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Enhancing Event Descriptions through Twitter Mining.

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Conference Paper
Last modified: 
Fri, 14/09/2012 - 16:32

Authors: H. Tanev, M. Ehrmann, J. Piskorski, V. Zavarella.

 

We describe a simple IR approach for linking news about events, detected by an event extraction system, to messages from Twitter (tweets). 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 .

 

Conference paper in the Proceedings of 6th International AAAI Conference on Weblogs and Social Media , Dublin, Ireland, 2012.

 

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