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dc.contributor.authorOjeda Hernández, Manuel
dc.contributor.authorLópez-Rodríguez, Domingo 
dc.contributor.authorMora-Bonilla, Ángel 
dc.date.accessioned2024-01-31T11:37:50Z
dc.date.available2024-01-31T11:37:50Z
dc.date.created2024
dc.date.issued2023-02-03
dc.identifier.citationOjeda-Hernández, M., López-Rodríguez, D., & Mora, Á. (2023). Lexicon-based sentiment analysis in texts using Formal Concept Analysis. International Journal of Approximate Reasoning, 155, 104–112.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/29498
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 dictionaries.es_ES
dc.description.sponsorshipThis research is partially supported by the State Agency of Research (AEI), the Spanish Ministry of Science, Innova-tion, 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).es_ES
dc.language.isospaes_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEmociones - Análisises_ES
dc.subjectAnálisis del discursoes_ES
dc.subject.otherFormal Concept Analysis (FCA)es_ES
dc.subject.otherLógica de Simplificaciones (LS)es_ES
dc.subject.otherMinería de Textoes_ES
dc.subject.otherAnálisis de Sentimientoses_ES
dc.subject.otherDeducción automáticaes_ES
dc.subject.otherMétodos de clausuraes_ES
dc.titleLexicon-based sentiment analysis in texts using Formal Concept Analysis.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.identifier.doi10.1016/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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