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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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2026-05-01
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| Edice: | Information |
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| On-line přístup: | https://www.mdpi.com/2078-2489/17/5/496 |
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