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dc.contributor.author | Alonso Berrocal, José Luis | |
dc.contributor.author | García de Figuerola Paniagua, Luis Carlos | |
dc.contributor.author | Zazo Rodríguez, Ángel Francisco | |
dc.date.accessioned | 2016-05-03T10:13:05Z | |
dc.date.available | 2016-05-03T10:13:05Z | |
dc.date.issued | 2013-09-23 | |
dc.identifier.citation | Alonso Berrocal, J. L., Figuerola, C. G. and Zazo Rodríguez, Á. F. (2013). REINA at RepLab2013 Topic Detection Task: Community Detection. In Pamela Forner, Roberto Navigli and Dan Tufis (eds.). Working Notes for the CLEF 2013 Evaluation Labs and Workshop, Valencia, 23-26 September, 2013. | es_ES |
dc.identifier.uri | http://hdl.handle.net/10366/128126 | |
dc.description.abstract | [EN]Social networks have become a large repository of comments which can extract multiple information. Twitter is one of the most widespread social networks and larger and is therefore an important source for detecting states of opinion, events and happenings before even the mainstream media. Topic detection is important to discover areas of interest that arise in the tweets. We have used classical systems for a similarity matrix and we have used community detection techniques. The results have been good and allows us to study new possibilities. | es_ES |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ | |
dc.subject | Detección de materias | es_ES |
dc.subject | Detección de comunidades | es_ES |
dc.title | REINA at RepLab2013 Topic Detection Task: Community Detection | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess |
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