Following the seminal work by Ely, Frankel and Kamencia (2015, Journal of Political Economy), we evaluate sentiment in tweets with natural language processing (NLP) tools in order to better understand the subjective evaluations by fans of surprise and suspense elements in football games.

Research Line: Sports Consumer Behavior

Funding / Support:  #DataGrantsscheme by Twitter, Research Grant by the School of Business, Economics and Informatics (Birbeck University of London).

Principal Investigators: Dooruj Rambaccussing (University of Dundee), James Reade (University of Reading), Giambattista Rossi (Birkbeck University of London), Tim Pawlowski (University of Tübingen)