<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-16T19:42:04Z</responseDate><request verb="GetRecord" identifier="oai:gredos.usal.es:10366/128126" metadataPrefix="qdc">https://gredos.usal.es/oai/request</request><GetRecord><record><header><identifier>oai:gredos.usal.es:10366/128126</identifier><datestamp>2022-02-07T15:56:51Z</datestamp><setSpec>com_10366_4635</setSpec><setSpec>com_10366_4576</setSpec><setSpec>com_10366_3823</setSpec><setSpec>col_10366_4636</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
<dc:title>REINA at RepLab2013 Topic Detection Task: Community Detection</dc:title>
<dc:creator>Alonso Berrocal, José Luis</dc:creator>
<dc:creator>Figuerola, Carlos G.</dc:creator>
<dc:creator>Zazo Rodríguez, Ángel Francisco</dc:creator>
<dc:subject>Detección de materias</dc:subject>
<dc:subject>Detección de comunidades</dc:subject>
<dcterms: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.</dcterms:abstract>
<dcterms:dateAccepted>2016-05-03T10:13:05Z</dcterms:dateAccepted>
<dcterms:available>2016-05-03T10:13:05Z</dcterms:available>
<dcterms:created>2016-05-03T10:13:05Z</dcterms:created>
<dcterms:issued>2013-09-23</dcterms:issued>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>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.</dc:identifier>
<dc:identifier>http://hdl.handle.net/10366/128126</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights>https://creativecommons.org/licenses/by-nc-nd/3.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Unported</dc:rights>
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