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This edited volume collects works at the intersection of affective computing, sentiment analysis, linguistics, and metaphor theory. It explores how human emotions, moods, and sentiments — often expressed via metaphors — can be detected and interpreted automatically from text or speech. The book draws on disciplines such as cognitive science, computational linguistics, AI, and psychology to discuss emotion representation, metaphor as a resource for emotional expression, lexical semantics of emotions, uncertainty detection in dialogue, and applications such as opinion mining, financial‑market sentiment analysis, and film‑review evaluation. It is aimed at researchers, practitioners, and advanced students interested in the theory and methods of sentiment analysis, emotion detection, and human‑computer interaction.

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245: $a: Affective Computing and Sentiment Analysis: Emotion, Metaphor and Terminology
245: $b:
082: $a:
100: $a: Khurshid Ahmad
650: $a: Computer Science
250: $a:
440: $v:
250: $b: Springer
250: $c: 2011
020: $a: 9789400717565
300: $a: 150