Enhancing event descriptions through Twitter mining

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 Copyright © 2012, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.