Predicting wins and spread in the Premier League using a sentiment analysis of twitter

作者：

Highlights：

• Gathered soccer tweet sentiment to predict outcomes and wagering decisions

• Had higher payout returns ($2704.63) but lower accuracy

• Leveraging a surge over average netted $3011.20 by identifying longshot opportunity

• As magnitude of sentiment increased so did the point spread, 0.42 goal difference

摘要

Can the sentiment contained in tweets serve as a meaningful proxy to predict match outcomes and if so, can the magnitude of outcomes be predicted based on a degree of sentiment?

论文关键词：Business intelligence,Sentiment analysis,Twitter,Sports analytics,English Premier League,Crowdsourcing

论文评审过程：Received 11 January 2016, Revised 30 May 2016, Accepted 31 May 2016, Available online 8 June 2016, Version of Record 1 July 2016.

论文官网地址：https://doi.org/10.1016/j.dss.2016.05.010