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dc.contributor.authorSilva, Jesús
dc.contributor.authorMaria Santodomingo, Nicolas Elias
dc.contributor.authorRomero, Ligia
dc.contributor.authorJorge, Marisol
dc.contributor.authorHerrera, Maritza
dc.contributor.authorPineda Lezama, Omar Bonerge
dc.contributor.authorJavier Echeverry, Francisco
dc.description.abstractThe aim of this paper is to compile dictionaries of slang words, abbreviations, contractions and emoticons to help the preprocessing 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.publisherCorporación Universidad de la Costaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.sourceAdvances in Intelligent Systems and Computingspa
dc.subjectSocial networksspa
dc.subjectAuthor profilingspa
dc.subjectText classificationspa
dc.titleClassification of academic events from their textual descriptionspa
dc.typeArtículo de revistaspa
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    Artículos de investigación publicados por miembros de la comunidad universitaria.

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Attribution-NonCommercial-NoDerivatives 4.0 International
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