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

Clement Levallois ()
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Clement Levallois: EM - EMLyon Business School

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Abstract: 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.

Keywords: sentiment analysis; factuality categorization; subjectivity detection; lexicons (search for similar items in EconPapers)
Date: 2024-06-17
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Published in Language Resources and Evaluation, inPress, 18 p. ⟨10.1007/s10579-024-09742-y⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04615116

DOI: 10.1007/s10579-024-09742-y

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