2014 FIFA World Cup: An Initial Analysis of Collective Sentiments in Twitter

Abstract

Social analysis in Twitter has become a very interesting research scenario. Twitter's popularity and the millions of spontaneous interactions between its users turned the social network into a rich data source. A possible use of this data is to measure collective sentiments related to events. In this short paper, we propose an analysis of the content shared in Twitter during the event 2014 FIFA World Cup Brazil TM. The sentiment classifier utilized in this work is the SentiStrength tool. The steps of this works are Composing the corpus, Preprocessing, Classification and Temporal Analysis. Finally, we propose some preliminary results that indicates the distribution of sentiments across the corpus.