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Ojeda Hernández, Manuel López-Rodríguez, Domingo Mora, Angel 2023-04-24T11:42:46Z 2023-04-24T11:42:46Z 2023 Ojeda-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.2023.02.001 https://hdl.handle.net/10630/26390 https://doi.org/10.1016/j.ijar.2023.02.001 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 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Léxicos especiales Análisis de datos Lexicon-based sentiment analysis in texts using Formal Concept Analysis journal article