Predicting wins and spread in the Premier League using a sentiment analysis of twitter
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- 作者：Robert P. Schumakera ; rob.schumaker@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; A. Tomasz Jarmoszkob ; jarmoszko@ccsu.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Chester S. Labedz Jr.c ; clabedz@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Business intelligence ; Sentiment analysis ; Twitter ; Sports analytics ; English Premier League ; Crowdsourcing
- 刊名：Decision Support Systems
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：88
- 期：Complete
- 页码：76-84
- 全文大小：542 K
文摘
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Gathered soccer tweet sentiment to predict outcomes and wagering decisions
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Had higher payout returns ($2704.63) but lower accuracy
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Leveraging a surge over average netted $3011.20 by identifying longshot opportunity
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As magnitude of sentiment increased so did the point spread, 0.42 goal difference