Academic Journal
Lexicon-based sentiment analysis in texts using Formal Concept Analysis.
| العنوان: | Lexicon-based sentiment analysis in texts using Formal Concept Analysis. |
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| المؤلفون: | Ojeda Hernández, Manuel, López-Rodríguez, Domingo, Mora-Bonilla, Ángel |
| بيانات النشر: | Elsevier |
| سنة النشر: | 2024 |
| المجموعة: | RIUMA - Repositorio Institucional de la Universidad de Málaga |
| مصطلحات موضوعية: | Emociones - Análisis, Análisis del discurso, Formal Concept Analysis (FCA), Lógica de Simplificaciones (LS), Minería de Texto, Análisis de Sentimientos, Deducción automática, Métodos de clausura |
| الوصف: | In 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. ; This 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). |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | Spanish; Castilian |
| Relation: | Ojeda-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.; https://hdl.handle.net/10630/29498 |
| DOI: | 10.1016/j.ijar.2023.02.001 |
| الاتاحة: | https://hdl.handle.net/10630/29498 https://doi.org/10.1016/j.ijar.2023.02.001 |
| Rights: | info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
| رقم الانضمام: | edsbas.D741C8AA |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.ijar.2023.02.001 |
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