Concept indexing for automated text categorization

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dc.contributor.authorGómez Hidalgo, José María
dc.contributor.authorCortizo Pérez, José Carlos
dc.contributor.authorPuertas Sanz, Enrique
dc.contributor.authorRuiz, Miguel Enrique
dc.date.accessioned2016-08-24T12:47:00Z
dc.date.available2016-08-24T12:47:00Z
dc.date.issued2004
dc.description.abstractIn this paper we explore the potential of concept indexing with WordNet synsets for Text Categorization, in comparison with the traditional bag of words text representation model. We have performed a series of experiments in which we also test the possibility of using simple yet robust disambiguation methods for concept indexing, and the effectiveness of stoplist-filtering and stemming on the SemCor semantic concordance. Results are not conclusive yet promising.spa
dc.description.filiationUEMspa
dc.description.impact0.251 JCR (2004) Q4, 70/78 Computer science, artificial intelligencespa
dc.description.sponsorshipSin financiaciónspa
dc.identifier.citationGómez, J. M., Cortizo, J. C., Puertas, E., & Ruiz, M. (2004). Concept indexing for automated text categorization. Lecture Notes in Computer Science, 3136, 195-206.spa
dc.identifier.doi10.1007/978-3-540-27779-8_17
dc.identifier.issn03029743
dc.identifier.urihttp://hdl.handle.net/11268/5668
dc.language.isoengspa
dc.peerreviewedSispa
dc.rights.accessRightsrestricted accessen
dc.subject.uemIndizaciónspa
dc.subject.uemLenguajes de ordenadorspa
dc.subject.unescoLenguajes controladosspa
dc.subject.unescoLenguaje de programaciónspa
dc.titleConcept indexing for automated text categorizationspa
dc.typejournal articlespa
dspace.entity.typePublication
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relation.isAuthorOfPublicatione1ae5b27-3248-41df-ac24-a38ed621e0f9
relation.isAuthorOfPublication001b7f40-b837-4929-82ca-df26041a995a
relation.isAuthorOfPublication.latestForDiscovery76a395e8-090d-4187-9a3c-420063e1f44f

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