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dc.contributor.authorSilva, Jesússpa
dc.contributor.authorMaria Santodomingo, Nicolas Eliasspa
dc.contributor.authorRomero, Ligiaspa
dc.contributor.authorJorge, Marisolspa
dc.contributor.authorHerrera, Maritzaspa
dc.contributor.authorPineda Lezama, Omar Bonergespa
dc.date.accessioned2021-01-18T17:34:30Z
dc.date.available2021-01-18T17:34:30Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/11323/7706spa
dc.description.abstractThe aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to improve the results of the tasks related to data obtained from these platforms. Therefore, a hypothesis was evaluated in the task of identifying author profiles (author profiling).spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.sourceAdvances in Intelligent Systems and Computingspa
dc.subjectLexiconspa
dc.subjectSocial networksspa
dc.subjectAuthor profilingspa
dc.subjectText classificationspa
dc.titleIdentification of author profiles through social networksspa
dc.typeArtículo de revistaspa
dc.source.urlhttps://link.springer.com/chapter/10.1007/978-981-15-7234-0_84spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1007/978-981-15-7234-0_84spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


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