Process / pipeline
文本情感检测
情感检测是一项自然语言处理任务,它在一个公认的情感框架内(如埃克曼的基本情感模型或普鲁奇克的轮盘模型)对文本中表达的基本和复杂情感——恐惧、喜悦、愤怒、悲伤、惊讶和厌恶——进行分类。它建立在保罗·埃克曼1992年提出的关于一组有限的普遍基本情感的论点之上,超越了简单的积极/消极划分,为每段文本打上特定的情感标签。
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来源
- Ekman, P. (1992). An Argument for Basic Emotions. Cognition & Emotion, 6(3-4), 169-200. DOI: 10.1080/02699939208411068 ↗
- Mohammad, S.M. & Turney, P.D. (2013). Crowdsourcing a Word–Emotion Association Lexicon. Computational Intelligence, 29(3), 436-465. DOI: 10.1111/j.1467-8640.2012.00460.x ↗
如何引用本页
ScholarGate. (2026, June 1). Emotion Detection in Text. ScholarGate. https://scholargate.app/zh/text-mining/emotion-detection
Which method?
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