GOAALLL!: Using sentiment in the world cup to explore theories of emotion

作者：

Highlights：

• Computational tools provide new ways to examine dynamic emotional processes.

• We report preliminary analysis of a World Cup twitter corpus using sentiment analysis.

• Contrary to assumptions in sports economics, excitement relates to negative emotion.

• We discuss challenges for existing sentiment analysis techniques and future analysis

摘要

•Computational tools provide new ways to examine dynamic emotional processes.•We report preliminary analysis of a World Cup twitter corpus using sentiment analysis.•Contrary to assumptions in sports economics, excitement relates to negative emotion.•We discuss challenges for existing sentiment analysis techniques and future analysis

论文关键词：Sentiment,Sentiment analysis,Sport,Emotion models,Twitter

论文评审过程：Received 6 May 2016, Revised 9 January 2017, Accepted 10 January 2017, Available online 31 January 2017, Version of Record 18 September 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2017.01.006