Umigon-lexicon: rule-based model for interpretable sentiment analysis and factuality categorization.

We introduce umigon-lexicon, a novel resource comprising English lexicons and associated conditions designed specifically to evaluate the sentiment conveyed by an author's subjective perspective. We conduct a comprehensive comparison with existing lexicons and evaluate umigon-lexicon's efficacy in s...

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Publicado en:Language Resources & Evaluation Vol. 59; no. 2; pp. 913 - 931
Autor principal: Levallois, Clément
Formato: Artículo
Publicado: Springer Nature Jun2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Umigon-lexicon: rule-based model for interpretable sentiment analysis and factuality categorization.
      aug:
        au: Levallois, Clément
        affil: https://ror.org/009gmrj52 Emlyon Business School, Paris, France
      su:
        Sentiment analysis
        Lexicon
        Disease complications
        Classification
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        subj:
          Sentiment analysis
          Lexicon
          Disease complications
          Classification
      keyword:
        Explainability
        Factuality classification
        Interpretability
      ab: We introduce umigon-lexicon, a novel resource comprising English lexicons and associated conditions designed specifically to evaluate the sentiment conveyed by an author's subjective perspective. We conduct a comprehensive comparison with existing lexicons and evaluate umigon-lexicon's efficacy in sentiment analysis and factuality classification tasks. This evaluation is performed across eight datasets and against six models. The results demonstrate umigon-lexicon's competitive performance, underscoring the enduring value of lexicon-based solutions in sentiment analysis and factuality categorization. Furthermore, umigon-lexicon stands out for its intrinsic interpretability and the ability to make its operations fully transparent to end users, offering significant advantages over existing models.
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    language: English
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