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Integrating Technical Analysis into Sentiment Analysis: An ASTE Framework for Electric Car Purchase Decision Support Based on LLMs and Semantic BNF

dc.contributor.authorCarrasco Aguilar, Álvaro
dc.contributor.authorCarmona Martínez, María de las Mercedes
dc.contributor.authorParra Meroño, María Concepción
dc.contributor.authorSouto Romero, Mar
dc.date.accessioned2025-03-05T15:02:45Z
dc.date.available2025-03-05T15:02:45Z
dc.date.issued2025-03-04
dc.identifier.citationCarrasco-Aguilar, Á.; Carmona-Martínez, M.M.; Parra-Meroño, M.C.; Souto-Romero, M. Integrating Technical Analysis into Sentiment Analysis: An ASTE Framework for Electric Car Purchase Decision Support Based on LLMs and Semantic BNF. Electronics 2025, 14, 1020.es
dc.identifier.urihttp://hdl.handle.net/10952/9362
dc.description.abstractThis study enhances Aspect Sentiment Triplet Extraction (ASTE) by integrating Large Language Models (LLMs) and a semantic Backus-Naur Form (BNF) framework to analyze expert reviews on electric vehicles. A 2-tuple fuzzy linguistic model improves sentiment representation, ensuring interpretability. Applied to YouTube reviews of top-selling EVs, the method effectively structures technical and qualitative data for decision support.es
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectUniversidades
dc.subjectUniveristyes
dc.subjectRepositorioes
dc.subjectRepositoryes
dc.subjectMarketing
dc.subjectAspect sentiment triplet extraction
dc.subjectLarge language models
dc.subjectSemantic Backus–Naur Form
dc.subjectFuzzy linguistic models
dc.subjectElectric vehicles
dc.subjectExpert reviews
dc.titleIntegrating Technical Analysis into Sentiment Analysis: An ASTE Framework for Electric Car Purchase Decision Support Based on LLMs and Semantic BNFes
dc.typejournal articlees
dc.rights.accessRightsopen accesses
dc.journal.titleElectronicses
dc.volume.number14es
dc.description.disciplineAdministración y Dirección de Empresases
dc.description.disciplineMarketing
dc.description.disciplineIngeniería, Industria y Construcción
dc.identifier.doi10.3390/electronics14051020es
dc.description.facultyEconomía y Empresaes


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