Enhancing Event Descriptions through Twitter Mining
DOI:
https://doi.org/10.1609/icwsm.v6i1.14311Keywords:
twitter, event extraction, information extraction, media monitoring, information retrievalAbstract
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.
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Published
2021-08-03
How to Cite
Tanev, H., Ehrmann, M., Piskorski, J., & Zavarella, V. (2021). Enhancing Event Descriptions through Twitter Mining. Proceedings of the International AAAI Conference on Web and Social Media, 6(1), 587-590. https://doi.org/10.1609/icwsm.v6i1.14311
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Section
Poster Papers