCompound 0.4389 Negative 0.0 Neutral 0.806 Positive 0.194  \t4\nCompound 0.4389 Negative 0.0 Neutral 0.818 Positive 0.182  \t1\nCompound 0.4389 Negative 0.084 Neutral 0.678 Positive 0.239  \t1\nCompound 0.4391 Negative 0.0 Neutral 0.862 Positive 0.138  \t1\nCompound 0.4404 Negative 0.0 Neutral 0.408 Positive 0.592  \t2\nCompound 0.4404 Negative 0.0 Neutral 0.674 Positive 0.326  \t4\nCompound 0.4404 Negative 0.0 Neutral 0.698 Positive 0.302  \t2\nCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \t15\nCompound 0.4404 Negative 0.0 Neutral 0.719 Positive 0.281  \t1\nCompound 0.4404 Negative 0.0 Neutral 0.734 Positive 0.266  \t8\nCompound 0.4404 Negative 0.0 Neutral 0.756 Positive 0.244  \t10\nCompound 0.4404 Negative 0.0 Neutral 0.769 Positive 0.231  \t3\nCompound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  \t10\nCompound 0.4404 Negative 0.0 Neutral 0.782 Positive 0.218  \t5\nCompound 0.4404 Negative 0.0 Neutral 0.791 Positive 0.209  \t18\nCompound 0.4404 Negative 0.0 Neutral 0.804 Positive 0.196  \t1\nCompound 0.4404 Negative 0.0 Neutral 0.805 Positive 0.195  \t9\nCompound 0.4404 Negative 0.0 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Positive 0.2  ","3"],["Compound 0.4588 Negative 0.0 Neutral 0.813 Positive 0.188  ","5"],["Compound 0.4588 Negative 0.0 Neutral 0.824 Positive 0.176  ","4"],["Compound 0.4588 Negative 0.0 Neutral 0.842 Positive 0.158  ","2"],["Compound 0.4588 Negative 0.0 Neutral 0.85 Positive 0.15  ","2"],["Compound 0.4588 Negative 0.0 Neutral 0.857 Positive 0.143  ","4"],["Compound 0.4588 Negative 0.0 Neutral 0.864 Positive 0.136  ","12"],["Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","58"],["Compound 0.4588 Negative 0.0 Neutral 0.88 Positive 0.12  ","2"],["Compound 0.4682 Negative 0.0 Neutral 0.855 Positive 0.145  ","1"],["Compound 0.4696 Negative 0.0 Neutral 0.782 Positive 0.218  ","1"],["Compound 0.4696 Negative 0.0 Neutral 0.787 Positive 0.213  ","9"],["Compound 0.4696 Negative 0.0 Neutral 0.797 Positive 0.203  ","1"],["Compound 0.4696 Negative 0.0 Neutral 0.809 Positive 0.191  ","1"],["Compound 0.4696 Negative 0.0 Neutral 0.821 Positive 0.179  ","2"],["Compound 0.4696 Negative 0.0 Neutral 0.831 Positive 0.169  ","3"],["Compound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  ","6"],["Compound 0.4696 Negative 0.0 Neutral 0.847 Positive 0.153  ","1"],["Compound 0.4696 Negative 0.0 Neutral 0.855 Positive 0.145  ","1"],["Compound 0.4696 Negative 0.0 Neutral 0.861 Positive 0.139  ","3"],["Compound 0.4696 Negative 0.0 Neutral 0.873 Positive 0.127  ","1"],["Compound 0.4696 Negative 0.0 Neutral 0.878 Positive 0.122  ","1"],["Compound 0.4753 Negative 0.0 Neutral 0.66 Positive 0.34  ","1"],["Compound 0.4753 Negative 0.0 Neutral 0.764 Positive 0.236  ","1"],["Compound 0.4753 Negative 0.0 Neutral 0.795 Positive 0.205  ","2"],["Compound 0.4753 Negative 0.0 Neutral 0.808 Positive 0.192  ","1"],["Compound 0.4753 Negative 0.0 Neutral 0.838 Positive 0.162  ","1"],["Compound 0.4753 Negative 0.0 Neutral 0.846 Positive 0.154  ","2"],["Compound 0.4753 Negative 0.0 Neutral 0.853 Positive 0.147  ","1"],["Compound 0.4753 Negative 0.094 Neutral 0.681 Positive 0.225  ","7"],["Compound 0.4753 Negative 0.098 Neutral 0.667 Positive 0.235  ","1"],["Compound 0.4753 Negative 0.102 Neutral 0.651 Positive 0.246  ","1"],["Compound 0.4754 Negative 0.0 Neutral 0.66 Positive 0.34  ","1"],["Compound 0.4754 Negative 0.0 Neutral 0.721 Positive 0.279  ","1"],["Compound 0.4754 Negative 0.0 Neutral 0.808 Positive 0.192  ","1"],["Compound 0.4754 Negative 0.0 Neutral 0.838 Positive 0.162  ","5"],["Compound 0.4767 Negative 0.0 Neutral 0.492 Positive 0.508  ","1"],["Compound 0.4767 Negative 0.0 Neutral 0.617 Positive 0.383  ","1"],["Compound 0.4767 Negative 0.0 Neutral 0.659 Positive 0.341  ","1"],["Compound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  ","8"],["Compound 0.4767 Negative 0.0 Neutral 0.721 Positive 0.279  ","2"],["Compound 0.4767 Negative 0.0 Neutral 0.728 Positive 0.272  ","1"],["Compound 0.4767 Negative 0.0 Neutral 0.744 Positive 0.256  ","5"],["Compound 0.4767 Negative 0.0 Neutral 0.745 Positive 0.255  ","1"],["Compound 0.4767 Negative 0.0 Neutral 0.76 Positive 0.24  ","2"],["Compound 0.4767 Negative 0.0 Neutral 0.763 Positive 0.237  ","4"],["Compound 0.4767 Negative 0.0 Neutral 0.773 Positive 0.227  ","5"],["Compound 0.4767 Negative 0.0 Neutral 0.78 Positive 0.22  ","5"],["Compound 0.4767 Negative 0.0 Neutral 0.785 Positive 0.215  ","2"],["Compound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  ","13"],["Compound 0.4767 Negative 0.0 Neutral 0.796 Positive 0.204  ","1"],["Compound 0.4767 Negative 0.0 Neutral 0.806 Positive 0.194  ","5"],["Compound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  ","29"],["Compound 0.4767 Negative 0.0 Neutral 0.819 Positive 0.181  ","5"],["Compound 0.4767 Negative 0.0 Neutral 0.829 Positive 0.171  ","16"],["Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","20"],["Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","18"],["Compound 0.4767 Negative 0.0 Neutral 0.853 Positive 0.147  ","5"],["Compound 0.4767 Negative 0.0 Neutral 0.86 Positive 0.14  ","1"],["Compound 0.4767 Negative 0.0 Neutral 0.866 Positive 0.134  ","3"],["Compound 0.4767 Negative 0.107 Neutral 0.634 Positive 0.259  ","1"],["Compound 0.4767 Negative 0.126 Neutral 0.605 Positive 0.27  ","1"]]},"dateCreated":"2016-09-29T14:40:28+0000","dateStarted":"2016-09-30T15:21:55+0000","dateFinished":"2016-09-30T15:21:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:304"},{"text":"%phoenix\n\nselect minute, sentiment, count(1) as cnt from\n(\n   select substr(time, 0, 16) as minute, handle,  sentiment, length(msg) as wordcount, msg  from tweets\n) sub1\ngroup by minute, sentiment\norder by minute","dateUpdated":"2016-09-30T17:21:26+0000","config":{"colWidth":12,"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"keys":[{"name":"SUBSTR(TIME, 0, 16)","index":0,"aggr":"sum"}],"values":[{"name":"SENTIMENT","index":1,"aggr":"sum"}],"groups":[],"scatter":{"xAxis":{"name":"SUBSTR(TIME, 0, 16)","index":0,"aggr":"sum"},"yAxis":{"name":"SENTIMENT","index":1,"aggr":"sum"}}},"enabled":true,"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475160198261_-982780421","id":"20160929-144318_266529056","result":{"code":"SUCCESS","type":"TABLE","msg":"SUBSTR(TIME, 0, 16)\tSENTIMENT\tCNT\nFri Sep 30 00:00\tCompound -0.128 Negative 0.176 Neutral 0.824 Positive 0.0  \t1\nFri Sep 30 00:00\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 00:00\tCompound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 00:00\tCompound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  \t1\nFri Sep 30 00:00\tCompound 0.3182 Negative 0.0 Neutral 0.813 Positive 0.187  \t1\nFri Sep 30 00:00\tCompound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  \t1\nFri Sep 30 00:00\tCompound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  \t1\nFri Sep 30 00:00\tCompound 0.5399 Negative 0.0 Neutral 0.789 Positive 0.211  \t1\nFri Sep 30 00:00\tCompound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  \t1\nFri Sep 30 00:01\tCompound -0.168 Negative 0.132 Neutral 0.771 Positive 0.098  \t1\nFri Sep 30 00:01\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 00:01\tCompound 0.1027 Negative 0.0 Neutral 0.915 Positive 0.085  \t1\nFri Sep 30 00:01\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 00:02\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 00:02\tCompound 0.6249 Negative 0.0 Neutral 0.709 Positive 0.291  \t1\nFri Sep 30 00:02\tCompound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  \t1\nFri Sep 30 00:03\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 00:03\tCompound 0.3182 Negative 0.0 Neutral 0.839 Positive 0.161  \t1\nFri Sep 30 00:03\tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \t1\nFri Sep 30 00:03\tCompound 0.4404 Negative 0.0 Neutral 0.879 Positive 0.121  \t1\nFri Sep 30 00:03\tCompound 0.5562 Negative 0.0 Neutral 0.854 Positive 0.146  \t1\nFri Sep 30 00:04\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 00:04\tCompound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  \t1\nFri Sep 30 00:05\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 00:05\tCompound 0.296 Negative 0.131 Neutral 0.654 Positive 0.215  \t1\nFri Sep 30 00:05\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 00:05\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t1\nFri Sep 30 00:05\tCompound 0.6369 Negative 0.0 Neutral 0.741 Positive 0.259  \t1\nFri Sep 30 00:05\tCompound 0.6588 Negative 0.0 Neutral 0.577 Positive 0.423  \t1\nFri Sep 30 00:05\tCompound 0.7003 Negative 0.0 Neutral 0.655 Positive 0.345  \t1\nFri Sep 30 00:06\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 00:06\tCompound 0.34 Negative 0.0 Neutral 0.893 Positive 0.107  \t1\nFri Sep 30 00:06\tCompound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  \t1\nFri Sep 30 00:06\tCompound 0.7003 Negative 0.0 Neutral 0.655 Positive 0.345  \t1\nFri Sep 30 00:07\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 00:07\tCompound 0.34 Negative 0.0 Neutral 0.676 Positive 0.324  \t1\nFri Sep 30 00:07\tCompound 0.3885 Negative 0.0 Neutral 0.851 Positive 0.149  \t1\nFri Sep 30 00:08\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 00:08\tCompound 0.2263 Negative 0.0 Neutral 0.899 Positive 0.101  \t1\nFri Sep 30 00:08\tCompound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  \t1\nFri Sep 30 00:09\tCompound 0.1027 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 00:10\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 00:10\tCompound 0.25 Negative 0.0 Neutral 0.889 Positive 0.111  \t1\nFri Sep 30 00:11\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 00:11\tCompound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nFri Sep 30 00:11\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 00:11\tCompound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  \t1\nFri Sep 30 00:12\tCompound -0.0772 Negative 0.104 Neutral 0.806 Positive 0.09  \t1\nFri Sep 30 00:12\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 00:12\tCompound 0.34 Negative 0.0 Neutral 0.893 Positive 0.107  \t1\nFri Sep 30 00:12\tCompound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  \t1\nFri Sep 30 00:12\tCompound 0.8774 Negative 0.0 Neutral 0.613 Positive 0.387  \t1\nFri Sep 30 00:13\tCompound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  \t1\nFri Sep 30 00:13\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 00:13\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 00:13\tCompound 0.7096 Negative 0.0 Neutral 0.576 Positive 0.424  \t1\nFri Sep 30 00:13\tCompound 0.7399 Negative 0.0 Neutral 0.675 Positive 0.325  \t1\nFri Sep 30 00:14\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 00:14\tCompound 0.4404 Negative 0.0 Neutral 0.791 Positive 0.209  \t1\nFri Sep 30 00:14\tCompound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  \t1\nFri Sep 30 00:15\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t9\nFri Sep 30 00:15\tCompound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  \t1\nFri Sep 30 00:15\tCompound 0.6908 Negative 0.0 Neutral 0.678 Positive 0.322  \t1\nFri Sep 30 00:16\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 00:16\tCompound 0.2023 Negative 0.0 Neutral 0.795 Positive 0.205  \t1\nFri Sep 30 00:16\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \t1\nFri Sep 30 00:16\tCompound 0.8591 Negative 0.0 Neutral 0.642 Positive 0.358  \t1\nFri Sep 30 00:17\tCompound -0.128 Negative 0.12 Neutral 0.88 Positive 0.0  \t1\nFri Sep 30 00:18\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:18\tCompound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nFri Sep 30 00:18\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 00:18\tCompound 0.5267 Negative 0.0 Neutral 0.227 Positive 0.773  \t1\nFri Sep 30 00:18\tCompound 0.6588 Negative 0.0 Neutral 0.646 Positive 0.354  \t1\nFri Sep 30 00:19\tCompound -0.128 Negative 0.13 Neutral 0.87 Positive 0.0  \t1\nFri Sep 30 00:19\tCompound -0.2263 Negative 0.147 Neutral 0.853 Positive 0.0  \t1\nFri Sep 30 00:19\tCompound -0.25 Negative 0.212 Neutral 0.664 Positive 0.124  \t1\nFri Sep 30 00:19\tCompound -0.3595 Negative 0.199 Neutral 0.801 Positive 0.0  \t1\nFri Sep 30 00:19\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 00:19\tCompound 0.4767 Negative 0.0 Neutral 0.866 Positive 0.134  \t1\nFri Sep 30 00:19\tCompound 0.5994 Negative 0.0 Neutral 0.782 Positive 0.218  \t1\nFri Sep 30 00:19\tCompound 0.75 Negative 0.078 Neutral 0.583 Positive 0.34  \t1\nFri Sep 30 00:20\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 00:20\tCompound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  \t1\nFri Sep 30 00:20\tCompound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  \t1\nFri Sep 30 00:20\tCompound 0.6249 Negative 0.0 Neutral 0.709 Positive 0.291  \t1\nFri Sep 30 00:21\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 00:21\tCompound 0.7399 Negative 0.0 Neutral 0.675 Positive 0.325  \t1\nFri Sep 30 00:21\tCompound 0.7399 Negative 0.0 Neutral 0.706 Positive 0.294  \t1\nFri Sep 30 00:22\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t8\nFri Sep 30 00:22\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 00:22\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t1\nFri Sep 30 00:22\tCompound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  \t1\nFri Sep 30 00:23\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 00:23\tCompound 0.0772 Negative 0.0 Neutral 0.915 Positive 0.085  \t1\nFri Sep 30 00:23\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nFri Sep 30 00:23\tCompound 0.4767 Negative 0.0 Neutral 0.866 Positive 0.134  \t1\nFri Sep 30 00:23\tCompound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  \t1\nFri Sep 30 00:24\tCompound -0.5423 Negative 0.2 Neutral 0.8 Positive 0.0  \t1\nFri Sep 30 00:24\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 00:24\tCompound 0.5719 Negative 0.0 Neutral 0.802 Positive 0.198  \t1\nFri Sep 30 00:24\tCompound 0.8176 Negative 0.0 Neutral 0.585 Positive 0.415  \t1\nFri Sep 30 00:24\tCompound 0.89 Negative 0.0 Neutral 0.63 Positive 0.37  \t1\nFri Sep 30 00:25\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 00:25\tCompound 0.1139 Negative 0.0 Neutral 0.922 Positive 0.078  \t1\nFri Sep 30 00:25\tCompound 0.3527 Negative 0.0 Neutral 0.895 Positive 0.105  \t1\nFri Sep 30 00:25\tCompound 0.9186 Negative 0.0 Neutral 0.567 Positive 0.433  \t1\nFri Sep 30 00:26\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 00:26\tCompound 0.128 Negative 0.0 Neutral 0.8 Positive 0.2  \t1\nFri Sep 30 00:26\tCompound 0.128 Negative 0.0 Neutral 0.815 Positive 0.185  \t1\nFri Sep 30 00:26\tCompound 0.4588 Negative 0.0 Neutral 0.8 Positive 0.2  \t1\nFri Sep 30 00:26\tCompound 0.4588 Negative 0.0 Neutral 0.813 Positive 0.188  \t1\nFri Sep 30 00:26\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 00:27\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 00:27\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t1\nFri Sep 30 00:28\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 00:28\tCompound 0.34 Negative 0.0 Neutral 0.902 Positive 0.098  \t1\nFri Sep 30 00:28\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 00:28\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t1\nFri Sep 30 00:29\tCompound -0.128 Negative 0.12 Neutral 0.88 Positive 0.0  \t1\nFri Sep 30 00:29\tCompound 0.765 Negative 0.0 Neutral 0.431 Positive 0.569  \t1\nFri Sep 30 00:30\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 00:30\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \t1\nFri Sep 30 00:30\tCompound 0.6476 Negative 0.077 Neutral 0.592 Positive 0.331  \t1\nFri Sep 30 00:31\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 00:31\tCompound 0.5562 Negative 0.0 Neutral 0.723 Positive 0.277  \t1\nFri Sep 30 00:32\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 00:32\tCompound 0.4696 Negative 0.0 Neutral 0.831 Positive 0.169  \t1\nFri Sep 30 00:32\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 00:33\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 00:33\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t2\nFri Sep 30 00:34\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:34\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t1\nFri Sep 30 00:34\tCompound 0.7177 Negative 0.0 Neutral 0.334 Positive 0.666  \t1\nFri Sep 30 00:35\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:35\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 00:35\tCompound 0.5562 Negative 0.0 Neutral 0.753 Positive 0.247  \t1\nFri Sep 30 00:36\tCompound 0.5562 Negative 0.0 Neutral 0.753 Positive 0.247  \t1\nFri Sep 30 00:37\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t10\nFri Sep 30 00:37\tCompound 0.636 Negative 0.0 Neutral 0.802 Positive 0.198  \t1\nFri Sep 30 00:37\tCompound 0.7177 Negative 0.0 Neutral 0.455 Positive 0.545  \t1\nFri Sep 30 00:38\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 00:39\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:39\tCompound 0.508 Negative 0.0 Neutral 0.733 Positive 0.267  \t1\nFri Sep 30 00:40\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:40\tCompound 0.5562 Negative 0.0 Neutral 0.753 Positive 0.247  \t1\nFri Sep 30 00:41\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 00:41\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t1\nFri Sep 30 00:41\tCompound 0.8402 Negative 0.0 Neutral 0.679 Positive 0.321  \t1\nFri Sep 30 00:42\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 00:42\tCompound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nFri Sep 30 00:43\tCompound -0.3076 Negative 0.106 Neutral 0.894 Positive 0.0  \t1\nFri Sep 30 00:43\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 00:44\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 00:45\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:45\tCompound 0.2263 Negative 0.0 Neutral 0.863 Positive 0.137  \t1\nFri Sep 30 00:46\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 00:46\tCompound 0.2023 Negative 0.0 Neutral 0.833 Positive 0.167  \t1\nFri Sep 30 00:46\tCompound 0.25 Negative 0.0 Neutral 0.889 Positive 0.111  \t1\nFri Sep 30 00:46\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \t1\nFri Sep 30 00:46\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 00:46\tCompound 0.7399 Negative 0.0 Neutral 0.675 Positive 0.325  \t1\nFri Sep 30 00:46\tCompound 0.7399 Negative 0.0 Neutral 0.706 Positive 0.294  \t1\nFri Sep 30 00:47\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 00:47\tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \t1\nFri Sep 30 00:47\tCompound 0.5255 Negative 0.0 Neutral 0.834 Positive 0.166  \t2\nFri Sep 30 00:47\tCompound 0.5792 Negative 0.0 Neutral 0.835 Positive 0.165  \t1\nFri Sep 30 00:47\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t1\nFri Sep 30 00:48\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 00:48\tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \t1\nFri Sep 30 00:48\tCompound 0.6239 Negative 0.0 Neutral 0.662 Positive 0.338  \t1\nFri Sep 30 00:49\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:49\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t1\nFri Sep 30 00:50\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t11\nFri Sep 30 00:50\tCompound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  \t1\nFri Sep 30 00:51\tCompound -0.128 Negative 0.158 Neutral 0.842 Positive 0.0  \t1\nFri Sep 30 00:51\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:52\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:53\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 00:53\tCompound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  \t1\nFri Sep 30 00:53\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t1\nFri Sep 30 00:53\tCompound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nFri Sep 30 00:53\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 00:53\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t1\nFri Sep 30 00:53\tCompound 0.9186 Negative 0.0 Neutral 0.567 Positive 0.433  \t1\nFri Sep 30 00:54\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 00:54\tCompound 0.5106 Negative 0.0 Neutral 0.864 Positive 0.136  \t1\nFri Sep 30 00:55\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 00:55\tCompound 0.2732 Negative 0.0 Neutral 0.769 Positive 0.231  \t1\nFri Sep 30 00:55\tCompound 0.4767 Negative 0.0 Neutral 0.829 Positive 0.171  \t1\nFri Sep 30 00:55\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 00:55\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t1\nFri Sep 30 00:56\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:56\tCompound 0.3885 Negative 0.0 Neutral 0.866 Positive 0.134  \t1\nFri Sep 30 00:56\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t1\nFri Sep 30 00:57\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 00:57\tCompound 0.5562 Negative 0.0 Neutral 0.753 Positive 0.247  \t2\nFri Sep 30 00:58\tCompound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  \t1\nFri Sep 30 00:58\tCompound -0.3595 Negative 0.135 Neutral 0.865 Positive 0.0  \t2\nFri Sep 30 00:58\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 00:59\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 00:59\tCompound 0.368 Negative 0.0 Neutral 0.734 Positive 0.266  \t1\nFri Sep 30 00:59\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 01:00\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 01:01\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:01\tCompound 0.8268 Negative 0.0 Neutral 0.645 Positive 0.355  \t1\nFri Sep 30 01:02\tCompound -0.128 Negative 0.13 Neutral 0.87 Positive 0.0  \t1\nFri Sep 30 01:02\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 01:02\tCompound 0.3612 Negative 0.0 Neutral 0.848 Positive 0.152  \t1\nFri Sep 30 01:03\tCompound -0.3595 Negative 0.135 Neutral 0.865 Positive 0.0  \t1\nFri Sep 30 01:03\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:03\tCompound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  \t1\nFri Sep 30 01:03\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 01:04\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 01:04\tCompound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  \t1\nFri Sep 30 01:04\tCompound 0.4019 Negative 0.0 Neutral 0.787 Positive 0.213  \t1\nFri Sep 30 01:04\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 01:04\tCompound 0.7177 Negative 0.0 Neutral 0.455 Positive 0.545  \t1\nFri Sep 30 01:05\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:05\tCompound 0.5147 Negative 0.056 Neutral 0.768 Positive 0.175  \t1\nFri Sep 30 01:05\tCompound 0.6808 Negative 0.0 Neutral 0.699 Positive 0.301  \t1\nFri Sep 30 01:06\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 01:06\tCompound 0.5792 Negative 0.0 Neutral 0.835 Positive 0.165  \t1\nFri Sep 30 01:06\tCompound 0.6191 Negative 0.083 Neutral 0.681 Positive 0.236  \t1\nFri Sep 30 01:07\tCompound -0.2593 Negative 0.156 Neutral 0.844 Positive 0.0  \t1\nFri Sep 30 01:07\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t10\nFri Sep 30 01:07\tCompound 0.2023 Negative 0.0 Neutral 0.816 Positive 0.184  \t1\nFri Sep 30 01:07\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 01:07\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \t1\nFri Sep 30 01:07\tCompound 0.5794 Negative 0.0 Neutral 0.776 Positive 0.224  \t1\nFri Sep 30 01:07\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 01:07\tCompound 0.6696 Negative 0.0 Neutral 0.308 Positive 0.692  \t1\nFri Sep 30 01:08\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:08\tCompound 0.4404 Negative 0.0 Neutral 0.888 Positive 0.112  \t2\nFri Sep 30 01:08\tCompound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  \t1\nFri Sep 30 01:09\tCompound 0.34 Negative 0.0 Neutral 0.893 Positive 0.107  \t1\nFri Sep 30 01:09\tCompound 0.4404 Negative 0.0 Neutral 0.888 Positive 0.112  \t1\nFri Sep 30 01:09\tCompound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  \t1\nFri Sep 30 01:09\tCompound 0.875 Negative 0.0 Neutral 0.667 Positive 0.333  \t1\nFri Sep 30 01:10\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:10\tCompound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  \t2\nFri Sep 30 01:10\tCompound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  \t1\nFri Sep 30 01:11\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 01:11\tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \t1\nFri Sep 30 01:11\tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \t1\nFri Sep 30 01:12\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:12\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 01:12\tCompound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  \t1\nFri Sep 30 01:13\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:13\tCompound 0.4696 Negative 0.0 Neutral 0.787 Positive 0.213  \t1\nFri Sep 30 01:14\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t10\nFri Sep 30 01:14\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nFri Sep 30 01:15\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 01:15\tCompound 0.7964 Negative 0.0 Neutral 0.664 Positive 0.336  \t1\nFri Sep 30 01:16\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:16\tCompound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  \t1\nFri Sep 30 01:17\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:18\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:19\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:19\tCompound 0.3818 Negative 0.227 Neutral 0.412 Positive 0.361  \t1\nFri Sep 30 01:19\tCompound 0.4404 Negative 0.0 Neutral 0.791 Positive 0.209  \t1\nFri Sep 30 01:20\tCompound 0.128 Negative 0.0 Neutral 0.762 Positive 0.238  \t1\nFri Sep 30 01:20\tCompound 0.4215 Negative 0.0 Neutral 0.872 Positive 0.128  \t1\nFri Sep 30 01:21\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:22\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:22\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nFri Sep 30 01:23\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:23\tCompound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nFri Sep 30 01:23\tCompound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  \t1\nFri Sep 30 01:24\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 01:24\tCompound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  \t1\nFri Sep 30 01:24\tCompound 0.7906 Negative 0.0 Neutral 0.533 Positive 0.467  \t1\nFri Sep 30 01:25\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t9\nFri Sep 30 01:25\tCompound 0.128 Negative 0.0 Neutral 0.667 Positive 0.333  \t1\nFri Sep 30 01:26\tCompound -0.3182 Negative 0.247 Neutral 0.753 Positive 0.0  \t1\nFri Sep 30 01:26\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:26\tCompound 0.2481 Negative 0.0 Neutral 0.778 Positive 0.222  \t1\nFri Sep 30 01:26\tCompound 0.2714 Negative 0.103 Neutral 0.739 Positive 0.157  \t1\nFri Sep 30 01:26\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 01:26\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t1\nFri Sep 30 01:27\tCompound -0.296 Negative 0.121 Neutral 0.879 Positive 0.0  \t1\nFri Sep 30 01:27\tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \t1\nFri Sep 30 01:27\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:27\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nFri Sep 30 01:27\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t1\nFri Sep 30 01:27\tCompound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  \t1\nFri Sep 30 01:27\tCompound 0.7027 Negative 0.0 Neutral 0.624 Positive 0.376  \t1\nFri Sep 30 01:27\tCompound 0.7027 Negative 0.0 Neutral 0.675 Positive 0.325  \t1\nFri Sep 30 01:28\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:28\tCompound 0.5233 Negative 0.0 Neutral 0.727 Positive 0.273  \t1\nFri Sep 30 01:29\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:29\tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \t1\nFri Sep 30 01:29\tCompound 0.5859 Negative 0.0 Neutral 0.759 Positive 0.241  \t1\nFri Sep 30 01:29\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 01:30\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:30\tCompound 0.4215 Negative 0.0 Neutral 0.763 Positive 0.237  \t1\nFri Sep 30 01:30\tCompound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  \t1\nFri Sep 30 01:30\tCompound 0.5106 Negative 0.0 Neutral 0.736 Positive 0.264  \t1\nFri Sep 30 01:30\tCompound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  \t1\nFri Sep 30 01:31\tCompound -0.296 Negative 0.099 Neutral 0.901 Positive 0.0  \t1\nFri Sep 30 01:31\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:31\tCompound 0.5719 Negative 0.0 Neutral 0.709 Positive 0.291  \t1\nFri Sep 30 01:31\tCompound 0.5794 Negative 0.0 Neutral 0.776 Positive 0.224  \t1\nFri Sep 30 01:32\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:32\tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \t1\nFri Sep 30 01:32\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t1\nFri Sep 30 01:33\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:34\tCompound -0.4019 Negative 0.197 Neutral 0.803 Positive 0.0  \t1\nFri Sep 30 01:34\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 01:35\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:35\tCompound 0.4767 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 01:35\tCompound 0.5766 Negative 0.0 Neutral 0.763 Positive 0.237  \t1\nFri Sep 30 01:36\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:36\tCompound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  \t1\nFri Sep 30 01:36\tCompound 0.4927 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 01:36\tCompound 0.7003 Negative 0.0 Neutral 0.707 Positive 0.293  \t1\nFri Sep 30 01:37\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 01:37\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \t1\nFri Sep 30 01:37\tCompound 0.5661 Negative 0.0 Neutral 0.75 Positive 0.25  \t1\nFri Sep 30 01:37\tCompound 0.6808 Negative 0.0 Neutral 0.616 Positive 0.384  \t1\nFri Sep 30 01:37\tCompound 0.765 Negative 0.0 Neutral 0.476 Positive 0.524  \t1\nFri Sep 30 01:37\tCompound 0.7964 Negative 0.0 Neutral 0.69 Positive 0.31  \t2\nFri Sep 30 01:37\tCompound 0.8774 Negative 0.0 Neutral 0.641 Positive 0.359  \t1\nFri Sep 30 01:38\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 01:38\tCompound 0.5562 Negative 0.0 Neutral 0.817 Positive 0.183  \t1\nFri Sep 30 01:38\tCompound 0.6908 Negative 0.0 Neutral 0.637 Positive 0.363  \t1\nFri Sep 30 01:39\tCompound -0.2263 Negative 0.128 Neutral 0.872 Positive 0.0  \t1\nFri Sep 30 01:39\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:39\tCompound 0.5562 Negative 0.0 Neutral 0.817 Positive 0.183  \t1\nFri Sep 30 01:40\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:40\tCompound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  \t1\nFri Sep 30 01:40\tCompound 0.5773 Negative 0.0 Neutral 0.746 Positive 0.254  \t1\nFri Sep 30 01:40\tCompound 0.6996 Negative 0.0 Neutral 0.757 Positive 0.243  \t1\nFri Sep 30 01:40\tCompound 0.748 Negative 0.0 Neutral 0.651 Positive 0.349  \t1\nFri Sep 30 01:41\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:41\tCompound 0.6124 Negative 0.0 Neutral 0.688 Positive 0.313  \t1\nFri Sep 30 01:42\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 01:43\tCompound 0.0772 Negative 0.0 Neutral 0.936 Positive 0.064  \t1\nFri Sep 30 01:43\tCompound 0.5859 Negative 0.0 Neutral 0.714 Positive 0.286  \t1\nFri Sep 30 01:44\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 01:44\tCompound 0.2732 Negative 0.0 Neutral 0.896 Positive 0.104  \t1\nFri Sep 30 01:44\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 01:45\tCompound -0.34 Negative 0.188 Neutral 0.725 Positive 0.087  \t1\nFri Sep 30 01:45\tCompound -0.4215 Negative 0.157 Neutral 0.843 Positive 0.0  \t2\nFri Sep 30 01:45\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 01:45\tCompound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  \t1\nFri Sep 30 01:46\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:46\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 01:46\tCompound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nFri Sep 30 01:46\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 01:46\tCompound 0.6249 Negative 0.0 Neutral 0.733 Positive 0.267  \t1\nFri Sep 30 01:46\tCompound 0.7351 Negative 0.0 Neutral 0.592 Positive 0.408  \t1\nFri Sep 30 01:47\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:48\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:49\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:49\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \t1\nFri Sep 30 01:49\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 01:49\tCompound 0.8481 Negative 0.0 Neutral 0.328 Positive 0.672  \t1\nFri Sep 30 01:50\tCompound -0.296 Negative 0.109 Neutral 0.891 Positive 0.0  \t1\nFri Sep 30 01:50\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:50\tCompound 0.0772 Negative 0.0 Neutral 0.942 Positive 0.058  \t1\nFri Sep 30 01:50\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 01:50\tCompound 0.4926 Negative 0.0 Neutral 0.758 Positive 0.242  \t1\nFri Sep 30 01:51\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:51\tCompound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  \t1\nFri Sep 30 01:51\tCompound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  \t1\nFri Sep 30 01:51\tCompound 0.8433 Negative 0.0 Neutral 0.702 Positive 0.298  \t1\nFri Sep 30 01:52\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:52\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 01:53\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 01:53\tCompound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  \t1\nFri Sep 30 01:53\tCompound 0.4927 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 01:53\tCompound 0.8152 Negative 0.0 Neutral 0.718 Positive 0.282  \t1\nFri Sep 30 01:54\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t8\nFri Sep 30 01:54\tCompound 0.4926 Negative 0.0 Neutral 0.825 Positive 0.175  \t1\nFri Sep 30 01:54\tCompound 0.4927 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 01:54\tCompound 0.6249 Negative 0.0 Neutral 0.661 Positive 0.339  \t1\nFri Sep 30 01:54\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 01:54\tCompound 0.6652 Negative 0.096 Neutral 0.601 Positive 0.303  \t1\nFri Sep 30 01:55\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:55\tCompound 0.8591 Negative 0.0 Neutral 0.642 Positive 0.358  \t1\nFri Sep 30 01:56\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 01:56\tCompound 0.296 Negative 0.131 Neutral 0.654 Positive 0.215  \t1\nFri Sep 30 01:56\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \t1\nFri Sep 30 01:56\tCompound 0.4019 Negative 0.0 Neutral 0.828 Positive 0.172  \t1\nFri Sep 30 01:57\tCompound -0.4215 Negative 0.141 Neutral 0.859 Positive 0.0  \t1\nFri Sep 30 01:57\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:57\tCompound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  \t1\nFri Sep 30 01:58\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 01:59\tCompound -0.5096 Negative 0.141 Neutral 0.859 Positive 0.0  \t1\nFri Sep 30 01:59\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 01:59\tCompound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  \t1\nFri Sep 30 02:00\tCompound -0.3612 Negative 0.217 Neutral 0.783 Positive 0.0  \t1\nFri Sep 30 02:00\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:00\tCompound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  \t1\nFri Sep 30 02:00\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \t1\nFri Sep 30 02:00\tCompound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  \t1\nFri Sep 30 02:00\tCompound 0.6486 Negative 0.0 Neutral 0.762 Positive 0.238  \t1\nFri Sep 30 02:01\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:01\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \t1\nFri Sep 30 02:01\tCompound 0.5267 Negative 0.0 Neutral 0.732 Positive 0.268  \t1\nFri Sep 30 02:01\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t2\nFri Sep 30 02:01\tCompound 0.6908 Negative 0.0 Neutral 0.749 Positive 0.251  \t1\nFri Sep 30 02:01\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t1\nFri Sep 30 02:02\tCompound -0.4215 Negative 0.237 Neutral 0.763 Positive 0.0  \t1\nFri Sep 30 02:02\tCompound -0.4648 Negative 0.275 Neutral 0.725 Positive 0.0  \t1\nFri Sep 30 02:02\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:02\tCompound 0.2263 Negative 0.0 Neutral 0.808 Positive 0.192  \t1\nFri Sep 30 02:02\tCompound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  \t1\nFri Sep 30 02:02\tCompound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  \t1\nFri Sep 30 02:03\tCompound -0.5574 Negative 0.247 Neutral 0.753 Positive 0.0  \t1\nFri Sep 30 02:03\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:03\tCompound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  \t1\nFri Sep 30 02:03\tCompound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  \t1\nFri Sep 30 02:04\tCompound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  \t1\nFri Sep 30 02:04\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:04\tCompound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  \t1\nFri Sep 30 02:04\tCompound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  \t1\nFri Sep 30 02:05\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:05\tCompound 0.3182 Negative 0.0 Neutral 0.685 Positive 0.315  \t1\nFri Sep 30 02:05\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 02:05\tCompound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  \t1\nFri Sep 30 02:05\tCompound 0.5994 Negative 0.0 Neutral 0.726 Positive 0.274  \t1\nFri Sep 30 02:06\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:06\tCompound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  \t1\nFri Sep 30 02:07\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 02:07\tCompound 0.3182 Negative 0.0 Neutral 0.753 Positive 0.247  \t1\nFri Sep 30 02:07\tCompound 0.7351 Negative 0.0 Neutral 0.64 Positive 0.36  \t1\nFri Sep 30 02:08\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:08\tCompound 0.4588 Negative 0.0 Neutral 0.857 Positive 0.143  \t1\nFri Sep 30 02:08\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 02:08\tCompound 0.5267 Negative 0.0 Neutral 0.761 Positive 0.239  \t1\nFri Sep 30 02:08\tCompound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  \t1\nFri Sep 30 02:09\tCompound -0.2263 Negative 0.213 Neutral 0.787 Positive 0.0  \t1\nFri Sep 30 02:09\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:09\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t2\nFri Sep 30 02:09\tCompound 0.8481 Negative 0.0 Neutral 0.423 Positive 0.577  \t1\nFri Sep 30 02:10\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 02:10\tCompound 0.2732 Negative 0.0 Neutral 0.884 Positive 0.116  \t1\nFri Sep 30 02:10\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 02:10\tCompound 0.5794 Negative 0.0 Neutral 0.776 Positive 0.224  \t1\nFri Sep 30 02:11\tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \t1\nFri Sep 30 02:11\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:12\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:13\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t12\nFri Sep 30 02:13\tCompound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  \t1\nFri Sep 30 02:13\tCompound 0.4696 Negative 0.0 Neutral 0.797 Positive 0.203  \t1\nFri Sep 30 02:13\tCompound 0.4696 Negative 0.0 Neutral 0.821 Positive 0.179  \t1\nFri Sep 30 02:13\tCompound 0.7744 Negative 0.0 Neutral 0.62 Positive 0.38  \t1\nFri Sep 30 02:14\tCompound -0.7996 Negative 0.245 Neutral 0.755 Positive 0.0  \t2\nFri Sep 30 02:14\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 02:14\tCompound 0.4696 Negative 0.0 Neutral 0.821 Positive 0.179  \t1\nFri Sep 30 02:14\tCompound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  \t1\nFri Sep 30 02:14\tCompound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  \t1\nFri Sep 30 02:15\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t8\nFri Sep 30 02:15\tCompound 0.2023 Negative 0.0 Neutral 0.893 Positive 0.107  \t1\nFri Sep 30 02:15\tCompound 0.2263 Negative 0.0 Neutral 0.808 Positive 0.192  \t1\nFri Sep 30 02:15\tCompound 0.4215 Negative 0.0 Neutral 0.823 Positive 0.177  \t1\nFri Sep 30 02:15\tCompound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  \t1\nFri Sep 30 02:15\tCompound 0.4927 Negative 0.0 Neutral 0.824 Positive 0.176  \t1\nFri Sep 30 02:16\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 02:16\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nFri Sep 30 02:16\tCompound 0.7399 Negative 0.0 Neutral 0.675 Positive 0.325  \t2\nFri Sep 30 02:16\tCompound 0.7399 Negative 0.0 Neutral 0.719 Positive 0.281  \t1\nFri Sep 30 02:17\tCompound -0.7088 Negative 0.285 Neutral 0.579 Positive 0.135  \t1\nFri Sep 30 02:17\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:17\tCompound 0.4767 Negative 0.0 Neutral 0.866 Positive 0.134  \t1\nFri Sep 30 02:17\tCompound 0.5267 Negative 0.0 Neutral 0.761 Positive 0.239  \t1\nFri Sep 30 02:18\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 02:18\tCompound 0.1139 Negative 0.0 Neutral 0.893 Positive 0.107  \t1\nFri Sep 30 02:18\tCompound 0.3736 Negative 0.0 Neutral 0.869 Positive 0.131  \t1\nFri Sep 30 02:18\tCompound 0.4019 Negative 0.0 Neutral 0.769 Positive 0.231  \t2\nFri Sep 30 02:18\tCompound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  \t1\nFri Sep 30 02:18\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t1\nFri Sep 30 02:19\tCompound -0.3818 Negative 0.205 Neutral 0.795 Positive 0.0  \t1\nFri Sep 30 02:19\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t9\nFri Sep 30 02:19\tCompound 0.1779 Negative 0.0 Neutral 0.914 Positive 0.086  \t1\nFri Sep 30 02:19\tCompound 0.1779 Negative 0.0 Neutral 0.918 Positive 0.082  \t1\nFri Sep 30 02:19\tCompound 0.5423 Negative 0.0 Neutral 0.743 Positive 0.257  \t1\nFri Sep 30 02:19\tCompound 0.5994 Negative 0.0 Neutral 0.606 Positive 0.394  \t1\nFri Sep 30 02:20\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t12\nFri Sep 30 02:21\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 02:21\tCompound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  \t1\nFri Sep 30 02:22\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 02:22\tCompound 0.3182 Negative 0.0 Neutral 0.685 Positive 0.315  \t1\nFri Sep 30 02:22\tCompound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  \t1\nFri Sep 30 02:22\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t1\nFri Sep 30 02:22\tCompound 0.4215 Negative 0.0 Neutral 0.823 Positive 0.177  \t1\nFri Sep 30 02:23\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 02:23\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nFri Sep 30 02:23\tCompound 0.8481 Negative 0.0 Neutral 0.541 Positive 0.459  \t1\nFri Sep 30 02:24\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:24\tCompound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  \t1\nFri Sep 30 02:25\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 02:25\tCompound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  \t1\nFri Sep 30 02:25\tCompound 0.4995 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 02:26\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 02:27\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 02:27\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 02:27\tCompound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  \t2\nFri Sep 30 02:27\tCompound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  \t1\nFri Sep 30 02:28\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:28\tCompound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  \t1\nFri Sep 30 02:29\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:30\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 02:30\tCompound 0.3182 Negative 0.0 Neutral 0.753 Positive 0.247  \t1\nFri Sep 30 02:30\tCompound 0.3818 Negative 0.227 Neutral 0.412 Positive 0.361  \t1\nFri Sep 30 02:30\tCompound 0.4404 Negative 0.0 Neutral 0.791 Positive 0.209  \t1\nFri Sep 30 02:30\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 02:31\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:31\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 02:31\tCompound 0.6369 Negative 0.0 Neutral 0.658 Positive 0.342  \t1\nFri Sep 30 02:31\tCompound 0.9432 Negative 0.0 Neutral 0.36 Positive 0.64  \t1\nFri Sep 30 02:32\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:33\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:34\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:34\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 02:35\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 02:35\tCompound 0.5574 Negative 0.0 Neutral 0.777 Positive 0.223  \t1\nFri Sep 30 02:35\tCompound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 02:36\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 02:36\tCompound 0.5574 Negative 0.0 Neutral 0.705 Positive 0.295  \t1\nFri Sep 30 02:36\tCompound 0.5574 Negative 0.0 Neutral 0.739 Positive 0.261  \t1\nFri Sep 30 02:37\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:37\tCompound 0.1531 Negative 0.191 Neutral 0.636 Positive 0.173  \t1\nFri Sep 30 02:38\tCompound -0.68 Negative 0.315 Neutral 0.685 Positive 0.0  \t1\nFri Sep 30 02:38\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:39\tCompound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  \t1\nFri Sep 30 02:39\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t9\nFri Sep 30 02:39\tCompound 0.5093 Negative 0.0 Neutral 0.68 Positive 0.32  \t1\nFri Sep 30 02:40\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 02:40\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 02:41\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:41\tCompound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  \t1\nFri Sep 30 02:41\tCompound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  \t1\nFri Sep 30 02:42\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:42\tCompound 0.2732 Negative 0.0 Neutral 0.488 Positive 0.512  \t1\nFri Sep 30 02:42\tCompound 0.4696 Negative 0.0 Neutral 0.878 Positive 0.122  \t1\nFri Sep 30 02:42\tCompound 0.5994 Negative 0.0 Neutral 0.726 Positive 0.274  \t1\nFri Sep 30 02:42\tCompound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  \t1\nFri Sep 30 02:43\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 02:43\tCompound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  \t1\nFri Sep 30 02:43\tCompound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  \t1\nFri Sep 30 02:43\tCompound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 02:43\tCompound 0.8402 Negative 0.0 Neutral 0.55 Positive 0.45  \t1\nFri Sep 30 02:44\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:44\tCompound 0.4696 Negative 0.0 Neutral 0.861 Positive 0.139  \t2\nFri Sep 30 02:45\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t8\nFri Sep 30 02:45\tCompound 0.7906 Negative 0.0 Neutral 0.579 Positive 0.421  \t1\nFri Sep 30 02:46\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 02:46\tCompound 0.5983 Negative 0.0 Neutral 0.727 Positive 0.273  \t1\nFri Sep 30 02:47\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:48\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 02:48\tCompound 0.1027 Negative 0.0 Neutral 0.896 Positive 0.104  \t1\nFri Sep 30 02:48\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \t1\nFri Sep 30 02:48\tCompound 0.807 Negative 0.0 Neutral 0.601 Positive 0.399  \t1\nFri Sep 30 02:49\tCompound -0.5859 Negative 0.226 Neutral 0.774 Positive 0.0  \t1\nFri Sep 30 02:49\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:49\tCompound 0.4939 Negative 0.0 Neutral 0.789 Positive 0.211  \t1\nFri Sep 30 02:50\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:50\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t2\nFri Sep 30 02:50\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 02:51\tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \t1\nFri Sep 30 02:51\tCompound 0.4939 Negative 0.0 Neutral 0.789 Positive 0.211  \t1\nFri Sep 30 02:52\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:52\tCompound 0.4939 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 02:53\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:53\tCompound 0.34 Negative 0.0 Neutral 0.888 Positive 0.112  \t1\nFri Sep 30 02:54\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 02:54\tCompound 0.34 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nFri Sep 30 02:54\tCompound 0.4939 Negative 0.0 Neutral 0.789 Positive 0.211  \t1\nFri Sep 30 02:55\tCompound -0.1531 Negative 0.091 Neutral 0.909 Positive 0.0  \t1\nFri Sep 30 02:55\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:55\tCompound 0.4939 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 02:56\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 02:56\tCompound 0.2263 Negative 0.0 Neutral 0.888 Positive 0.112  \t2\nFri Sep 30 02:56\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 02:57\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 02:57\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nFri Sep 30 02:58\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 02:58\tCompound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  \t1\nFri Sep 30 02:59\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 02:59\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nFri Sep 30 02:59\tCompound 0.4389 Negative 0.0 Neutral 0.806 Positive 0.194  \t1\nFri Sep 30 02:59\tCompound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  \t1\nFri Sep 30 03:00\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t10\nFri Sep 30 03:00\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 03:00\tCompound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  \t1\nFri Sep 30 03:01\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 03:01\tCompound 0.2406 Negative 0.0 Neutral 0.897 Positive 0.103  \t1\nFri Sep 30 03:01\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \t1\nFri Sep 30 03:01\tCompound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  \t1\nFri Sep 30 03:02\tCompound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  \t1\nFri Sep 30 03:03\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 03:03\tCompound 0.2481 Negative 0.0 Neutral 0.834 Positive 0.166  \t1\nFri Sep 30 03:03\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 03:04\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 03:04\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 03:04\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \t1\nFri Sep 30 03:04\tCompound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  \t1\nFri Sep 30 03:04\tCompound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  \t1\nFri Sep 30 03:04\tCompound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  \t1\nFri Sep 30 03:05\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:05\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 03:06\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 03:06\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 03:07\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 03:07\tCompound 0.6705 Negative 0.0 Neutral 0.621 Positive 0.379  \t1\nFri Sep 30 03:08\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:08\tCompound 0.3612 Negative 0.0 Neutral 0.762 Positive 0.238  \t1\nFri Sep 30 03:08\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t1\nFri Sep 30 03:09\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 03:09\tCompound 0.5106 Negative 0.0 Neutral 0.732 Positive 0.268  \t1\nFri Sep 30 03:10\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 03:10\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 03:10\tCompound 0.8481 Negative 0.0 Neutral 0.579 Positive 0.421  \t1\nFri Sep 30 03:11\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t8\nFri Sep 30 03:11\tCompound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 03:11\tCompound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  \t1\nFri Sep 30 03:11\tCompound 0.6369 Negative 0.0 Neutral 0.769 Positive 0.231  \t2\nFri Sep 30 03:12\tCompound -0.4003 Negative 0.278 Neutral 0.722 Positive 0.0  \t1\nFri Sep 30 03:12\tCompound -0.4767 Negative 0.307 Neutral 0.693 Positive 0.0  \t1\nFri Sep 30 03:12\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:12\tCompound 0.2023 Negative 0.0 Neutral 0.859 Positive 0.141  \t1\nFri Sep 30 03:12\tCompound 0.4084 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 03:12\tCompound 0.4084 Negative 0.0 Neutral 0.837 Positive 0.163  \t1\nFri Sep 30 03:13\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 03:14\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 03:15\tCompound -0.0762 Negative 0.096 Neutral 0.825 Positive 0.079  \t1\nFri Sep 30 03:15\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 03:15\tCompound 0.3094 Negative 0.0 Neutral 0.861 Positive 0.139  \t1\nFri Sep 30 03:15\tCompound 0.3485 Negative 0.0 Neutral 0.868 Positive 0.132  \t1\nFri Sep 30 03:15\tCompound 0.7088 Negative 0.0 Neutral 0.604 Positive 0.396  \t1\nFri Sep 30 03:15\tCompound 0.7125 Negative 0.0 Neutral 0.753 Positive 0.247  \t1\nFri Sep 30 03:15\tCompound 0.7125 Negative 0.0 Neutral 0.764 Positive 0.236  \t1\nFri Sep 30 03:15\tCompound 0.8481 Negative 0.0 Neutral 0.579 Positive 0.421  \t1\nFri Sep 30 03:16\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 03:16\tCompound 0.5562 Negative 0.0 Neutral 0.834 Positive 0.166  \t1\nFri Sep 30 03:18\tCompound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  \t1\nFri Sep 30 03:19\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t8\nFri Sep 30 03:19\tCompound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  \t1\nFri Sep 30 03:20\tCompound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  \t1\nFri Sep 30 03:20\tCompound -0.2732 Negative 0.117 Neutral 0.81 Positive 0.073  \t1\nFri Sep 30 03:20\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 03:20\tCompound 0.4588 Negative 0.0 Neutral 0.733 Positive 0.267  \t1\nFri Sep 30 03:20\tCompound 0.4588 Negative 0.0 Neutral 0.765 Positive 0.235  \t1\nFri Sep 30 03:21\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:22\tCompound -0.1531 Negative 0.137 Neutral 0.752 Positive 0.111  \t1\nFri Sep 30 03:22\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:23\tCompound -0.34 Negative 0.167 Neutral 0.833 Positive 0.0  \t1\nFri Sep 30 03:23\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 03:23\tCompound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  \t1\nFri Sep 30 03:23\tCompound 0.4754 Negative 0.0 Neutral 0.66 Positive 0.34  \t1\nFri Sep 30 03:23\tCompound 0.4754 Negative 0.0 Neutral 0.721 Positive 0.279  \t1\nFri Sep 30 03:24\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 03:25\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 03:26\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 03:26\tCompound 0.3612 Negative 0.0 Neutral 0.848 Positive 0.152  \t1\nFri Sep 30 03:26\tCompound 0.3612 Negative 0.0 Neutral 0.857 Positive 0.143  \t1\nFri Sep 30 03:26\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 03:26\tCompound 0.5106 Negative 0.0 Neutral 0.798 Positive 0.202  \t1\nFri Sep 30 03:26\tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \t2\nFri Sep 30 03:27\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 03:27\tCompound 0.2023 Negative 0.0 Neutral 0.893 Positive 0.107  \t1\nFri Sep 30 03:28\tCompound -0.128 Negative 0.143 Neutral 0.857 Positive 0.0  \t1\nFri Sep 30 03:28\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:28\tCompound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  \t1\nFri Sep 30 03:28\tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \t1\nFri Sep 30 03:29\tCompound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  \t2\nFri Sep 30 03:29\tCompound -0.1779 Negative 0.172 Neutral 0.69 Positive 0.138  \t1\nFri Sep 30 03:29\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 03:29\tCompound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 03:29\tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \t1\nFri Sep 30 03:30\tCompound -0.1779 Negative 0.172 Neutral 0.69 Positive 0.138  \t1\nFri Sep 30 03:30\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:30\tCompound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  \t1\nFri Sep 30 03:30\tCompound 0.9062 Negative 0.0 Neutral 0.514 Positive 0.486  \t1\nFri Sep 30 03:31\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 03:33\tCompound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  \t1\nFri Sep 30 03:33\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 03:33\tCompound 0.4871 Negative 0.0 Neutral 0.835 Positive 0.165  \t1\nFri Sep 30 03:34\tCompound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  \t1\nFri Sep 30 03:34\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 03:34\tCompound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  \t1\nFri Sep 30 03:34\tCompound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  \t1\nFri Sep 30 03:34\tCompound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  \t1\nFri Sep 30 03:34\tCompound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  \t1\nFri Sep 30 03:34\tCompound 0.6486 Negative 0.063 Neutral 0.679 Positive 0.258  \t1\nFri Sep 30 03:35\tCompound -0.25 Negative 0.125 Neutral 0.875 Positive 0.0  \t1\nFri Sep 30 03:35\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 03:35\tCompound 0.2714 Negative 0.103 Neutral 0.739 Positive 0.157  \t1\nFri Sep 30 03:35\tCompound 0.2924 Negative 0.0 Neutral 0.88 Positive 0.12  \t1\nFri Sep 30 03:35\tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \t1\nFri Sep 30 03:36\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 03:36\tCompound 0.7545 Negative 0.0 Neutral 0.747 Positive 0.253  \t1\nFri Sep 30 03:37\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 03:38\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 03:38\tCompound 0.4404 Negative 0.0 Neutral 0.868 Positive 0.132  \t1\nFri Sep 30 03:38\tCompound 0.7545 Negative 0.0 Neutral 0.747 Positive 0.253  \t1\nFri Sep 30 03:39\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 03:39\tCompound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  \t1\nFri Sep 30 03:39\tCompound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  \t1\nFri Sep 30 03:39\tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \t1\nFri Sep 30 03:39\tCompound 0.7319 Negative 0.0 Neutral 0.745 Positive 0.255  \t1\nFri Sep 30 03:40\tCompound -0.68 Negative 0.365 Neutral 0.635 Positive 0.0  \t1\nFri Sep 30 03:40\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:40\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t1\nFri Sep 30 03:40\tCompound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  \t1\nFri Sep 30 03:40\tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \t1\nFri Sep 30 03:40\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t1\nFri Sep 30 03:41\tCompound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  \t1\nFri Sep 30 03:41\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 03:42\tCompound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  \t1\nFri Sep 30 03:42\tCompound -0.3612 Negative 0.185 Neutral 0.815 Positive 0.0  \t1\nFri Sep 30 03:42\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:42\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 03:42\tCompound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  \t1\nFri Sep 30 03:43\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:43\tCompound 0.2481 Negative 0.0 Neutral 0.858 Positive 0.142  \t1\nFri Sep 30 03:44\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 03:44\tCompound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  \t1\nFri Sep 30 03:45\tCompound -0.128 Negative 0.111 Neutral 0.889 Positive 0.0  \t1\nFri Sep 30 03:45\tCompound -0.4588 Negative 0.19 Neutral 0.81 Positive 0.0  \t1\nFri Sep 30 03:45\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 03:45\tCompound 0.2924 Negative 0.0 Neutral 0.873 Positive 0.127  \t1\nFri Sep 30 03:46\tCompound -0.4588 Negative 0.19 Neutral 0.81 Positive 0.0  \t1\nFri Sep 30 03:46\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:46\tCompound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  \t1\nFri Sep 30 03:47\tCompound -0.5093 Negative 0.184 Neutral 0.723 Positive 0.092  \t1\nFri Sep 30 03:47\tCompound -0.5093 Negative 0.201 Neutral 0.699 Positive 0.1  \t1\nFri Sep 30 03:47\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 03:48\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 03:49\tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \t1\nFri Sep 30 03:49\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 03:49\tCompound 0.3182 Negative 0.0 Neutral 0.777 Positive 0.223  \t1\nFri Sep 30 03:50\tCompound -0.4215 Negative 0.123 Neutral 0.877 Positive 0.0  \t1\nFri Sep 30 03:50\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t11\nFri Sep 30 03:51\tCompound -0.3612 Negative 0.185 Neutral 0.815 Positive 0.0  \t1\nFri Sep 30 03:51\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 03:51\tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \t1\nFri Sep 30 03:52\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 03:52\tCompound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  \t1\nFri Sep 30 03:52\tCompound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  \t1\nFri Sep 30 03:54\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:54\tCompound 0.34 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nFri Sep 30 03:54\tCompound 0.5719 Negative 0.0 Neutral 0.802 Positive 0.198  \t1\nFri Sep 30 03:55\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:55\tCompound 0.34 Negative 0.0 Neutral 0.888 Positive 0.112  \t1\nFri Sep 30 03:55\tCompound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  \t2\nFri Sep 30 03:55\tCompound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  \t1\nFri Sep 30 03:55\tCompound 0.8519 Negative 0.0 Neutral 0.671 Positive 0.329  \t1\nFri Sep 30 03:56\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 03:57\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:57\tCompound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  \t1\nFri Sep 30 03:57\tCompound 0.4404 Negative 0.0 Neutral 0.888 Positive 0.112  \t1\nFri Sep 30 03:57\tCompound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  \t1\nFri Sep 30 03:57\tCompound 0.743 Negative 0.0 Neutral 0.741 Positive 0.259  \t1\nFri Sep 30 03:58\tCompound -0.3804 Negative 0.245 Neutral 0.755 Positive 0.0  \t1\nFri Sep 30 03:58\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 03:58\tCompound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  \t1\nFri Sep 30 03:58\tCompound 0.3612 Negative 0.0 Neutral 0.848 Positive 0.152  \t1\nFri Sep 30 03:59\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:00\tCompound -0.25 Negative 0.153 Neutral 0.764 Positive 0.083  \t1\nFri Sep 30 04:00\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:00\tCompound 0.4767 Negative 0.0 Neutral 0.785 Positive 0.215  \t1\nFri Sep 30 04:01\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:02\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 04:03\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 04:03\tCompound 0.5267 Negative 0.0 Neutral 0.726 Positive 0.274  \t1\nFri Sep 30 04:04\tCompound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  \t1\nFri Sep 30 04:04\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:04\tCompound 0.2263 Negative 0.0 Neutral 0.899 Positive 0.101  \t1\nFri Sep 30 04:05\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 04:05\tCompound 0.7346 Negative 0.0 Neutral 0.564 Positive 0.436  \t1\nFri Sep 30 04:06\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:06\tCompound 0.1779 Negative 0.0 Neutral 0.922 Positive 0.078  \t1\nFri Sep 30 04:06\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 04:07\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:07\tCompound 0.5256 Negative 0.0 Neutral 0.646 Positive 0.354  \t1\nFri Sep 30 04:08\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:08\tCompound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  \t1\nFri Sep 30 04:09\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:09\tCompound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  \t1\nFri Sep 30 04:10\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:10\tCompound 0.6486 Negative 0.066 Neutral 0.664 Positive 0.27  \t1\nFri Sep 30 04:11\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 04:11\tCompound 0.2732 Negative 0.0 Neutral 0.87 Positive 0.13  \t2\nFri Sep 30 04:11\tCompound 0.4696 Negative 0.0 Neutral 0.787 Positive 0.213  \t1\nFri Sep 30 04:12\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 04:12\tCompound 0.4926 Negative 0.0 Neutral 0.814 Positive 0.186  \t1\nFri Sep 30 04:12\tCompound 0.5423 Negative 0.0 Neutral 0.743 Positive 0.257  \t1\nFri Sep 30 04:13\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:14\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t8\nFri Sep 30 04:14\tCompound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  \t2\nFri Sep 30 04:15\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 04:15\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 04:15\tCompound 0.4926 Negative 0.0 Neutral 0.825 Positive 0.175  \t1\nFri Sep 30 04:15\tCompound 0.6486 Negative 0.0 Neutral 0.725 Positive 0.275  \t1\nFri Sep 30 04:16\tCompound -0.7996 Negative 0.245 Neutral 0.755 Positive 0.0  \t1\nFri Sep 30 04:16\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:17\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:17\tCompound 0.1139 Negative 0.0 Neutral 0.829 Positive 0.171  \t1\nFri Sep 30 04:17\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 04:17\tCompound 0.863 Negative 0.0 Neutral 0.688 Positive 0.312  \t1\nFri Sep 30 04:18\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:18\tCompound 0.2023 Negative 0.0 Neutral 0.904 Positive 0.096  \t1\nFri Sep 30 04:18\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 04:18\tCompound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  \t1\nFri Sep 30 04:18\tCompound 0.6716 Negative 0.063 Neutral 0.669 Positive 0.268  \t1\nFri Sep 30 04:19\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:19\tCompound 0.296 Negative 0.0 Neutral 0.901 Positive 0.099  \t1\nFri Sep 30 04:19\tCompound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  \t1\nFri Sep 30 04:20\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:20\tCompound 0.128 Negative 0.0 Neutral 0.667 Positive 0.333  \t1\nFri Sep 30 04:20\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nFri Sep 30 04:20\tCompound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  \t1\nFri Sep 30 04:20\tCompound 0.4019 Negative 0.0 Neutral 0.769 Positive 0.231  \t1\nFri Sep 30 04:20\tCompound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  \t1\nFri Sep 30 04:21\tCompound -0.0516 Negative 0.091 Neutral 0.909 Positive 0.0  \t1\nFri Sep 30 04:21\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:21\tCompound 0.5574 Negative 0.081 Neutral 0.704 Positive 0.215  \t1\nFri Sep 30 04:22\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:22\tCompound 0.128 Negative 0.0 Neutral 0.737 Positive 0.263  \t1\nFri Sep 30 04:22\tCompound 0.3736 Negative 0.0 Neutral 0.891 Positive 0.109  \t1\nFri Sep 30 04:22\tCompound 0.4067 Negative 0.0 Neutral 0.855 Positive 0.145  \t1\nFri Sep 30 04:22\tCompound 0.5764 Negative 0.0 Neutral 0.801 Positive 0.199  \t1\nFri Sep 30 04:23\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:23\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 04:23\tCompound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  \t1\nFri Sep 30 04:23\tCompound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  \t1\nFri Sep 30 04:24\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 04:24\tCompound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  \t1\nFri Sep 30 04:24\tCompound 0.5411 Negative 0.0 Neutral 0.728 Positive 0.272  \t1\nFri Sep 30 04:24\tCompound 0.6597 Negative 0.0 Neutral 0.748 Positive 0.252  \t1\nFri Sep 30 04:25\tCompound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  \t1\nFri Sep 30 04:26\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t8\nFri Sep 30 04:26\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:27\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 04:27\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t3\nFri Sep 30 04:27\tCompound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  \t1\nFri Sep 30 04:27\tCompound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  \t1\nFri Sep 30 04:28\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:28\tCompound 0.2924 Negative 0.0 Neutral 0.873 Positive 0.127  \t1\nFri Sep 30 04:28\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nFri Sep 30 04:28\tCompound 0.4696 Negative 0.0 Neutral 0.787 Positive 0.213  \t1\nFri Sep 30 04:29\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 04:30\tCompound -0.3612 Negative 0.2 Neutral 0.8 Positive 0.0  \t1\nFri Sep 30 04:30\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 04:30\tCompound 0.0772 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 04:31\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:31\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 04:31\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nFri Sep 30 04:31\tCompound 0.3182 Negative 0.0 Neutral 0.85 Positive 0.15  \t1\nFri Sep 30 04:31\tCompound 0.3818 Negative 0.0 Neutral 0.698 Positive 0.302  \t1\nFri Sep 30 04:31\tCompound 0.5255 Negative 0.085 Neutral 0.732 Positive 0.183  \t1\nFri Sep 30 04:32\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:32\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:32\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 04:32\tCompound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  \t1\nFri Sep 30 04:32\tCompound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  \t1\nFri Sep 30 04:33\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:33\tCompound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  \t1\nFri Sep 30 04:34\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:34\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t3\nFri Sep 30 04:34\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 04:35\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:35\tCompound 0.2924 Negative 0.0 Neutral 0.873 Positive 0.127  \t1\nFri Sep 30 04:35\tCompound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  \t1\nFri Sep 30 04:36\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 04:36\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nFri Sep 30 04:36\tCompound 0.7845 Negative 0.0 Neutral 0.655 Positive 0.345  \t1\nFri Sep 30 04:37\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 04:37\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:38\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 04:38\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nFri Sep 30 04:38\tCompound 0.5411 Negative 0.0 Neutral 0.632 Positive 0.368  \t1\nFri Sep 30 04:38\tCompound 0.6369 Negative 0.0 Neutral 0.682 Positive 0.318  \t1\nFri Sep 30 04:39\tCompound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  \t1\nFri Sep 30 04:39\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 04:39\tCompound 0.2869 Negative 0.0 Neutral 0.866 Positive 0.134  \t1\nFri Sep 30 04:39\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:39\tCompound 0.3182 Negative 0.0 Neutral 0.827 Positive 0.173  \t1\nFri Sep 30 04:39\tCompound 0.6124 Negative 0.0 Neutral 0.643 Positive 0.357  \t1\nFri Sep 30 04:40\tCompound -0.1179 Negative 0.141 Neutral 0.739 Positive 0.12  \t1\nFri Sep 30 04:40\tCompound -0.2732 Negative 0.117 Neutral 0.81 Positive 0.073  \t1\nFri Sep 30 04:40\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:40\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nFri Sep 30 04:40\tCompound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  \t1\nFri Sep 30 04:40\tCompound 0.4939 Negative 0.0 Neutral 0.802 Positive 0.198  \t1\nFri Sep 30 04:40\tCompound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  \t1\nFri Sep 30 04:41\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:41\tCompound 0.2023 Negative 0.0 Neutral 0.904 Positive 0.096  \t1\nFri Sep 30 04:41\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nFri Sep 30 04:41\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 04:41\tCompound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  \t1\nFri Sep 30 04:41\tCompound 0.5859 Negative 0.0 Neutral 0.703 Positive 0.297  \t1\nFri Sep 30 04:41\tCompound 0.5859 Negative 0.0 Neutral 0.743 Positive 0.257  \t2\nFri Sep 30 04:42\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:42\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t3\nFri Sep 30 04:43\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:44\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 04:44\tCompound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  \t1\nFri Sep 30 04:45\tCompound -0.4479 Negative 0.197 Neutral 0.803 Positive 0.0  \t1\nFri Sep 30 04:45\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 04:45\tCompound 0.2023 Negative 0.0 Neutral 0.904 Positive 0.096  \t1\nFri Sep 30 04:45\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nFri Sep 30 04:45\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 04:45\tCompound 0.5362 Negative 0.0 Neutral 0.758 Positive 0.242  \t1\nFri Sep 30 04:45\tCompound 0.5632 Negative 0.0 Neutral 0.775 Positive 0.225  \t1\nFri Sep 30 04:46\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:46\tCompound 0.7096 Negative 0.0 Neutral 0.576 Positive 0.424  \t1\nFri Sep 30 04:46\tCompound 0.7096 Negative 0.0 Neutral 0.629 Positive 0.371  \t2\nFri Sep 30 04:46\tCompound 0.8221 Negative 0.0 Neutral 0.592 Positive 0.408  \t1\nFri Sep 30 04:47\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 04:47\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 04:47\tCompound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  \t1\nFri Sep 30 04:48\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:48\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:49\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 04:49\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t2\nFri Sep 30 04:49\tCompound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  \t1\nFri Sep 30 04:50\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 04:50\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:51\tCompound -0.6808 Negative 0.248 Neutral 0.752 Positive 0.0  \t1\nFri Sep 30 04:51\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t8\nFri Sep 30 04:51\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:51\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 04:52\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 04:52\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:52\tCompound 0.7096 Negative 0.0 Neutral 0.629 Positive 0.371  \t1\nFri Sep 30 04:53\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 04:53\tCompound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  \t1\nFri Sep 30 04:54\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t6\nFri Sep 30 04:54\tCompound 0.2869 Negative 0.0 Neutral 0.866 Positive 0.134  \t1\nFri Sep 30 04:54\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 04:55\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t7\nFri Sep 30 04:55\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:55\tCompound 0.3182 Negative 0.0 Neutral 0.859 Positive 0.141  \t1\nFri Sep 30 04:55\tCompound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  \t1\nFri Sep 30 04:55\tCompound 0.5267 Negative 0.0 Neutral 0.825 Positive 0.175  \t1\nFri Sep 30 04:55\tCompound 0.5859 Negative 0.0 Neutral 0.725 Positive 0.275  \t1\nFri Sep 30 04:55\tCompound 0.8519 Negative 0.0 Neutral 0.583 Positive 0.417  \t1\nFri Sep 30 04:56\tCompound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  \t1\nFri Sep 30 04:56\tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \t1\nFri Sep 30 04:56\tCompound -0.5106 Negative 0.462 Neutral 0.538 Positive 0.0  \t1\nFri Sep 30 04:56\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 04:57\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 04:58\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:59\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 04:59\tCompound 0.296 Negative 0.0 Neutral 0.784 Positive 0.216  \t1\nFri Sep 30 04:59\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 04:59\tCompound 0.4843 Negative 0.0 Neutral 0.772 Positive 0.228  \t1\nFri Sep 30 04:59\tCompound 0.5859 Negative 0.0 Neutral 0.759 Positive 0.241  \t1\nFri Sep 30 05:00\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 05:00\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 05:01\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 05:01\tCompound 0.4843 Negative 0.0 Neutral 0.784 Positive 0.216  \t1\nFri Sep 30 05:02\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 05:02\tCompound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  \t1\nFri Sep 30 05:03\tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \t1\nFri Sep 30 05:03\tCompound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  \t1\nFri Sep 30 05:03\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 05:03\tCompound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  \t1\nFri Sep 30 05:04\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 05:05\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 05:06\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 05:06\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 05:07\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 05:07\tCompound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  \t1\nFri Sep 30 05:08\tCompound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  \t1\nFri Sep 30 05:08\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 05:08\tCompound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  \t1\nFri Sep 30 05:09\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 05:10\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t11\nFri Sep 30 05:10\tCompound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  \t1\nFri Sep 30 05:10\tCompound 0.7425 Negative 0.0 Neutral 0.488 Positive 0.512  \t1\nFri Sep 30 05:11\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 05:12\tCompound 0.0 Negative 0.127 Neutral 0.746 Positive 0.127  \t1\nFri Sep 30 05:12\tCompound 0.4767 Negative 0.0 Neutral 0.745 Positive 0.255  \t1\nFri Sep 30 05:13\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t4\nFri Sep 30 05:13\tCompound 0.5106 Negative 0.0 Neutral 0.837 Positive 0.163  \t1\nFri Sep 30 05:14\tCompound -0.4173 Negative 0.14 Neutral 0.86 Positive 0.0  \t2\nFri Sep 30 05:14\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t3\nFri Sep 30 05:14\tCompound 0.6696 Negative 0.0 Neutral 0.757 Positive 0.243  \t1\nFri Sep 30 05:15\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 05:16\tCompound -0.128 Negative 0.13 Neutral 0.87 Positive 0.0  \t1\nFri Sep 30 05:16\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 05:16\tCompound 0.3595 Negative 0.0 Neutral 0.884 Positive 0.116  \t1\nFri Sep 30 05:17\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 05:17\tCompound 0.7351 Negative 0.0 Neutral 0.617 Positive 0.383  \t1\nFri Sep 30 05:17\tCompound 0.7351 Negative 0.0 Neutral 0.659 Positive 0.341  \t1\nFri Sep 30 05:17\tCompound 0.743 Negative 0.0 Neutral 0.741 Positive 0.259  \t4\nFri Sep 30 05:18\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 05:18\tCompound 0.2023 Negative 0.0 Neutral 0.878 Positive 0.122  \t1\nFri Sep 30 05:18\tCompound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  \t1\nFri Sep 30 05:19\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t2\nFri Sep 30 05:20\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t1\nFri Sep 30 05:20\tCompound 0.4871 Negative 0.074 Neutral 0.738 Positive 0.188  \t1\nFri Sep 30 05:20\tCompound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  \t1\nFri Sep 30 05:21\tCompound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  \t5\nFri Sep 30 05:21\tCompound 0.4098 Negative 0.076 Neutral 0.755 Positive 0.169  \t1\n","comment":"","msgTable":[[{"key":"SENTIMENT","value":"Fri Sep 30 00:00"},{"key":"SENTIMENT","value":"Compound -0.128 Negative 0.176 Neutral 0.824 Positive 0.0  "},{"key":"SENTIMENT","value":"1"}],[{"key":"CNT","value":"Fri Sep 30 00:00"},{"key":"CNT","value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"key":"CNT","value":"5"}],[{"value":"Fri Sep 30 00:00"},{"value":"Compound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  "},{"value":"1"}],[{"value":"Fri Sep 30 00:00"},{"value":"Compound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  "},{"value":"1"}],[{"value":"Fri Sep 30 00:00"},{"value":"Compound 0.3182 Negative 0.0 Neutral 0.813 Positive 0.187  "},{"value":"1"}],[{"value":"Fri Sep 30 00:00"},{"value":"Compound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  "},{"value":"1"}],[{"value":"Fri Sep 30 00:00"},{"value":"Compound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  "},{"value":"1"}],[{"value":"Fri Sep 30 00:00"},{"value":"Compound 0.5399 Negative 0.0 Neutral 0.789 Positive 0.211  "},{"value":"1"}],[{"value":"Fri Sep 30 00:00"},{"value":"Compound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  "},{"value":"1"}],[{"value":"Fri Sep 30 00:01"},{"value":"Compound -0.168 Negative 0.132 Neutral 0.771 Positive 0.098  "},{"value":"1"}],[{"value":"Fri Sep 30 00:01"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"7"}],[{"value":"Fri Sep 30 00:01"},{"value":"Compound 0.1027 Negative 0.0 Neutral 0.915 Positive 0.085  "},{"value":"1"}],[{"value":"Fri Sep 30 00:01"},{"value":"Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  "},{"value":"1"}],[{"value":"Fri Sep 30 00:02"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"6"}],[{"value":"Fri Sep 30 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05:16"},{"value":"Compound -0.128 Negative 0.13 Neutral 0.87 Positive 0.0  "},{"value":"1"}],[{"value":"Fri Sep 30 05:16"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"1"}],[{"value":"Fri Sep 30 05:16"},{"value":"Compound 0.3595 Negative 0.0 Neutral 0.884 Positive 0.116  "},{"value":"1"}],[{"value":"Fri Sep 30 05:17"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"1"}],[{"value":"Fri Sep 30 05:17"},{"value":"Compound 0.7351 Negative 0.0 Neutral 0.617 Positive 0.383  "},{"value":"1"}],[{"value":"Fri Sep 30 05:17"},{"value":"Compound 0.7351 Negative 0.0 Neutral 0.659 Positive 0.341  "},{"value":"1"}],[{"value":"Fri Sep 30 05:17"},{"value":"Compound 0.743 Negative 0.0 Neutral 0.741 Positive 0.259  "},{"value":"4"}],[{"value":"Fri Sep 30 05:18"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"2"}],[{"value":"Fri Sep 30 05:18"},{"value":"Compound 0.2023 Negative 0.0 Neutral 0.878 Positive 0.122  "},{"value":"1"}],[{"value":"Fri Sep 30 05:18"},{"value":"Compound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  "},{"value":"1"}],[{"value":"Fri Sep 30 05:19"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"2"}],[{"value":"Fri Sep 30 05:20"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"1"}],[{"value":"Fri Sep 30 05:20"},{"value":"Compound 0.4871 Negative 0.074 Neutral 0.738 Positive 0.188  "},{"value":"1"}],[{"value":"Fri Sep 30 05:20"},{"value":"Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  "},{"value":"1"}],[{"value":"Fri Sep 30 05:21"},{"value":"Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  "},{"value":"5"}],[{"value":"Fri Sep 30 05:21"},{"value":"Compound 0.4098 Negative 0.076 Neutral 0.755 Positive 0.169  "},{"value":"1"}]],"columnNames":[{"name":"SUBSTR(TIME, 0, 16)","index":0,"aggr":"sum"},{"name":"SENTIMENT","index":1,"aggr":"sum"},{"name":"CNT","index":2,"aggr":"sum"}],"rows":[["Fri Sep 30 00:00","Compound -0.128 Negative 0.176 Neutral 0.824 Positive 0.0  ","1"],["Fri Sep 30 00:00","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 00:00","Compound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 00:00","Compound 0.2023 Negative 0.0 Neutral 0.886 Positive 0.114  ","1"],["Fri Sep 30 00:00","Compound 0.3182 Negative 0.0 Neutral 0.813 Positive 0.187  ","1"],["Fri Sep 30 00:00","Compound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  ","1"],["Fri Sep 30 00:00","Compound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  ","1"],["Fri Sep 30 00:00","Compound 0.5399 Negative 0.0 Neutral 0.789 Positive 0.211  ","1"],["Fri Sep 30 00:00","Compound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  ","1"],["Fri Sep 30 00:01","Compound -0.168 Negative 0.132 Neutral 0.771 Positive 0.098  ","1"],["Fri Sep 30 00:01","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 00:01","Compound 0.1027 Negative 0.0 Neutral 0.915 Positive 0.085  ","1"],["Fri Sep 30 00:01","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 00:02","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 00:02","Compound 0.6249 Negative 0.0 Neutral 0.709 Positive 0.291  ","1"],["Fri Sep 30 00:02","Compound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  ","1"],["Fri Sep 30 00:03","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 00:03","Compound 0.3182 Negative 0.0 Neutral 0.839 Positive 0.161  ","1"],["Fri Sep 30 00:03","Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  ","1"],["Fri Sep 30 00:03","Compound 0.4404 Negative 0.0 Neutral 0.879 Positive 0.121  ","1"],["Fri Sep 30 00:03","Compound 0.5562 Negative 0.0 Neutral 0.854 Positive 0.146  ","1"],["Fri Sep 30 00:04","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 00:04","Compound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  ","1"],["Fri Sep 30 00:05","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 00:05","Compound 0.296 Negative 0.131 Neutral 0.654 Positive 0.215  ","1"],["Fri Sep 30 00:05","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 00:05","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","1"],["Fri Sep 30 00:05","Compound 0.6369 Negative 0.0 Neutral 0.741 Positive 0.259  ","1"],["Fri Sep 30 00:05","Compound 0.6588 Negative 0.0 Neutral 0.577 Positive 0.423  ","1"],["Fri Sep 30 00:05","Compound 0.7003 Negative 0.0 Neutral 0.655 Positive 0.345  ","1"],["Fri Sep 30 00:06","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 00:06","Compound 0.34 Negative 0.0 Neutral 0.893 Positive 0.107  ","1"],["Fri Sep 30 00:06","Compound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  ","1"],["Fri Sep 30 00:06","Compound 0.7003 Negative 0.0 Neutral 0.655 Positive 0.345  ","1"],["Fri Sep 30 00:07","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 00:07","Compound 0.34 Negative 0.0 Neutral 0.676 Positive 0.324  ","1"],["Fri Sep 30 00:07","Compound 0.3885 Negative 0.0 Neutral 0.851 Positive 0.149  ","1"],["Fri Sep 30 00:08","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 00:08","Compound 0.2263 Negative 0.0 Neutral 0.899 Positive 0.101  ","1"],["Fri Sep 30 00:08","Compound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  ","1"],["Fri Sep 30 00:09","Compound 0.1027 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 00:10","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 00:10","Compound 0.25 Negative 0.0 Neutral 0.889 Positive 0.111  ","1"],["Fri Sep 30 00:11","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 00:11","Compound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  ","1"],["Fri Sep 30 00:11","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 00:11","Compound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  ","1"],["Fri Sep 30 00:12","Compound -0.0772 Negative 0.104 Neutral 0.806 Positive 0.09  ","1"],["Fri Sep 30 00:12","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 00:12","Compound 0.34 Negative 0.0 Neutral 0.893 Positive 0.107  ","1"],["Fri Sep 30 00:12","Compound 0.4019 Negative 0.0 Neutral 0.816 Positive 0.184  ","1"],["Fri Sep 30 00:12","Compound 0.8774 Negative 0.0 Neutral 0.613 Positive 0.387  ","1"],["Fri Sep 30 00:13","Compound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  ","1"],["Fri Sep 30 00:13","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 00:13","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 00:13","Compound 0.7096 Negative 0.0 Neutral 0.576 Positive 0.424  ","1"],["Fri Sep 30 00:13","Compound 0.7399 Negative 0.0 Neutral 0.675 Positive 0.325  ","1"],["Fri Sep 30 00:14","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 00:14","Compound 0.4404 Negative 0.0 Neutral 0.791 Positive 0.209  ","1"],["Fri Sep 30 00:14","Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","1"],["Fri Sep 30 00:15","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","9"],["Fri Sep 30 00:15","Compound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  ","1"],["Fri Sep 30 00:15","Compound 0.6908 Negative 0.0 Neutral 0.678 Positive 0.322  ","1"],["Fri Sep 30 00:16","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 00:16","Compound 0.2023 Negative 0.0 Neutral 0.795 Positive 0.205  ","1"],["Fri Sep 30 00:16","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","1"],["Fri Sep 30 00:16","Compound 0.8591 Negative 0.0 Neutral 0.642 Positive 0.358  ","1"],["Fri Sep 30 00:17","Compound -0.128 Negative 0.12 Neutral 0.88 Positive 0.0  ","1"],["Fri Sep 30 00:18","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:18","Compound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  ","1"],["Fri Sep 30 00:18","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 00:18","Compound 0.5267 Negative 0.0 Neutral 0.227 Positive 0.773  ","1"],["Fri Sep 30 00:18","Compound 0.6588 Negative 0.0 Neutral 0.646 Positive 0.354  ","1"],["Fri Sep 30 00:19","Compound -0.128 Negative 0.13 Neutral 0.87 Positive 0.0  ","1"],["Fri Sep 30 00:19","Compound -0.2263 Negative 0.147 Neutral 0.853 Positive 0.0  ","1"],["Fri Sep 30 00:19","Compound -0.25 Negative 0.212 Neutral 0.664 Positive 0.124  ","1"],["Fri Sep 30 00:19","Compound -0.3595 Negative 0.199 Neutral 0.801 Positive 0.0  ","1"],["Fri Sep 30 00:19","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 00:19","Compound 0.4767 Negative 0.0 Neutral 0.866 Positive 0.134  ","1"],["Fri Sep 30 00:19","Compound 0.5994 Negative 0.0 Neutral 0.782 Positive 0.218  ","1"],["Fri Sep 30 00:19","Compound 0.75 Negative 0.078 Neutral 0.583 Positive 0.34  ","1"],["Fri Sep 30 00:20","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 00:20","Compound 0.4767 Negative 0.0 Neutral 0.693 Positive 0.307  ","1"],["Fri Sep 30 00:20","Compound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  ","1"],["Fri Sep 30 00:20","Compound 0.6249 Negative 0.0 Neutral 0.709 Positive 0.291  ","1"],["Fri Sep 30 00:21","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 00:21","Compound 0.7399 Negative 0.0 Neutral 0.675 Positive 0.325  ","1"],["Fri Sep 30 00:21","Compound 0.7399 Negative 0.0 Neutral 0.706 Positive 0.294  ","1"],["Fri Sep 30 00:22","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","8"],["Fri Sep 30 00:22","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 00:22","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","1"],["Fri Sep 30 00:22","Compound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  ","1"],["Fri Sep 30 00:23","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 00:23","Compound 0.0772 Negative 0.0 Neutral 0.915 Positive 0.085  ","1"],["Fri Sep 30 00:23","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","1"],["Fri Sep 30 00:23","Compound 0.4767 Negative 0.0 Neutral 0.866 Positive 0.134  ","1"],["Fri Sep 30 00:23","Compound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  ","1"],["Fri Sep 30 00:24","Compound -0.5423 Negative 0.2 Neutral 0.8 Positive 0.0  ","1"],["Fri Sep 30 00:24","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 00:24","Compound 0.5719 Negative 0.0 Neutral 0.802 Positive 0.198  ","1"],["Fri Sep 30 00:24","Compound 0.8176 Negative 0.0 Neutral 0.585 Positive 0.415  ","1"],["Fri Sep 30 00:24","Compound 0.89 Negative 0.0 Neutral 0.63 Positive 0.37  ","1"],["Fri Sep 30 00:25","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 00:25","Compound 0.1139 Negative 0.0 Neutral 0.922 Positive 0.078  ","1"],["Fri Sep 30 00:25","Compound 0.3527 Negative 0.0 Neutral 0.895 Positive 0.105  ","1"],["Fri Sep 30 00:25","Compound 0.9186 Negative 0.0 Neutral 0.567 Positive 0.433  ","1"],["Fri Sep 30 00:26","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 00:26","Compound 0.128 Negative 0.0 Neutral 0.8 Positive 0.2  ","1"],["Fri Sep 30 00:26","Compound 0.128 Negative 0.0 Neutral 0.815 Positive 0.185  ","1"],["Fri Sep 30 00:26","Compound 0.4588 Negative 0.0 Neutral 0.8 Positive 0.2  ","1"],["Fri Sep 30 00:26","Compound 0.4588 Negative 0.0 Neutral 0.813 Positive 0.188  ","1"],["Fri Sep 30 00:26","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 00:27","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 00:27","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","1"],["Fri Sep 30 00:28","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 00:28","Compound 0.34 Negative 0.0 Neutral 0.902 Positive 0.098  ","1"],["Fri Sep 30 00:28","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 00:28","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","1"],["Fri Sep 30 00:29","Compound -0.128 Negative 0.12 Neutral 0.88 Positive 0.0  ","1"],["Fri Sep 30 00:29","Compound 0.765 Negative 0.0 Neutral 0.431 Positive 0.569  ","1"],["Fri Sep 30 00:30","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 00:30","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","1"],["Fri Sep 30 00:30","Compound 0.6476 Negative 0.077 Neutral 0.592 Positive 0.331  ","1"],["Fri Sep 30 00:31","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 00:31","Compound 0.5562 Negative 0.0 Neutral 0.723 Positive 0.277  ","1"],["Fri Sep 30 00:32","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 00:32","Compound 0.4696 Negative 0.0 Neutral 0.831 Positive 0.169  ","1"],["Fri Sep 30 00:32","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 00:33","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 00:33","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","2"],["Fri Sep 30 00:34","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:34","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","1"],["Fri Sep 30 00:34","Compound 0.7177 Negative 0.0 Neutral 0.334 Positive 0.666  ","1"],["Fri Sep 30 00:35","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:35","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 00:35","Compound 0.5562 Negative 0.0 Neutral 0.753 Positive 0.247  ","1"],["Fri Sep 30 00:36","Compound 0.5562 Negative 0.0 Neutral 0.753 Positive 0.247  ","1"],["Fri Sep 30 00:37","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","10"],["Fri Sep 30 00:37","Compound 0.636 Negative 0.0 Neutral 0.802 Positive 0.198  ","1"],["Fri Sep 30 00:37","Compound 0.7177 Negative 0.0 Neutral 0.455 Positive 0.545  ","1"],["Fri Sep 30 00:38","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 00:39","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:39","Compound 0.508 Negative 0.0 Neutral 0.733 Positive 0.267  ","1"],["Fri Sep 30 00:40","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:40","Compound 0.5562 Negative 0.0 Neutral 0.753 Positive 0.247  ","1"],["Fri Sep 30 00:41","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 00:41","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","1"],["Fri Sep 30 00:41","Compound 0.8402 Negative 0.0 Neutral 0.679 Positive 0.321  ","1"],["Fri Sep 30 00:42","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 00:42","Compound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  ","1"],["Fri Sep 30 00:43","Compound -0.3076 Negative 0.106 Neutral 0.894 Positive 0.0  ","1"],["Fri Sep 30 00:43","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 00:44","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 00:45","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:45","Compound 0.2263 Negative 0.0 Neutral 0.863 Positive 0.137  ","1"],["Fri Sep 30 00:46","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 00:46","Compound 0.2023 Negative 0.0 Neutral 0.833 Positive 0.167  ","1"],["Fri Sep 30 00:46","Compound 0.25 Negative 0.0 Neutral 0.889 Positive 0.111  ","1"],["Fri Sep 30 00:46","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","1"],["Fri Sep 30 00:46","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 00:46","Compound 0.7399 Negative 0.0 Neutral 0.675 Positive 0.325  ","1"],["Fri Sep 30 00:46","Compound 0.7399 Negative 0.0 Neutral 0.706 Positive 0.294  ","1"],["Fri Sep 30 00:47","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 00:47","Compound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  ","1"],["Fri Sep 30 00:47","Compound 0.5255 Negative 0.0 Neutral 0.834 Positive 0.166  ","2"],["Fri Sep 30 00:47","Compound 0.5792 Negative 0.0 Neutral 0.835 Positive 0.165  ","1"],["Fri Sep 30 00:47","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","1"],["Fri Sep 30 00:48","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 00:48","Compound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  ","1"],["Fri Sep 30 00:48","Compound 0.6239 Negative 0.0 Neutral 0.662 Positive 0.338  ","1"],["Fri Sep 30 00:49","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:49","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","1"],["Fri Sep 30 00:50","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","11"],["Fri Sep 30 00:50","Compound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  ","1"],["Fri Sep 30 00:51","Compound -0.128 Negative 0.158 Neutral 0.842 Positive 0.0  ","1"],["Fri Sep 30 00:51","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:52","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:53","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 00:53","Compound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  ","1"],["Fri Sep 30 00:53","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","1"],["Fri Sep 30 00:53","Compound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  ","1"],["Fri Sep 30 00:53","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 00:53","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","1"],["Fri Sep 30 00:53","Compound 0.9186 Negative 0.0 Neutral 0.567 Positive 0.433  ","1"],["Fri Sep 30 00:54","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 00:54","Compound 0.5106 Negative 0.0 Neutral 0.864 Positive 0.136  ","1"],["Fri Sep 30 00:55","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 00:55","Compound 0.2732 Negative 0.0 Neutral 0.769 Positive 0.231  ","1"],["Fri Sep 30 00:55","Compound 0.4767 Negative 0.0 Neutral 0.829 Positive 0.171  ","1"],["Fri Sep 30 00:55","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 00:55","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","1"],["Fri Sep 30 00:56","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:56","Compound 0.3885 Negative 0.0 Neutral 0.866 Positive 0.134  ","1"],["Fri Sep 30 00:56","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","1"],["Fri Sep 30 00:57","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 00:57","Compound 0.5562 Negative 0.0 Neutral 0.753 Positive 0.247  ","2"],["Fri Sep 30 00:58","Compound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  ","1"],["Fri Sep 30 00:58","Compound -0.3595 Negative 0.135 Neutral 0.865 Positive 0.0  ","2"],["Fri Sep 30 00:58","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 00:59","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 00:59","Compound 0.368 Negative 0.0 Neutral 0.734 Positive 0.266  ","1"],["Fri Sep 30 00:59","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 01:00","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 01:01","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:01","Compound 0.8268 Negative 0.0 Neutral 0.645 Positive 0.355  ","1"],["Fri Sep 30 01:02","Compound -0.128 Negative 0.13 Neutral 0.87 Positive 0.0  ","1"],["Fri Sep 30 01:02","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 01:02","Compound 0.3612 Negative 0.0 Neutral 0.848 Positive 0.152  ","1"],["Fri Sep 30 01:03","Compound -0.3595 Negative 0.135 Neutral 0.865 Positive 0.0  ","1"],["Fri Sep 30 01:03","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:03","Compound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  ","1"],["Fri Sep 30 01:03","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 01:04","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 01:04","Compound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  ","1"],["Fri Sep 30 01:04","Compound 0.4019 Negative 0.0 Neutral 0.787 Positive 0.213  ","1"],["Fri Sep 30 01:04","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 01:04","Compound 0.7177 Negative 0.0 Neutral 0.455 Positive 0.545  ","1"],["Fri Sep 30 01:05","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:05","Compound 0.5147 Negative 0.056 Neutral 0.768 Positive 0.175  ","1"],["Fri Sep 30 01:05","Compound 0.6808 Negative 0.0 Neutral 0.699 Positive 0.301  ","1"],["Fri Sep 30 01:06","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 01:06","Compound 0.5792 Negative 0.0 Neutral 0.835 Positive 0.165  ","1"],["Fri Sep 30 01:06","Compound 0.6191 Negative 0.083 Neutral 0.681 Positive 0.236  ","1"],["Fri Sep 30 01:07","Compound -0.2593 Negative 0.156 Neutral 0.844 Positive 0.0  ","1"],["Fri Sep 30 01:07","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","10"],["Fri Sep 30 01:07","Compound 0.2023 Negative 0.0 Neutral 0.816 Positive 0.184  ","1"],["Fri Sep 30 01:07","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 01:07","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","1"],["Fri Sep 30 01:07","Compound 0.5794 Negative 0.0 Neutral 0.776 Positive 0.224  ","1"],["Fri Sep 30 01:07","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 01:07","Compound 0.6696 Negative 0.0 Neutral 0.308 Positive 0.692  ","1"],["Fri Sep 30 01:08","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:08","Compound 0.4404 Negative 0.0 Neutral 0.888 Positive 0.112  ","2"],["Fri Sep 30 01:08","Compound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  ","1"],["Fri Sep 30 01:09","Compound 0.34 Negative 0.0 Neutral 0.893 Positive 0.107  ","1"],["Fri Sep 30 01:09","Compound 0.4404 Negative 0.0 Neutral 0.888 Positive 0.112  ","1"],["Fri Sep 30 01:09","Compound 0.644 Negative 0.0 Neutral 0.774 Positive 0.226  ","1"],["Fri Sep 30 01:09","Compound 0.875 Negative 0.0 Neutral 0.667 Positive 0.333  ","1"],["Fri Sep 30 01:10","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:10","Compound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  ","2"],["Fri Sep 30 01:10","Compound 0.6249 Negative 0.0 Neutral 0.76 Positive 0.24  ","1"],["Fri Sep 30 01:11","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 01:11","Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  ","1"],["Fri Sep 30 01:11","Compound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  ","1"],["Fri Sep 30 01:12","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:12","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 01:12","Compound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  ","1"],["Fri Sep 30 01:13","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:13","Compound 0.4696 Negative 0.0 Neutral 0.787 Positive 0.213  ","1"],["Fri Sep 30 01:14","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","10"],["Fri Sep 30 01:14","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","1"],["Fri Sep 30 01:15","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 01:15","Compound 0.7964 Negative 0.0 Neutral 0.664 Positive 0.336  ","1"],["Fri Sep 30 01:16","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:16","Compound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  ","1"],["Fri Sep 30 01:17","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:18","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:19","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:19","Compound 0.3818 Negative 0.227 Neutral 0.412 Positive 0.361  ","1"],["Fri Sep 30 01:19","Compound 0.4404 Negative 0.0 Neutral 0.791 Positive 0.209  ","1"],["Fri Sep 30 01:20","Compound 0.128 Negative 0.0 Neutral 0.762 Positive 0.238  ","1"],["Fri Sep 30 01:20","Compound 0.4215 Negative 0.0 Neutral 0.872 Positive 0.128  ","1"],["Fri Sep 30 01:21","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:22","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:22","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","1"],["Fri Sep 30 01:23","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:23","Compound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  ","1"],["Fri Sep 30 01:23","Compound 0.6249 Negative 0.0 Neutral 0.823 Positive 0.177  ","1"],["Fri Sep 30 01:24","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 01:24","Compound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  ","1"],["Fri Sep 30 01:24","Compound 0.7906 Negative 0.0 Neutral 0.533 Positive 0.467  ","1"],["Fri Sep 30 01:25","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","9"],["Fri Sep 30 01:25","Compound 0.128 Negative 0.0 Neutral 0.667 Positive 0.333  ","1"],["Fri Sep 30 01:26","Compound -0.3182 Negative 0.247 Neutral 0.753 Positive 0.0  ","1"],["Fri Sep 30 01:26","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:26","Compound 0.2481 Negative 0.0 Neutral 0.778 Positive 0.222  ","1"],["Fri Sep 30 01:26","Compound 0.2714 Negative 0.103 Neutral 0.739 Positive 0.157  ","1"],["Fri Sep 30 01:26","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 01:26","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","1"],["Fri Sep 30 01:27","Compound -0.296 Negative 0.121 Neutral 0.879 Positive 0.0  ","1"],["Fri Sep 30 01:27","Compound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  ","1"],["Fri Sep 30 01:27","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:27","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","1"],["Fri Sep 30 01:27","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","1"],["Fri Sep 30 01:27","Compound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  ","1"],["Fri Sep 30 01:27","Compound 0.7027 Negative 0.0 Neutral 0.624 Positive 0.376  ","1"],["Fri Sep 30 01:27","Compound 0.7027 Negative 0.0 Neutral 0.675 Positive 0.325  ","1"],["Fri Sep 30 01:28","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:28","Compound 0.5233 Negative 0.0 Neutral 0.727 Positive 0.273  ","1"],["Fri Sep 30 01:29","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:29","Compound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  ","1"],["Fri Sep 30 01:29","Compound 0.5859 Negative 0.0 Neutral 0.759 Positive 0.241  ","1"],["Fri Sep 30 01:29","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 01:30","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:30","Compound 0.4215 Negative 0.0 Neutral 0.763 Positive 0.237  ","1"],["Fri Sep 30 01:30","Compound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  ","1"],["Fri Sep 30 01:30","Compound 0.5106 Negative 0.0 Neutral 0.736 Positive 0.264  ","1"],["Fri Sep 30 01:30","Compound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  ","1"],["Fri Sep 30 01:31","Compound -0.296 Negative 0.099 Neutral 0.901 Positive 0.0  ","1"],["Fri Sep 30 01:31","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:31","Compound 0.5719 Negative 0.0 Neutral 0.709 Positive 0.291  ","1"],["Fri Sep 30 01:31","Compound 0.5794 Negative 0.0 Neutral 0.776 Positive 0.224  ","1"],["Fri Sep 30 01:32","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:32","Compound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  ","1"],["Fri Sep 30 01:32","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","1"],["Fri Sep 30 01:33","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:34","Compound -0.4019 Negative 0.197 Neutral 0.803 Positive 0.0  ","1"],["Fri Sep 30 01:34","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 01:35","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:35","Compound 0.4767 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 01:35","Compound 0.5766 Negative 0.0 Neutral 0.763 Positive 0.237  ","1"],["Fri Sep 30 01:36","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:36","Compound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  ","1"],["Fri Sep 30 01:36","Compound 0.4927 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 01:36","Compound 0.7003 Negative 0.0 Neutral 0.707 Positive 0.293  ","1"],["Fri Sep 30 01:37","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 01:37","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","1"],["Fri Sep 30 01:37","Compound 0.5661 Negative 0.0 Neutral 0.75 Positive 0.25  ","1"],["Fri Sep 30 01:37","Compound 0.6808 Negative 0.0 Neutral 0.616 Positive 0.384  ","1"],["Fri Sep 30 01:37","Compound 0.765 Negative 0.0 Neutral 0.476 Positive 0.524  ","1"],["Fri Sep 30 01:37","Compound 0.7964 Negative 0.0 Neutral 0.69 Positive 0.31  ","2"],["Fri Sep 30 01:37","Compound 0.8774 Negative 0.0 Neutral 0.641 Positive 0.359  ","1"],["Fri Sep 30 01:38","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 01:38","Compound 0.5562 Negative 0.0 Neutral 0.817 Positive 0.183  ","1"],["Fri Sep 30 01:38","Compound 0.6908 Negative 0.0 Neutral 0.637 Positive 0.363  ","1"],["Fri Sep 30 01:39","Compound -0.2263 Negative 0.128 Neutral 0.872 Positive 0.0  ","1"],["Fri Sep 30 01:39","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:39","Compound 0.5562 Negative 0.0 Neutral 0.817 Positive 0.183  ","1"],["Fri Sep 30 01:40","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:40","Compound 0.3612 Negative 0.103 Neutral 0.687 Positive 0.21  ","1"],["Fri Sep 30 01:40","Compound 0.5773 Negative 0.0 Neutral 0.746 Positive 0.254  ","1"],["Fri Sep 30 01:40","Compound 0.6996 Negative 0.0 Neutral 0.757 Positive 0.243  ","1"],["Fri Sep 30 01:40","Compound 0.748 Negative 0.0 Neutral 0.651 Positive 0.349  ","1"],["Fri Sep 30 01:41","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:41","Compound 0.6124 Negative 0.0 Neutral 0.688 Positive 0.313  ","1"],["Fri Sep 30 01:42","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 01:43","Compound 0.0772 Negative 0.0 Neutral 0.936 Positive 0.064  ","1"],["Fri Sep 30 01:43","Compound 0.5859 Negative 0.0 Neutral 0.714 Positive 0.286  ","1"],["Fri Sep 30 01:44","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 01:44","Compound 0.2732 Negative 0.0 Neutral 0.896 Positive 0.104  ","1"],["Fri Sep 30 01:44","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 01:45","Compound -0.34 Negative 0.188 Neutral 0.725 Positive 0.087  ","1"],["Fri Sep 30 01:45","Compound -0.4215 Negative 0.157 Neutral 0.843 Positive 0.0  ","2"],["Fri Sep 30 01:45","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 01:45","Compound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  ","1"],["Fri Sep 30 01:46","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:46","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 01:46","Compound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  ","1"],["Fri Sep 30 01:46","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 01:46","Compound 0.6249 Negative 0.0 Neutral 0.733 Positive 0.267  ","1"],["Fri Sep 30 01:46","Compound 0.7351 Negative 0.0 Neutral 0.592 Positive 0.408  ","1"],["Fri Sep 30 01:47","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:48","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:49","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:49","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","1"],["Fri Sep 30 01:49","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 01:49","Compound 0.8481 Negative 0.0 Neutral 0.328 Positive 0.672  ","1"],["Fri Sep 30 01:50","Compound -0.296 Negative 0.109 Neutral 0.891 Positive 0.0  ","1"],["Fri Sep 30 01:50","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:50","Compound 0.0772 Negative 0.0 Neutral 0.942 Positive 0.058  ","1"],["Fri Sep 30 01:50","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 01:50","Compound 0.4926 Negative 0.0 Neutral 0.758 Positive 0.242  ","1"],["Fri Sep 30 01:51","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:51","Compound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  ","1"],["Fri Sep 30 01:51","Compound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  ","1"],["Fri Sep 30 01:51","Compound 0.8433 Negative 0.0 Neutral 0.702 Positive 0.298  ","1"],["Fri Sep 30 01:52","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:52","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 01:53","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 01:53","Compound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  ","1"],["Fri Sep 30 01:53","Compound 0.4927 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 01:53","Compound 0.8152 Negative 0.0 Neutral 0.718 Positive 0.282  ","1"],["Fri Sep 30 01:54","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","8"],["Fri Sep 30 01:54","Compound 0.4926 Negative 0.0 Neutral 0.825 Positive 0.175  ","1"],["Fri Sep 30 01:54","Compound 0.4927 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 01:54","Compound 0.6249 Negative 0.0 Neutral 0.661 Positive 0.339  ","1"],["Fri Sep 30 01:54","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 01:54","Compound 0.6652 Negative 0.096 Neutral 0.601 Positive 0.303  ","1"],["Fri Sep 30 01:55","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:55","Compound 0.8591 Negative 0.0 Neutral 0.642 Positive 0.358  ","1"],["Fri Sep 30 01:56","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 01:56","Compound 0.296 Negative 0.131 Neutral 0.654 Positive 0.215  ","1"],["Fri Sep 30 01:56","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","1"],["Fri Sep 30 01:56","Compound 0.4019 Negative 0.0 Neutral 0.828 Positive 0.172  ","1"],["Fri Sep 30 01:57","Compound -0.4215 Negative 0.141 Neutral 0.859 Positive 0.0  ","1"],["Fri Sep 30 01:57","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:57","Compound 0.0516 Negative 0.136 Neutral 0.72 Positive 0.144  ","1"],["Fri Sep 30 01:58","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 01:59","Compound -0.5096 Negative 0.141 Neutral 0.859 Positive 0.0  ","1"],["Fri Sep 30 01:59","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 01:59","Compound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  ","1"],["Fri Sep 30 02:00","Compound -0.3612 Negative 0.217 Neutral 0.783 Positive 0.0  ","1"],["Fri Sep 30 02:00","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:00","Compound 0.4019 Negative 0.0 Neutral 0.803 Positive 0.197  ","1"],["Fri Sep 30 02:00","Compound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  ","1"],["Fri Sep 30 02:00","Compound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  ","1"],["Fri Sep 30 02:00","Compound 0.6486 Negative 0.0 Neutral 0.762 Positive 0.238  ","1"],["Fri Sep 30 02:01","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:01","Compound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  ","1"],["Fri Sep 30 02:01","Compound 0.5267 Negative 0.0 Neutral 0.732 Positive 0.268  ","1"],["Fri Sep 30 02:01","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","2"],["Fri Sep 30 02:01","Compound 0.6908 Negative 0.0 Neutral 0.749 Positive 0.251  ","1"],["Fri Sep 30 02:01","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","1"],["Fri Sep 30 02:02","Compound -0.4215 Negative 0.237 Neutral 0.763 Positive 0.0  ","1"],["Fri Sep 30 02:02","Compound -0.4648 Negative 0.275 Neutral 0.725 Positive 0.0  ","1"],["Fri Sep 30 02:02","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:02","Compound 0.2263 Negative 0.0 Neutral 0.808 Positive 0.192  ","1"],["Fri Sep 30 02:02","Compound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  ","1"],["Fri Sep 30 02:02","Compound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  ","1"],["Fri Sep 30 02:03","Compound -0.5574 Negative 0.247 Neutral 0.753 Positive 0.0  ","1"],["Fri Sep 30 02:03","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:03","Compound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  ","1"],["Fri Sep 30 02:03","Compound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  ","1"],["Fri Sep 30 02:04","Compound -0.34 Negative 0.124 Neutral 0.876 Positive 0.0  ","1"],["Fri Sep 30 02:04","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:04","Compound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  ","1"],["Fri Sep 30 02:04","Compound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  ","1"],["Fri Sep 30 02:05","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:05","Compound 0.3182 Negative 0.0 Neutral 0.685 Positive 0.315  ","1"],["Fri Sep 30 02:05","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 02:05","Compound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  ","1"],["Fri Sep 30 02:05","Compound 0.5994 Negative 0.0 Neutral 0.726 Positive 0.274  ","1"],["Fri Sep 30 02:06","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:06","Compound 0.5859 Negative 0.0 Neutral 0.774 Positive 0.226  ","1"],["Fri Sep 30 02:07","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 02:07","Compound 0.3182 Negative 0.0 Neutral 0.753 Positive 0.247  ","1"],["Fri Sep 30 02:07","Compound 0.7351 Negative 0.0 Neutral 0.64 Positive 0.36  ","1"],["Fri Sep 30 02:08","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:08","Compound 0.4588 Negative 0.0 Neutral 0.857 Positive 0.143  ","1"],["Fri Sep 30 02:08","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 02:08","Compound 0.5267 Negative 0.0 Neutral 0.761 Positive 0.239  ","1"],["Fri Sep 30 02:08","Compound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  ","1"],["Fri Sep 30 02:09","Compound -0.2263 Negative 0.213 Neutral 0.787 Positive 0.0  ","1"],["Fri Sep 30 02:09","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:09","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","2"],["Fri Sep 30 02:09","Compound 0.8481 Negative 0.0 Neutral 0.423 Positive 0.577  ","1"],["Fri Sep 30 02:10","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 02:10","Compound 0.2732 Negative 0.0 Neutral 0.884 Positive 0.116  ","1"],["Fri Sep 30 02:10","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 02:10","Compound 0.5794 Negative 0.0 Neutral 0.776 Positive 0.224  ","1"],["Fri Sep 30 02:11","Compound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  ","1"],["Fri Sep 30 02:11","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:12","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:13","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","12"],["Fri Sep 30 02:13","Compound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  ","1"],["Fri Sep 30 02:13","Compound 0.4696 Negative 0.0 Neutral 0.797 Positive 0.203  ","1"],["Fri Sep 30 02:13","Compound 0.4696 Negative 0.0 Neutral 0.821 Positive 0.179  ","1"],["Fri Sep 30 02:13","Compound 0.7744 Negative 0.0 Neutral 0.62 Positive 0.38  ","1"],["Fri Sep 30 02:14","Compound -0.7996 Negative 0.245 Neutral 0.755 Positive 0.0  ","2"],["Fri Sep 30 02:14","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 02:14","Compound 0.4696 Negative 0.0 Neutral 0.821 Positive 0.179  ","1"],["Fri Sep 30 02:14","Compound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  ","1"],["Fri Sep 30 02:14","Compound 0.5994 Negative 0.0 Neutral 0.672 Positive 0.328  ","1"],["Fri Sep 30 02:15","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","8"],["Fri Sep 30 02:15","Compound 0.2023 Negative 0.0 Neutral 0.893 Positive 0.107  ","1"],["Fri Sep 30 02:15","Compound 0.2263 Negative 0.0 Neutral 0.808 Positive 0.192  ","1"],["Fri Sep 30 02:15","Compound 0.4215 Negative 0.0 Neutral 0.823 Positive 0.177  ","1"],["Fri Sep 30 02:15","Compound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  ","1"],["Fri Sep 30 02:15","Compound 0.4927 Negative 0.0 Neutral 0.824 Positive 0.176  ","1"],["Fri Sep 30 02:16","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 02:16","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","1"],["Fri Sep 30 02:16","Compound 0.7399 Negative 0.0 Neutral 0.675 Positive 0.325  ","2"],["Fri Sep 30 02:16","Compound 0.7399 Negative 0.0 Neutral 0.719 Positive 0.281  ","1"],["Fri Sep 30 02:17","Compound -0.7088 Negative 0.285 Neutral 0.579 Positive 0.135  ","1"],["Fri Sep 30 02:17","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:17","Compound 0.4767 Negative 0.0 Neutral 0.866 Positive 0.134  ","1"],["Fri Sep 30 02:17","Compound 0.5267 Negative 0.0 Neutral 0.761 Positive 0.239  ","1"],["Fri Sep 30 02:18","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 02:18","Compound 0.1139 Negative 0.0 Neutral 0.893 Positive 0.107  ","1"],["Fri Sep 30 02:18","Compound 0.3736 Negative 0.0 Neutral 0.869 Positive 0.131  ","1"],["Fri Sep 30 02:18","Compound 0.4019 Negative 0.0 Neutral 0.769 Positive 0.231  ","2"],["Fri Sep 30 02:18","Compound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  ","1"],["Fri Sep 30 02:18","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","1"],["Fri Sep 30 02:19","Compound -0.3818 Negative 0.205 Neutral 0.795 Positive 0.0  ","1"],["Fri Sep 30 02:19","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","9"],["Fri Sep 30 02:19","Compound 0.1779 Negative 0.0 Neutral 0.914 Positive 0.086  ","1"],["Fri Sep 30 02:19","Compound 0.1779 Negative 0.0 Neutral 0.918 Positive 0.082  ","1"],["Fri Sep 30 02:19","Compound 0.5423 Negative 0.0 Neutral 0.743 Positive 0.257  ","1"],["Fri Sep 30 02:19","Compound 0.5994 Negative 0.0 Neutral 0.606 Positive 0.394  ","1"],["Fri Sep 30 02:20","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","12"],["Fri Sep 30 02:21","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 02:21","Compound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  ","1"],["Fri Sep 30 02:22","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 02:22","Compound 0.3182 Negative 0.0 Neutral 0.685 Positive 0.315  ","1"],["Fri Sep 30 02:22","Compound 0.34 Negative 0.0 Neutral 0.821 Positive 0.179  ","1"],["Fri Sep 30 02:22","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","1"],["Fri Sep 30 02:22","Compound 0.4215 Negative 0.0 Neutral 0.823 Positive 0.177  ","1"],["Fri Sep 30 02:23","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 02:23","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","1"],["Fri Sep 30 02:23","Compound 0.8481 Negative 0.0 Neutral 0.541 Positive 0.459  ","1"],["Fri Sep 30 02:24","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:24","Compound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  ","1"],["Fri Sep 30 02:25","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 02:25","Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","1"],["Fri Sep 30 02:25","Compound 0.4995 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 02:26","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 02:27","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 02:27","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 02:27","Compound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  ","2"],["Fri Sep 30 02:27","Compound 0.5859 Negative 0.0 Neutral 0.808 Positive 0.192  ","1"],["Fri Sep 30 02:28","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:28","Compound 0.4696 Negative 0.0 Neutral 0.839 Positive 0.161  ","1"],["Fri Sep 30 02:29","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:30","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 02:30","Compound 0.3182 Negative 0.0 Neutral 0.753 Positive 0.247  ","1"],["Fri Sep 30 02:30","Compound 0.3818 Negative 0.227 Neutral 0.412 Positive 0.361  ","1"],["Fri Sep 30 02:30","Compound 0.4404 Negative 0.0 Neutral 0.791 Positive 0.209  ","1"],["Fri Sep 30 02:30","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 02:31","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:31","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 02:31","Compound 0.6369 Negative 0.0 Neutral 0.658 Positive 0.342  ","1"],["Fri Sep 30 02:31","Compound 0.9432 Negative 0.0 Neutral 0.36 Positive 0.64  ","1"],["Fri Sep 30 02:32","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:33","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:34","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:34","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 02:35","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 02:35","Compound 0.5574 Negative 0.0 Neutral 0.777 Positive 0.223  ","1"],["Fri Sep 30 02:35","Compound 0.5661 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 02:36","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 02:36","Compound 0.5574 Negative 0.0 Neutral 0.705 Positive 0.295  ","1"],["Fri Sep 30 02:36","Compound 0.5574 Negative 0.0 Neutral 0.739 Positive 0.261  ","1"],["Fri Sep 30 02:37","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:37","Compound 0.1531 Negative 0.191 Neutral 0.636 Positive 0.173  ","1"],["Fri Sep 30 02:38","Compound -0.68 Negative 0.315 Neutral 0.685 Positive 0.0  ","1"],["Fri Sep 30 02:38","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:39","Compound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  ","1"],["Fri Sep 30 02:39","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","9"],["Fri Sep 30 02:39","Compound 0.5093 Negative 0.0 Neutral 0.68 Positive 0.32  ","1"],["Fri Sep 30 02:40","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 02:40","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 02:41","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:41","Compound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  ","1"],["Fri Sep 30 02:41","Compound 0.5994 Negative 0.0 Neutral 0.71 Positive 0.29  ","1"],["Fri Sep 30 02:42","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:42","Compound 0.2732 Negative 0.0 Neutral 0.488 Positive 0.512  ","1"],["Fri Sep 30 02:42","Compound 0.4696 Negative 0.0 Neutral 0.878 Positive 0.122  ","1"],["Fri Sep 30 02:42","Compound 0.5994 Negative 0.0 Neutral 0.726 Positive 0.274  ","1"],["Fri Sep 30 02:42","Compound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  ","1"],["Fri Sep 30 02:43","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 02:43","Compound 0.4019 Negative 0.0 Neutral 0.863 Positive 0.137  ","1"],["Fri Sep 30 02:43","Compound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  ","1"],["Fri Sep 30 02:43","Compound 0.5859 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 02:43","Compound 0.8402 Negative 0.0 Neutral 0.55 Positive 0.45  ","1"],["Fri Sep 30 02:44","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:44","Compound 0.4696 Negative 0.0 Neutral 0.861 Positive 0.139  ","2"],["Fri Sep 30 02:45","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","8"],["Fri Sep 30 02:45","Compound 0.7906 Negative 0.0 Neutral 0.579 Positive 0.421  ","1"],["Fri Sep 30 02:46","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 02:46","Compound 0.5983 Negative 0.0 Neutral 0.727 Positive 0.273  ","1"],["Fri Sep 30 02:47","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:48","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 02:48","Compound 0.1027 Negative 0.0 Neutral 0.896 Positive 0.104  ","1"],["Fri Sep 30 02:48","Compound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  ","1"],["Fri Sep 30 02:48","Compound 0.807 Negative 0.0 Neutral 0.601 Positive 0.399  ","1"],["Fri Sep 30 02:49","Compound -0.5859 Negative 0.226 Neutral 0.774 Positive 0.0  ","1"],["Fri Sep 30 02:49","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:49","Compound 0.4939 Negative 0.0 Neutral 0.789 Positive 0.211  ","1"],["Fri Sep 30 02:50","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:50","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","2"],["Fri Sep 30 02:50","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 02:51","Compound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  ","1"],["Fri Sep 30 02:51","Compound 0.4939 Negative 0.0 Neutral 0.789 Positive 0.211  ","1"],["Fri Sep 30 02:52","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:52","Compound 0.4939 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 02:53","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:53","Compound 0.34 Negative 0.0 Neutral 0.888 Positive 0.112  ","1"],["Fri Sep 30 02:54","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 02:54","Compound 0.34 Negative 0.0 Neutral 0.876 Positive 0.124  ","1"],["Fri Sep 30 02:54","Compound 0.4939 Negative 0.0 Neutral 0.789 Positive 0.211  ","1"],["Fri Sep 30 02:55","Compound -0.1531 Negative 0.091 Neutral 0.909 Positive 0.0  ","1"],["Fri Sep 30 02:55","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:55","Compound 0.4939 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 02:56","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 02:56","Compound 0.2263 Negative 0.0 Neutral 0.888 Positive 0.112  ","2"],["Fri Sep 30 02:56","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 02:57","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 02:57","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","1"],["Fri Sep 30 02:58","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 02:58","Compound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  ","1"],["Fri Sep 30 02:59","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 02:59","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","1"],["Fri Sep 30 02:59","Compound 0.4389 Negative 0.0 Neutral 0.806 Positive 0.194  ","1"],["Fri Sep 30 02:59","Compound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  ","1"],["Fri Sep 30 03:00","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","10"],["Fri Sep 30 03:00","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 03:00","Compound 0.34 Negative 0.0 Neutral 0.844 Positive 0.156  ","1"],["Fri Sep 30 03:01","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 03:01","Compound 0.2406 Negative 0.0 Neutral 0.897 Positive 0.103  ","1"],["Fri Sep 30 03:01","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","1"],["Fri Sep 30 03:01","Compound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  ","1"],["Fri Sep 30 03:02","Compound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  ","1"],["Fri Sep 30 03:03","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 03:03","Compound 0.2481 Negative 0.0 Neutral 0.834 Positive 0.166  ","1"],["Fri Sep 30 03:03","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 03:04","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 03:04","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 03:04","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","1"],["Fri Sep 30 03:04","Compound 0.4019 Negative 0.0 Neutral 0.69 Positive 0.31  ","1"],["Fri Sep 30 03:04","Compound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  ","1"],["Fri Sep 30 03:04","Compound 0.5994 Negative 0.0 Neutral 0.741 Positive 0.259  ","1"],["Fri Sep 30 03:05","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:05","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 03:06","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 03:06","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 03:07","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 03:07","Compound 0.6705 Negative 0.0 Neutral 0.621 Positive 0.379  ","1"],["Fri Sep 30 03:08","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:08","Compound 0.3612 Negative 0.0 Neutral 0.762 Positive 0.238  ","1"],["Fri Sep 30 03:08","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","1"],["Fri Sep 30 03:09","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 03:09","Compound 0.5106 Negative 0.0 Neutral 0.732 Positive 0.268  ","1"],["Fri Sep 30 03:10","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 03:10","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 03:10","Compound 0.8481 Negative 0.0 Neutral 0.579 Positive 0.421  ","1"],["Fri Sep 30 03:11","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","8"],["Fri Sep 30 03:11","Compound 0.2023 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 03:11","Compound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  ","1"],["Fri Sep 30 03:11","Compound 0.6369 Negative 0.0 Neutral 0.769 Positive 0.231  ","2"],["Fri Sep 30 03:12","Compound -0.4003 Negative 0.278 Neutral 0.722 Positive 0.0  ","1"],["Fri Sep 30 03:12","Compound -0.4767 Negative 0.307 Neutral 0.693 Positive 0.0  ","1"],["Fri Sep 30 03:12","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:12","Compound 0.2023 Negative 0.0 Neutral 0.859 Positive 0.141  ","1"],["Fri Sep 30 03:12","Compound 0.4084 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 03:12","Compound 0.4084 Negative 0.0 Neutral 0.837 Positive 0.163  ","1"],["Fri Sep 30 03:13","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 03:14","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 03:15","Compound -0.0762 Negative 0.096 Neutral 0.825 Positive 0.079  ","1"],["Fri Sep 30 03:15","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 03:15","Compound 0.3094 Negative 0.0 Neutral 0.861 Positive 0.139  ","1"],["Fri Sep 30 03:15","Compound 0.3485 Negative 0.0 Neutral 0.868 Positive 0.132  ","1"],["Fri Sep 30 03:15","Compound 0.7088 Negative 0.0 Neutral 0.604 Positive 0.396  ","1"],["Fri Sep 30 03:15","Compound 0.7125 Negative 0.0 Neutral 0.753 Positive 0.247  ","1"],["Fri Sep 30 03:15","Compound 0.7125 Negative 0.0 Neutral 0.764 Positive 0.236  ","1"],["Fri Sep 30 03:15","Compound 0.8481 Negative 0.0 Neutral 0.579 Positive 0.421  ","1"],["Fri Sep 30 03:16","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 03:16","Compound 0.5562 Negative 0.0 Neutral 0.834 Positive 0.166  ","1"],["Fri Sep 30 03:18","Compound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  ","1"],["Fri Sep 30 03:19","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","8"],["Fri Sep 30 03:19","Compound 0.34 Negative 0.0 Neutral 0.745 Positive 0.255  ","1"],["Fri Sep 30 03:20","Compound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  ","1"],["Fri Sep 30 03:20","Compound -0.2732 Negative 0.117 Neutral 0.81 Positive 0.073  ","1"],["Fri Sep 30 03:20","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 03:20","Compound 0.4588 Negative 0.0 Neutral 0.733 Positive 0.267  ","1"],["Fri Sep 30 03:20","Compound 0.4588 Negative 0.0 Neutral 0.765 Positive 0.235  ","1"],["Fri Sep 30 03:21","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:22","Compound -0.1531 Negative 0.137 Neutral 0.752 Positive 0.111  ","1"],["Fri Sep 30 03:22","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:23","Compound -0.34 Negative 0.167 Neutral 0.833 Positive 0.0  ","1"],["Fri Sep 30 03:23","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 03:23","Compound 0.4019 Negative 0.0 Neutral 0.847 Positive 0.153  ","1"],["Fri Sep 30 03:23","Compound 0.4754 Negative 0.0 Neutral 0.66 Positive 0.34  ","1"],["Fri Sep 30 03:23","Compound 0.4754 Negative 0.0 Neutral 0.721 Positive 0.279  ","1"],["Fri Sep 30 03:24","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 03:25","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 03:26","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 03:26","Compound 0.3612 Negative 0.0 Neutral 0.848 Positive 0.152  ","1"],["Fri Sep 30 03:26","Compound 0.3612 Negative 0.0 Neutral 0.857 Positive 0.143  ","1"],["Fri Sep 30 03:26","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 03:26","Compound 0.5106 Negative 0.0 Neutral 0.798 Positive 0.202  ","1"],["Fri Sep 30 03:26","Compound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  ","2"],["Fri Sep 30 03:27","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 03:27","Compound 0.2023 Negative 0.0 Neutral 0.893 Positive 0.107  ","1"],["Fri Sep 30 03:28","Compound -0.128 Negative 0.143 Neutral 0.857 Positive 0.0  ","1"],["Fri Sep 30 03:28","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:28","Compound 0.4926 Negative 0.0 Neutral 0.79 Positive 0.21  ","1"],["Fri Sep 30 03:28","Compound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  ","1"],["Fri Sep 30 03:29","Compound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  ","2"],["Fri Sep 30 03:29","Compound -0.1779 Negative 0.172 Neutral 0.69 Positive 0.138  ","1"],["Fri Sep 30 03:29","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 03:29","Compound 0.4588 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 03:29","Compound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  ","1"],["Fri Sep 30 03:30","Compound -0.1779 Negative 0.172 Neutral 0.69 Positive 0.138  ","1"],["Fri Sep 30 03:30","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:30","Compound 0.3818 Negative 0.0 Neutral 0.833 Positive 0.167  ","1"],["Fri Sep 30 03:30","Compound 0.9062 Negative 0.0 Neutral 0.514 Positive 0.486  ","1"],["Fri Sep 30 03:31","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 03:33","Compound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  ","1"],["Fri Sep 30 03:33","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 03:33","Compound 0.4871 Negative 0.0 Neutral 0.835 Positive 0.165  ","1"],["Fri Sep 30 03:34","Compound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  ","1"],["Fri Sep 30 03:34","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 03:34","Compound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  ","1"],["Fri Sep 30 03:34","Compound 0.3818 Negative 0.0 Neutral 0.843 Positive 0.157  ","1"],["Fri Sep 30 03:34","Compound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  ","1"],["Fri Sep 30 03:34","Compound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  ","1"],["Fri Sep 30 03:34","Compound 0.6486 Negative 0.063 Neutral 0.679 Positive 0.258  ","1"],["Fri Sep 30 03:35","Compound -0.25 Negative 0.125 Neutral 0.875 Positive 0.0  ","1"],["Fri Sep 30 03:35","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 03:35","Compound 0.2714 Negative 0.103 Neutral 0.739 Positive 0.157  ","1"],["Fri Sep 30 03:35","Compound 0.2924 Negative 0.0 Neutral 0.88 Positive 0.12  ","1"],["Fri Sep 30 03:35","Compound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  ","1"],["Fri Sep 30 03:36","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 03:36","Compound 0.7545 Negative 0.0 Neutral 0.747 Positive 0.253  ","1"],["Fri Sep 30 03:37","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 03:38","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 03:38","Compound 0.4404 Negative 0.0 Neutral 0.868 Positive 0.132  ","1"],["Fri Sep 30 03:38","Compound 0.7545 Negative 0.0 Neutral 0.747 Positive 0.253  ","1"],["Fri Sep 30 03:39","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 03:39","Compound 0.3612 Negative 0.0 Neutral 0.839 Positive 0.161  ","1"],["Fri Sep 30 03:39","Compound 0.504 Negative 0.0 Neutral 0.811 Positive 0.189  ","1"],["Fri Sep 30 03:39","Compound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  ","1"],["Fri Sep 30 03:39","Compound 0.7319 Negative 0.0 Neutral 0.745 Positive 0.255  ","1"],["Fri Sep 30 03:40","Compound -0.68 Negative 0.365 Neutral 0.635 Positive 0.0  ","1"],["Fri Sep 30 03:40","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:40","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","1"],["Fri Sep 30 03:40","Compound 0.4767 Negative 0.0 Neutral 0.846 Positive 0.154  ","1"],["Fri Sep 30 03:40","Compound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  ","1"],["Fri Sep 30 03:40","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","1"],["Fri Sep 30 03:41","Compound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  ","1"],["Fri Sep 30 03:41","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 03:42","Compound -0.0762 Negative 0.086 Neutral 0.842 Positive 0.072  ","1"],["Fri Sep 30 03:42","Compound -0.3612 Negative 0.185 Neutral 0.815 Positive 0.0  ","1"],["Fri Sep 30 03:42","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:42","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 03:42","Compound 0.5106 Negative 0.0 Neutral 0.809 Positive 0.191  ","1"],["Fri Sep 30 03:43","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:43","Compound 0.2481 Negative 0.0 Neutral 0.858 Positive 0.142  ","1"],["Fri Sep 30 03:44","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 03:44","Compound 0.4215 Negative 0.0 Neutral 0.859 Positive 0.141  ","1"],["Fri Sep 30 03:45","Compound -0.128 Negative 0.111 Neutral 0.889 Positive 0.0  ","1"],["Fri Sep 30 03:45","Compound -0.4588 Negative 0.19 Neutral 0.81 Positive 0.0  ","1"],["Fri Sep 30 03:45","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 03:45","Compound 0.2924 Negative 0.0 Neutral 0.873 Positive 0.127  ","1"],["Fri Sep 30 03:46","Compound -0.4588 Negative 0.19 Neutral 0.81 Positive 0.0  ","1"],["Fri Sep 30 03:46","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:46","Compound 0.4767 Negative 0.0 Neutral 0.807 Positive 0.193  ","1"],["Fri Sep 30 03:47","Compound -0.5093 Negative 0.184 Neutral 0.723 Positive 0.092  ","1"],["Fri Sep 30 03:47","Compound -0.5093 Negative 0.201 Neutral 0.699 Positive 0.1  ","1"],["Fri Sep 30 03:47","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 03:48","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 03:49","Compound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  ","1"],["Fri Sep 30 03:49","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 03:49","Compound 0.3182 Negative 0.0 Neutral 0.777 Positive 0.223  ","1"],["Fri Sep 30 03:50","Compound -0.4215 Negative 0.123 Neutral 0.877 Positive 0.0  ","1"],["Fri Sep 30 03:50","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","11"],["Fri Sep 30 03:51","Compound -0.3612 Negative 0.185 Neutral 0.815 Positive 0.0  ","1"],["Fri Sep 30 03:51","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 03:51","Compound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  ","1"],["Fri Sep 30 03:52","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 03:52","Compound 0.4404 Negative 0.0 Neutral 0.707 Positive 0.293  ","1"],["Fri Sep 30 03:52","Compound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  ","1"],["Fri Sep 30 03:54","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:54","Compound 0.34 Negative 0.0 Neutral 0.876 Positive 0.124  ","1"],["Fri Sep 30 03:54","Compound 0.5719 Negative 0.0 Neutral 0.802 Positive 0.198  ","1"],["Fri Sep 30 03:55","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:55","Compound 0.34 Negative 0.0 Neutral 0.888 Positive 0.112  ","1"],["Fri Sep 30 03:55","Compound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  ","2"],["Fri Sep 30 03:55","Compound 0.743 Negative 0.0 Neutral 0.69 Positive 0.31  ","1"],["Fri Sep 30 03:55","Compound 0.8519 Negative 0.0 Neutral 0.671 Positive 0.329  ","1"],["Fri Sep 30 03:56","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 03:57","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:57","Compound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  ","1"],["Fri Sep 30 03:57","Compound 0.4404 Negative 0.0 Neutral 0.888 Positive 0.112  ","1"],["Fri Sep 30 03:57","Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","1"],["Fri Sep 30 03:57","Compound 0.743 Negative 0.0 Neutral 0.741 Positive 0.259  ","1"],["Fri Sep 30 03:58","Compound -0.3804 Negative 0.245 Neutral 0.755 Positive 0.0  ","1"],["Fri Sep 30 03:58","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 03:58","Compound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  ","1"],["Fri Sep 30 03:58","Compound 0.3612 Negative 0.0 Neutral 0.848 Positive 0.152  ","1"],["Fri Sep 30 03:59","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:00","Compound -0.25 Negative 0.153 Neutral 0.764 Positive 0.083  ","1"],["Fri Sep 30 04:00","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:00","Compound 0.4767 Negative 0.0 Neutral 0.785 Positive 0.215  ","1"],["Fri Sep 30 04:01","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:02","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 04:03","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 04:03","Compound 0.5267 Negative 0.0 Neutral 0.726 Positive 0.274  ","1"],["Fri Sep 30 04:04","Compound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  ","1"],["Fri Sep 30 04:04","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:04","Compound 0.2263 Negative 0.0 Neutral 0.899 Positive 0.101  ","1"],["Fri Sep 30 04:05","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 04:05","Compound 0.7346 Negative 0.0 Neutral 0.564 Positive 0.436  ","1"],["Fri Sep 30 04:06","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:06","Compound 0.1779 Negative 0.0 Neutral 0.922 Positive 0.078  ","1"],["Fri Sep 30 04:06","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 04:07","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:07","Compound 0.5256 Negative 0.0 Neutral 0.646 Positive 0.354  ","1"],["Fri Sep 30 04:08","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:08","Compound 0.3818 Negative 0.0 Neutral 0.809 Positive 0.191  ","1"],["Fri Sep 30 04:09","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:09","Compound 0.4404 Negative 0.0 Neutral 0.775 Positive 0.225  ","1"],["Fri Sep 30 04:10","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:10","Compound 0.6486 Negative 0.066 Neutral 0.664 Positive 0.27  ","1"],["Fri Sep 30 04:11","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 04:11","Compound 0.2732 Negative 0.0 Neutral 0.87 Positive 0.13  ","2"],["Fri Sep 30 04:11","Compound 0.4696 Negative 0.0 Neutral 0.787 Positive 0.213  ","1"],["Fri Sep 30 04:12","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 04:12","Compound 0.4926 Negative 0.0 Neutral 0.814 Positive 0.186  ","1"],["Fri Sep 30 04:12","Compound 0.5423 Negative 0.0 Neutral 0.743 Positive 0.257  ","1"],["Fri Sep 30 04:13","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:14","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","8"],["Fri Sep 30 04:14","Compound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  ","2"],["Fri Sep 30 04:15","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 04:15","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 04:15","Compound 0.4926 Negative 0.0 Neutral 0.825 Positive 0.175  ","1"],["Fri Sep 30 04:15","Compound 0.6486 Negative 0.0 Neutral 0.725 Positive 0.275  ","1"],["Fri Sep 30 04:16","Compound -0.7996 Negative 0.245 Neutral 0.755 Positive 0.0  ","1"],["Fri Sep 30 04:16","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:17","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:17","Compound 0.1139 Negative 0.0 Neutral 0.829 Positive 0.171  ","1"],["Fri Sep 30 04:17","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 04:17","Compound 0.863 Negative 0.0 Neutral 0.688 Positive 0.312  ","1"],["Fri Sep 30 04:18","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:18","Compound 0.2023 Negative 0.0 Neutral 0.904 Positive 0.096  ","1"],["Fri Sep 30 04:18","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 04:18","Compound 0.6249 Negative 0.0 Neutral 0.796 Positive 0.204  ","1"],["Fri Sep 30 04:18","Compound 0.6716 Negative 0.063 Neutral 0.669 Positive 0.268  ","1"],["Fri Sep 30 04:19","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:19","Compound 0.296 Negative 0.0 Neutral 0.901 Positive 0.099  ","1"],["Fri Sep 30 04:19","Compound 0.34 Negative 0.0 Neutral 0.87 Positive 0.13  ","1"],["Fri Sep 30 04:20","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:20","Compound 0.128 Negative 0.0 Neutral 0.667 Positive 0.333  ","1"],["Fri Sep 30 04:20","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","2"],["Fri Sep 30 04:20","Compound 0.3818 Negative 0.0 Neutral 0.822 Positive 0.178  ","1"],["Fri Sep 30 04:20","Compound 0.4019 Negative 0.0 Neutral 0.769 Positive 0.231  ","1"],["Fri Sep 30 04:20","Compound 0.6249 Negative 0.0 Neutral 0.728 Positive 0.272  ","1"],["Fri Sep 30 04:21","Compound -0.0516 Negative 0.091 Neutral 0.909 Positive 0.0  ","1"],["Fri Sep 30 04:21","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:21","Compound 0.5574 Negative 0.081 Neutral 0.704 Positive 0.215  ","1"],["Fri Sep 30 04:22","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:22","Compound 0.128 Negative 0.0 Neutral 0.737 Positive 0.263  ","1"],["Fri Sep 30 04:22","Compound 0.3736 Negative 0.0 Neutral 0.891 Positive 0.109  ","1"],["Fri Sep 30 04:22","Compound 0.4067 Negative 0.0 Neutral 0.855 Positive 0.145  ","1"],["Fri Sep 30 04:22","Compound 0.5764 Negative 0.0 Neutral 0.801 Positive 0.199  ","1"],["Fri Sep 30 04:23","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:23","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 04:23","Compound 0.3818 Negative 0.0 Neutral 0.86 Positive 0.14  ","1"],["Fri Sep 30 04:23","Compound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  ","1"],["Fri Sep 30 04:24","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 04:24","Compound 0.4215 Negative 0.0 Neutral 0.843 Positive 0.157  ","1"],["Fri Sep 30 04:24","Compound 0.5411 Negative 0.0 Neutral 0.728 Positive 0.272  ","1"],["Fri Sep 30 04:24","Compound 0.6597 Negative 0.0 Neutral 0.748 Positive 0.252  ","1"],["Fri Sep 30 04:25","Compound 0.6249 Negative 0.0 Neutral 0.806 Positive 0.194  ","1"],["Fri Sep 30 04:26","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","8"],["Fri Sep 30 04:26","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:27","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 04:27","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","3"],["Fri Sep 30 04:27","Compound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  ","1"],["Fri Sep 30 04:27","Compound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  ","1"],["Fri Sep 30 04:28","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:28","Compound 0.2924 Negative 0.0 Neutral 0.873 Positive 0.127  ","1"],["Fri Sep 30 04:28","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","2"],["Fri Sep 30 04:28","Compound 0.4696 Negative 0.0 Neutral 0.787 Positive 0.213  ","1"],["Fri Sep 30 04:29","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 04:30","Compound -0.3612 Negative 0.2 Neutral 0.8 Positive 0.0  ","1"],["Fri Sep 30 04:30","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 04:30","Compound 0.0772 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 04:31","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:31","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 04:31","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","2"],["Fri Sep 30 04:31","Compound 0.3182 Negative 0.0 Neutral 0.85 Positive 0.15  ","1"],["Fri Sep 30 04:31","Compound 0.3818 Negative 0.0 Neutral 0.698 Positive 0.302  ","1"],["Fri Sep 30 04:31","Compound 0.5255 Negative 0.085 Neutral 0.732 Positive 0.183  ","1"],["Fri Sep 30 04:32","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:32","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:32","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 04:32","Compound 0.34 Negative 0.0 Neutral 0.854 Positive 0.146  ","1"],["Fri Sep 30 04:32","Compound 0.5267 Negative 0.0 Neutral 0.764 Positive 0.236  ","1"],["Fri Sep 30 04:33","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:33","Compound 0.296 Negative 0.0 Neutral 0.885 Positive 0.115  ","1"],["Fri Sep 30 04:34","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:34","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","3"],["Fri Sep 30 04:34","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 04:35","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:35","Compound 0.2924 Negative 0.0 Neutral 0.873 Positive 0.127  ","1"],["Fri Sep 30 04:35","Compound 0.4404 Negative 0.0 Neutral 0.818 Positive 0.182  ","1"],["Fri Sep 30 04:36","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 04:36","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","2"],["Fri Sep 30 04:36","Compound 0.7845 Negative 0.0 Neutral 0.655 Positive 0.345  ","1"],["Fri Sep 30 04:37","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 04:37","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:38","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 04:38","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","2"],["Fri Sep 30 04:38","Compound 0.5411 Negative 0.0 Neutral 0.632 Positive 0.368  ","1"],["Fri Sep 30 04:38","Compound 0.6369 Negative 0.0 Neutral 0.682 Positive 0.318  ","1"],["Fri Sep 30 04:39","Compound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  ","1"],["Fri Sep 30 04:39","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 04:39","Compound 0.2869 Negative 0.0 Neutral 0.866 Positive 0.134  ","1"],["Fri Sep 30 04:39","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:39","Compound 0.3182 Negative 0.0 Neutral 0.827 Positive 0.173  ","1"],["Fri Sep 30 04:39","Compound 0.6124 Negative 0.0 Neutral 0.643 Positive 0.357  ","1"],["Fri Sep 30 04:40","Compound -0.1179 Negative 0.141 Neutral 0.739 Positive 0.12  ","1"],["Fri Sep 30 04:40","Compound -0.2732 Negative 0.117 Neutral 0.81 Positive 0.073  ","1"],["Fri Sep 30 04:40","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:40","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","2"],["Fri Sep 30 04:40","Compound 0.4767 Negative 0.0 Neutral 0.795 Positive 0.205  ","1"],["Fri Sep 30 04:40","Compound 0.4939 Negative 0.0 Neutral 0.802 Positive 0.198  ","1"],["Fri Sep 30 04:40","Compound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  ","1"],["Fri Sep 30 04:41","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:41","Compound 0.2023 Negative 0.0 Neutral 0.904 Positive 0.096  ","1"],["Fri Sep 30 04:41","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","2"],["Fri Sep 30 04:41","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 04:41","Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","1"],["Fri Sep 30 04:41","Compound 0.5859 Negative 0.0 Neutral 0.703 Positive 0.297  ","1"],["Fri Sep 30 04:41","Compound 0.5859 Negative 0.0 Neutral 0.743 Positive 0.257  ","2"],["Fri Sep 30 04:42","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:42","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","3"],["Fri Sep 30 04:43","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:44","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 04:44","Compound 0.34 Negative 0.0 Neutral 0.882 Positive 0.118  ","1"],["Fri Sep 30 04:45","Compound -0.4479 Negative 0.197 Neutral 0.803 Positive 0.0  ","1"],["Fri Sep 30 04:45","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 04:45","Compound 0.2023 Negative 0.0 Neutral 0.904 Positive 0.096  ","1"],["Fri Sep 30 04:45","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","2"],["Fri Sep 30 04:45","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 04:45","Compound 0.5362 Negative 0.0 Neutral 0.758 Positive 0.242  ","1"],["Fri Sep 30 04:45","Compound 0.5632 Negative 0.0 Neutral 0.775 Positive 0.225  ","1"],["Fri Sep 30 04:46","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:46","Compound 0.7096 Negative 0.0 Neutral 0.576 Positive 0.424  ","1"],["Fri Sep 30 04:46","Compound 0.7096 Negative 0.0 Neutral 0.629 Positive 0.371  ","2"],["Fri Sep 30 04:46","Compound 0.8221 Negative 0.0 Neutral 0.592 Positive 0.408  ","1"],["Fri Sep 30 04:47","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 04:47","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 04:47","Compound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  ","1"],["Fri Sep 30 04:48","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:48","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:49","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 04:49","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","2"],["Fri Sep 30 04:49","Compound 0.4767 Negative 0.0 Neutral 0.838 Positive 0.162  ","1"],["Fri Sep 30 04:50","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 04:50","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:51","Compound -0.6808 Negative 0.248 Neutral 0.752 Positive 0.0  ","1"],["Fri Sep 30 04:51","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","8"],["Fri Sep 30 04:51","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:51","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 04:52","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 04:52","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:52","Compound 0.7096 Negative 0.0 Neutral 0.629 Positive 0.371  ","1"],["Fri Sep 30 04:53","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 04:53","Compound 0.5764 Negative 0.0 Neutral 0.82 Positive 0.18  ","1"],["Fri Sep 30 04:54","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","6"],["Fri Sep 30 04:54","Compound 0.2869 Negative 0.0 Neutral 0.866 Positive 0.134  ","1"],["Fri Sep 30 04:54","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 04:55","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","7"],["Fri Sep 30 04:55","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:55","Compound 0.3182 Negative 0.0 Neutral 0.859 Positive 0.141  ","1"],["Fri Sep 30 04:55","Compound 0.3182 Negative 0.0 Neutral 0.897 Positive 0.103  ","1"],["Fri Sep 30 04:55","Compound 0.5267 Negative 0.0 Neutral 0.825 Positive 0.175  ","1"],["Fri Sep 30 04:55","Compound 0.5859 Negative 0.0 Neutral 0.725 Positive 0.275  ","1"],["Fri Sep 30 04:55","Compound 0.8519 Negative 0.0 Neutral 0.583 Positive 0.417  ","1"],["Fri Sep 30 04:56","Compound -0.34 Negative 0.118 Neutral 0.882 Positive 0.0  ","1"],["Fri Sep 30 04:56","Compound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  ","1"],["Fri Sep 30 04:56","Compound -0.5106 Negative 0.462 Neutral 0.538 Positive 0.0  ","1"],["Fri Sep 30 04:56","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 04:57","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 04:58","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:59","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 04:59","Compound 0.296 Negative 0.0 Neutral 0.784 Positive 0.216  ","1"],["Fri Sep 30 04:59","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 04:59","Compound 0.4843 Negative 0.0 Neutral 0.772 Positive 0.228  ","1"],["Fri Sep 30 04:59","Compound 0.5859 Negative 0.0 Neutral 0.759 Positive 0.241  ","1"],["Fri Sep 30 05:00","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 05:00","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 05:01","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 05:01","Compound 0.4843 Negative 0.0 Neutral 0.784 Positive 0.216  ","1"],["Fri Sep 30 05:02","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 05:02","Compound 0.3182 Negative 0.0 Neutral 0.867 Positive 0.133  ","1"],["Fri Sep 30 05:03","Compound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  ","1"],["Fri Sep 30 05:03","Compound -0.4588 Negative 0.176 Neutral 0.824 Positive 0.0  ","1"],["Fri Sep 30 05:03","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 05:03","Compound 0.4926 Negative 0.0 Neutral 0.775 Positive 0.225  ","1"],["Fri Sep 30 05:04","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 05:05","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 05:06","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 05:06","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 05:07","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 05:07","Compound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  ","1"],["Fri Sep 30 05:08","Compound -0.3818 Negative 0.126 Neutral 0.874 Positive 0.0  ","1"],["Fri Sep 30 05:08","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 05:08","Compound 0.296 Negative 0.0 Neutral 0.909 Positive 0.091  ","1"],["Fri Sep 30 05:09","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 05:10","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","11"],["Fri Sep 30 05:10","Compound 0.4019 Negative 0.0 Neutral 0.876 Positive 0.124  ","1"],["Fri Sep 30 05:10","Compound 0.7425 Negative 0.0 Neutral 0.488 Positive 0.512  ","1"],["Fri Sep 30 05:11","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 05:12","Compound 0.0 Negative 0.127 Neutral 0.746 Positive 0.127  ","1"],["Fri Sep 30 05:12","Compound 0.4767 Negative 0.0 Neutral 0.745 Positive 0.255  ","1"],["Fri Sep 30 05:13","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","4"],["Fri Sep 30 05:13","Compound 0.5106 Negative 0.0 Neutral 0.837 Positive 0.163  ","1"],["Fri Sep 30 05:14","Compound -0.4173 Negative 0.14 Neutral 0.86 Positive 0.0  ","2"],["Fri Sep 30 05:14","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","3"],["Fri Sep 30 05:14","Compound 0.6696 Negative 0.0 Neutral 0.757 Positive 0.243  ","1"],["Fri Sep 30 05:15","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 05:16","Compound -0.128 Negative 0.13 Neutral 0.87 Positive 0.0  ","1"],["Fri Sep 30 05:16","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 05:16","Compound 0.3595 Negative 0.0 Neutral 0.884 Positive 0.116  ","1"],["Fri Sep 30 05:17","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 05:17","Compound 0.7351 Negative 0.0 Neutral 0.617 Positive 0.383  ","1"],["Fri Sep 30 05:17","Compound 0.7351 Negative 0.0 Neutral 0.659 Positive 0.341  ","1"],["Fri Sep 30 05:17","Compound 0.743 Negative 0.0 Neutral 0.741 Positive 0.259  ","4"],["Fri Sep 30 05:18","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 05:18","Compound 0.2023 Negative 0.0 Neutral 0.878 Positive 0.122  ","1"],["Fri Sep 30 05:18","Compound 0.4926 Negative 0.0 Neutral 0.803 Positive 0.197  ","1"],["Fri Sep 30 05:19","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","2"],["Fri Sep 30 05:20","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","1"],["Fri Sep 30 05:20","Compound 0.4871 Negative 0.074 Neutral 0.738 Positive 0.188  ","1"],["Fri Sep 30 05:20","Compound 0.6249 Negative 0.0 Neutral 0.773 Positive 0.227  ","1"],["Fri Sep 30 05:21","Compound 0.0 Negative 0.0 Neutral 1.0 Positive 0.0  ","5"],["Fri Sep 30 05:21","Compound 0.4098 Negative 0.076 Neutral 0.755 Positive 0.169  ","1"]]},"dateCreated":"2016-09-29T14:43:18+0000","dateStarted":"2016-09-30T17:21:26+0000","dateFinished":"2016-09-30T17:21:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:305"},{"text":"","dateUpdated":"2016-09-30T22:33:26+0000","config":{"colWidth":12,"editorMode":"ace/mode/scala","tableHide":true,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475156839048_1379995465","id":"20160927-022555_249704869","result":{"code":"ERROR","type":"TEXT","msg":"import org.apache.phoenix.spark._\ngson: com.google.gson.Gson = {serializeNulls:falsefactories:[Factory[type=java.lang.String,adapter=com.google.gson.internal.bind.TypeAdapters$13@42865075], Factory[type=java.lang.Integer+int,adapter=com.google.gson.internal.bind.TypeAdapters$7@332a7b04], Factory[type=java.lang.Boolean+boolean,adapter=com.google.gson.internal.bind.TypeAdapters$3@3d94036], Factory[type=java.lang.Byte+byte,adapter=com.google.gson.internal.bind.TypeAdapters$5@4de75cf8], Factory[type=java.lang.Short+short,adapter=com.google.gson.internal.bind.TypeAdapters$6@3d92a8c9], Factory[type=java.lang.Long+long,adapter=com.google.gson.internal.bind.TypeAdapters$8@5d800624], Factory[type=java.lang.Double+double,adapter=com.google.gson.Gson$4@5683feb7], Factory[type=java.lang.Float+float,adapter=com.google.gson.Gson$5@7f...org.apache.spark.sql.AnalysisException: Table not found: dronedata1; line 1 pos 68\n\tat org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)\n\tat org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.getTable(Analyzer.scala:305)\n\tat org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:314)\n\tat org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:309)\n\tat org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)\n\tat org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)\n\tat org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)\n\tat org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:56)\n\tat org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:54)\n\tat org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:54)\n\tat org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:281)\n\tat scala.collection.Iterator$$anon$11.next(Iterator.scala:328)\n\tat scala.collection.Iterator$class.foreach(Iterator.scala:727)\n\tat scala.collection.AbstractIterator.foreach(Iterator.scala:1157)\n\tat scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)\n\tat scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)\n\tat scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)\n\tat scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)\n\tat scala.collection.AbstractIterator.to(Iterator.scala:1157)\n\tat scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)\n\tat scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)\n\tat scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)\n\tat scala.collection.AbstractIterator.toArray(Iterator.scala:1157)\n\tat org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321)\n\tat org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:54)\n\tat org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:309)\n\tat org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:299)\n\tat org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:83)\n\tat org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:80)\n\tat scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111)\n\tat scala.collection.immutable.List.foldLeft(List.scala:84)\n\tat org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:80)\n\tat org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:72)\n\tat scala.collection.immutable.List.foreach(List.scala:318)\n\tat org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:72)\n\tat org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:36)\n\tat org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:36)\n\tat org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34)\n\tat org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133)\n\tat org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)\n\tat org.apache.spark.sql.SQLContext.sql(SQLContext.scala:817)\n\tat $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:33)\n\tat $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:48)\n\tat $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:50)\n\tat $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:52)\n\tat $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:54)\n\tat $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:56)\n\tat $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:58)\n\tat $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:60)\n\tat $iwC$$iwC$$iwC$$iwC.<init>(<console>:62)\n\tat $iwC$$iwC$$iwC.<init>(<console>:64)\n\tat $iwC$$iwC.<init>(<console>:66)\n\tat $iwC.<init>(<console>:68)\n\tat <init>(<console>:70)\n\tat .<init>(<console>:74)\n\tat .<clinit>(<console>)\n\tat .<init>(<console>:7)\n\tat .<clinit>(<console>)\n\tat $print(<console>)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:498)\n\tat org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)\n\tat org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)\n\tat org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)\n\tat org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)\n\tat org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)\n\tat sun.reflect.GeneratedMethodAccessor94.invoke(Unknown Source)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:498)\n\tat org.apache.zeppelin.spark.Utils.invokeMethod(Utils.java:38)\n\tat org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:717)\n\tat org.apache.zeppelin.spark.SparkInterpreter.interpretInput(SparkInterpreter.java:928)\n\tat org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:871)\n\tat org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:864)\n\tat org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:94)\n\tat org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:341)\n\tat org.apache.zeppelin.scheduler.Job.run(Job.java:176)\n\tat org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:139)\n\tat java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)\n\tat java.util.concurrent.FutureTask.run(FutureTask.java:266)\n\tat java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)\n\tat java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)\n\tat java.lang.Thread.run(Thread.java:745)\n\n"},"dateCreated":"2016-09-29T13:47:19+0000","status":"READY","errorMessage":"","progressUpdateIntervalMs":500,"$$hashKey":"object:306"},{"text":"","dateUpdated":"2016-09-30T22:33:26+0000","config":{"colWidth":12,"editorMode":"ace/mode/scala","tableHide":true,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475156839048_1379995465","id":"20160927-023400_1994887723","result":{"code":"ERROR","type":"TEXT","msg":"<console>:73: error: not found: value bubblesJson\nmap.bubbles(${bubblesJson}, {\n              ^\n"},"dateCreated":"2016-09-29T13:47:19+0000","status":"READY","errorMessage":"","progressUpdateIntervalMs":500,"$$hashKey":"object:307"},{"dateUpdated":"2016-09-29T13:47:19+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475156839048_1379995465","id":"20160927-023653_1241400667","dateCreated":"2016-09-29T13:47:19+0000","status":"READY","errorMessage":"","progressUpdateIntervalMs":500,"$$hashKey":"object:308"},{"dateUpdated":"2016-09-29T13:47:19+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1475156839049_1379610716","id":"20160928-193718_1349107375","dateCreated":"2016-09-29T13:47:19+0000","status":"READY","errorMessage":"","progressUpdateIntervalMs":500,"$$hashKey":"object:309"}],"name":"Twitter From Strata Hadoop Processing","id":"2BVWNYYD5","angularObjects":{"2BW85RF4Y:shared_process":[],"2BV9V7QPV:shared_process":[],"2BXX71S71:shared_process":[],"2BY8JNE97:shared_process":[],"2BX4V35VP:shared_process":[],"2BXTQC4KZ:shared_process":[]},"config":{"looknfeel":"default"},"info":{}}