Predicting the Brexit Vote by tracking and classifying public opinion using Twitter data
We use 23M Tweets related to the EU referendum in the UK to predict the Brexit vote. In particular, we use user-generated labels known as hashtags to build training sets related to the Leave/Remain campaign. Next, we train SVMs in order to classify Tweets. Finally, we compare our results to Internet...
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| Main Authors: | , , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2017
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| 在線閱讀: | https://ink.library.smu.edu.sg/soss_research/3991 https://ink.library.smu.edu.sg/context/soss_research/article/5249/viewcontent/BrexitVote_2017_pv.pdf |
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| 機構: | Singapore Management University |
| 語言: | English |