dc.creatorSilva, Jesús
dc.creatorHernandez Palma, Hugo Gaspar
dc.creatorNiebles Núñez, William
dc.creatorRuiz Lázaro, Alex
dc.creatorVarela, Noel
dc.date2020-04-15T17:10:28Z
dc.date2020-04-15T17:10:28Z
dc.date2020
dc.date.accessioned2023-10-03T20:00:23Z
dc.date.available2023-10-03T20:00:23Z
dc.identifier1742-6588
dc.identifier1742-6596
dc.identifierhttps://hdl.handle.net/11323/6192
dc.identifierdoi:10.1088/1742-6596/1432/1/012073
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9173787
dc.descriptionThis paper proposes the analysis of the influence of terms that express feelings in the automatic detection of topics in social networks. This proposal uses an ontology-based methodology which incorporates the ability to identify and eliminate those terms that present a sentimental orientation in social network texts, which can negatively influence the detection of topics. To this end, two resources were used to analyze feelings in order to detect these terms. The proposed system was evaluated with real data sets from the Twitter and Facebook social networks in English and Spanish respectively, demonstrating in both cases the influence of sentimentally oriented terms in the detection of topics in social network texts.
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherJournal of Physics: Conference Series
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dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectBig Data
dc.subjectAutomatic detection
dc.subjectSocial network
dc.titleBig data and automatic detection of topics: social network texts
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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