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Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media Enhancing Event Descriptions through Twitter Mining

By Hristo Tanev, Maud Ehrmann, Jakub Piskorski and Vanni Zavarella

Abstract

We describe a simple IR approach for linking news about events, detected by an event extraction system, to messages from Twitter (tweets). 1 In particular, we explore several methods for creating event-specific queries for Twitter and provide a quantitative and qualitative evaluation of the relevance and usefulness of the information obtained from the tweets. We showed that methods based on utilization of word co-occurrence clustering, domain-specific keywords and named entity recognition improve the performance with respect to a basic approach

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.309.4771
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