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dc.contributor.authorOjeda Hernández, Manuel
dc.contributor.authorLópez-Rodríguez, Domingo 
dc.contributor.authorMora, Angel
dc.date.accessioned2023-04-24T11:42:46Z
dc.date.available2023-04-24T11:42:46Z
dc.date.issued2023
dc.identifier.citationOjeda-Hernández, López-Rodríguez, D., & Mora, Á. (2023). Lexicon-based sentiment analysis in texts using Formal Concept Analysis. International Journal of Approximate Reasoning, 155, 104–112. https://doi.org/10.1016/j.ijar.2023.02.001es_ES
dc.identifier.urihttps://hdl.handle.net/10630/26390
dc.description.abstractIn this paper, we present a novel approach for sentiment analysis that uses Formal Concept Analysis (FCA) to create dictionaries for classification. Unlike other methods that rely on pre-defined lexicons, our approach allows for the creation of customised dictionaries that are tailored to the specific data and tasks. By using a dataset of tweets categorised into positive and negative polarity, we show that our approach achieves a better performance than other standard dictionarieses_ES
dc.description.sponsorshipThis research is partially supported by the State Agency of Research (AEI), the Spanish Ministry of Science, Innovation, and Universities (MCIU), the European Social Fund (FEDER), the Junta de Andalucía (JA), and the Universidad de Málaga (UMA) through the FPU19/01467 (MCIU) internship and the research projects with reference PGC2018-095869-B-I00, TIN2017-89023-P, PID2021-127870OB-I00 (MCIU/AEI/FEDER, UE) and UMA18-FEDERJA-001 (JA/ UMA/ FEDER, UE). Funding for open access charge: Universidad de Málaga / CBUAes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectLéxicos especialeses_ES
dc.subjectAnálisis de datoses_ES
dc.subject.otherFormal Concept Analysises_ES
dc.subject.otherSentiment analysises_ES
dc.subject.otherPolarity analysises_ES
dc.subject.otherText mininges_ES
dc.subject.otherLexicones_ES
dc.titleLexicon-based sentiment analysis in texts using Formal Concept Analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.identifier.doihttps://doi.org/10.1016/j.ijar.2023.02.001
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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