Explainable Transformer Models for Human Emotion Recognition: A Multi-Method Explainability Study in the Context of Mental Health

The ability to identify emotions based on written text is one of the core areas of Natural Language Processing (NLP) and has many applications in areas such as mental health monitoring, sentiment analysis, and dialogue systems. This study proposes an explainable emotion recognition (EER) framework b...

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Autors principals:	Muhammad Azhar, Naureen Riaz, Waqar Azeem, Deshinta Arrova Dewi, Adeen Amjad, Muhammad Arman
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-05-01
Col·lecció:	Information
Matèries:	emotion recognition explainable AI RoBERTa SHAP LIME integrated gradients
Accés en línia:	https://www.mdpi.com/2078-2489/17/5/496
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