Building timelines of soccer matches from Twitter
Université Côte d’Azur Inria, CNRS, I3S, France, Amosse Edouard, Elena Cabrio, Université Côte d’Azur Inria, CNRS, I3S, France, Sara Tonelli, Fondazione Bruno Kessler, Trento, Italia, Nhan Le-Thanh, Université Côte d’Azur Inria, CNRS, I3S, France · 2017
This demo paper presents a system that builds a timeline with salient actions of a soccer game, based on the tweets posted by users.It combines information provided by external knowledge bases to enrich the content of tweets and applies graph theory to model relations between actions (e.g.goals, penalties) and participants of a game (e.g.players, teams).In the demo, a web application displays in nearly real-time the actions detected from tweets posted by users for a given match of Euro 2016.