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Article Dans Une Revue Language Resources and Evaluation Année : 2024

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

Résumé

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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Dates et versions

hal-04615116 , version 1 (18-06-2024)

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  • HAL Id : hal-04615116 , version 1

Citer

Clément Levallois. Umigon-lexicon: rule-based model for interpretable sentiment analysis and factuality categorization. Language Resources and Evaluation, 2024, FORTH, 18 p. ⟨hal-04615116⟩

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