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Emotion and Cause - Linguistic Theory and Computational Implementation (Hardcover, 1st ed. 2019)
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Emotion and Cause - Linguistic Theory and Computational Implementation (Hardcover, 1st ed. 2019)
Series: Studies in East Asian Linguistics
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This work argues that cause events, being the most tangible
component of emotion, provide a rich dimension of how emotions
should be classified. While it is often claimed that emotional
concepts cannot be defined, this work views emotion as a response
triggered by actual or perceived events, specifically focusing on
the interaction between five primary emotions (Happiness, Sadness,
Fear, Anger, and Surprise) and cause events. Cause events are
examined in terms of two dimensions, namely transitivity and
epistemicity. By incorporating the semantic and syntactic
information of emotion cause events, this representation of emotion
not only provides deep linguistic criteria of emotion cause events,
but also offers an event-based approach to emotion classification.
A text-driven, rule-based system for detecting the causes of
emotion is then developed to establish the validity of the proposed
linguistic model for emotion detection and classification. The
system shows promising results.
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