World Cup 2014 in the Twitter World: A big data analysis of sentiments in U.S. sports fans’ tweets

The present project collected real-time tweets from U.S. soccer fans during five 2014 FIFA World Cup games (three games between the U.S. team and another opponent and two games between other teams) using Twitter search API. We used sentiment analysis to examine U.S. soccer fans’ emotional responses in their tweets, particularly, the emotional changes after goals (either own or the opponent’s). We found that during the matches that the U.S. team...