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From: Zubair Khan To: "jeffrey E." <[email protected]> Subject: Re: Meeting (Ref: Maria) Date: Wed, 17 Aug 2016 20:00:50 +0000 Attachments: Insightspod_Proposal.pdf Hi Jeffrey, Hope you are well. Over the last few weeks we have added new features in InsightsPod. We now gather data from Facebook and YouTube along with Twitter. We have also improved the sentiment analysis system. The new system will go live later today. Please find attached the investment proposal for your consideration. I am currently in LA and will be in California until 24th August. Let me know if you have any queries or would like to discuss the proposal in person. Looking forward to work with you and learn from your vast experience. Cheers Zubair On Jun 26, 2016, at 4:07 PM, jeffrey E. <[email protected]> wrote: I would like to see the raw data or as much as you can proveide On Sun, Jun 26, 2016 at 6:45 PM, Zubair Khan Hi Jeffrey, Hope my email finds you well. wrote: As you already know, the opinion polls that the public and rest of the world so heavily relied upon regarding Brexit proved to be wrong. I took your advice and used my sentiment analysis and opinion mining system to predict the outcome of this major political event so that we can help investors make sound investment decisions. We analyzed opinions, sentiments and emotions of people on twitter. We conducted sentiment analysis of more than half a million tweets before referendum day. 51% tweets supported leaving EU and only 27% tweeted about remaining. Out of 327K tweets collected on day of referendum, 167K showed support for Brexit, 103K tweets were about people showing their support to remain in the EU and remaining tweets were neutral. Based on the aforementioned data, we made an accurate prediction that the UK would be leaving the EU. The sample data size of YouGov and other popular market research companies was very less as compared to us. I think social media is a key element of the changing

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Independent research project. Not affiliated with the U.S. Department of Justice, FBI, any government agency, or Anthropic. All analytical text on this site is AI-generated (Claude, Anthropic) and iteratively fact-checked against source documents, but may contain errors. Verify all claims against linked EFTA sources before citing.
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