World Cup 2014 in the Twitter World: A big data analysis of sentiments in U.S. sports fans’ tweets
作者：
Highlights：
• We used a big data approach to analyze U.S. soccer fans’ sentiments in their tweets.
• Tweets were used to express joy and anticipation and to express emotions.
• U.S. fans’ fear and anger were common and reflected U.S. team’s goals or losses.
• Emotions in two non-U.S. games were unclear.
• This paper provides support for disposition theory of sport and sentiment analysis.
摘要
•We used a big data approach to analyze U.S. soccer fans’ sentiments in their tweets.•Tweets were used to express joy and anticipation and to express emotions.•U.S. fans’ fear and anger were common and reflected U.S. team’s goals or losses.•Emotions in two non-U.S. games were unclear.•This paper provides support for disposition theory of sport and sentiment analysis.
论文关键词：Sports games,FIFA World Cup,Audience emotional reactions,Twitter,Big data,Sentiment analysis
论文评审过程：Available online 20 February 2015.
论文官网地址：https://doi.org/10.1016/j.chb.2015.01.075
