Towards Open Domain Event Extraction from Twitter: REVEALing Entity Relations

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Conference Proceedings (fully refereed)
G. Katsios, S. Vakulenko, A. Krithara, G. Paliouras
In the past years social media services received content contributions from millions of users, making them a fruitful source for data analysis. In this paper we present a novel approach for mining Twitter data in order to extract factual information concerning trending events. Our approach is based on relation extraction between named entities, such as people, organizations and locations. The experiments and the obtained results suggest that relation extraction can help in extracting events in social media, when combined with pre and post-processing steps. Keywords: Event extraction, social media analysis, relation extraction, Twitter
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
DeRiVE 2015
Conference Full Name: 
4th International Workshop on Detection, Representation and Exploitation of Events in the Semantic Web
Conference Country: 
Conference City: 
Conference Date(s): 
Sun, 31/05/2015 - Thu, 04/06/2015
Conference Level: 
DeRiVE 2015

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