TwitSoccer: knowledge-based crowd-sourcing of live soccer events

Nowadays, fans post status updates on social media that describe and express their opinion about live sports events. By doing this, they not only comment on the game but also provide information about the current state of play. In this paper we present TwitSoccer, a real-time live soccer score ticker crowd-sourced from tweets. TwitSoccer combines a pattern-based approach, to process the tweets, with a soccer knowledge-database. This allows to detect reoccurring events, such as goals or red cards, more precisely and ensures that these events are assigned to the right teams. The results of our evaluation for 42 soccer matches of the German Bundesliga, show that TwitSoccer automatically detects soccer events reliably with a recall value of 94% for goals and 71% for red cards which resembles a major enhancement over existing work.