مقایسهٔ روشها
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| تشخیص هیجان در متن× | طبقهبندی کنش گفتمان× | |
|---|---|---|
| حوزه | متنکاوی | متنکاوی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 1992 | 1997–2000 |
| پدیدآور≠ | Paul Ekman (basic-emotions theory) | Stolcke et al.; Jurafsky et al. |
| نوع≠ | NLP text-classification task | NLP utterance-classification task |
| منبع بنیادین≠ | Ekman, P. (1992). An Argument for Basic Emotions. Cognition & Emotion, 6(3-4), 169-200. DOI ↗ | Stolcke, A. et al. (2000). Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech. Computational Linguistics, 26(3), 339-373. DOI ↗ |
| نامهای دیگر | emotion recognition, emotion classification, Duygu/His Tespiti (Emotion Detection) | dialogue act tagging, speech act classification, Diyalog Eylem Sınıflandırma (Dialogue Act Classification) |
| مرتبط≠ | 3 | 4 |
| خلاصه≠ | Emotion detection is a natural-language-processing task that classifies the basic and complex emotions expressed in text — fear, joy, anger, sadness, surprise, and disgust — within a recognised emotion framework such as Ekman's basic-emotions model or Plutchik's wheel. It builds on Paul Ekman's 1992 argument for a small set of universal basic emotions, going beyond a simple positive/negative split to attach a specific emotion label to each piece of text. | Dialogue act classification is a natural-language-processing task that automatically labels the communicative function of each utterance in a conversation — such as question, answer, greeting, or rejection. Consolidated by Jurafsky et al. (1997) and Stolcke et al. (2000), it is a foundational component for chatbots and discourse analysis. |
| ScholarGateمجموعهداده ↗ |
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