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Emotion and causelinguistic theory a...
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Lee, Sophia Yat Mei.
Emotion and causelinguistic theory and computational implementation /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Emotion and causeby Sophia Yat Mei Lee.
Reminder of title:
linguistic theory and computational implementation /
Author:
Lee, Sophia Yat Mei.
Published:
Singapore :Springer Singapore :2019.
Description:
xii, 151 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
PsycholinguisticsData processing.
Online resource:
https://doi.org/10.1007/978-981-10-6194-3
ISBN:
9789811061943$q(electronic bk.)
Emotion and causelinguistic theory and computational implementation /
Lee, Sophia Yat Mei.
Emotion and cause
linguistic theory and computational implementation /[electronic resource] :by Sophia Yat Mei Lee. - Singapore :Springer Singapore :2019. - xii, 151 p. :ill. (some col.), digital ;24 cm. - Studies in East Asian linguistics,2522-5103. - Studies in East Asian linguistics..
Abstract -- Acknowledgements -- Table of Contents -- List of Figures -- List of Tables -- Introduction -- Theoretical Framework and Methodology -- Emotion Cause Representation and Transitivity -- Epistemic Markup of Emotion Causes -- A Linguistic Model of Emotion -- Emotion Cause Detection -- Conclusion and Future Research -- Appendix.
This work argues that cause events, being the most tangible component of emotion, provide a rich dimension of how emotions should be classified. While it is often claimed that emotional concepts cannot be defined, this work views emotion as a response triggered by actual or perceived events, specifically focusing on the interaction between five primary emotions (Happiness, Sadness, Fear, Anger, and Surprise) and cause events. Cause events are examined in terms of two dimensions, namely transitivity and epistemicity. By incorporating the semantic and syntactic information of emotion cause events, this representation of emotion not only provides deep linguistic criteria of emotion cause events, but also offers an event-based approach to emotion classification. A text-driven, rule-based system for detecting the causes of emotion is then developed to establish the validity of the proposed linguistic model for emotion detection and classification. The system shows promising results.
ISBN: 9789811061943$q(electronic bk.)
Standard No.: 10.1007/978-981-10-6194-3doiSubjects--Topical Terms:
220336
Psycholinguistics
--Data processing.
LC Class. No.: P37.5.D37 / L447 2019
Dewey Class. No.: 401.90285
Emotion and causelinguistic theory and computational implementation /
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linguistic theory and computational implementation /
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Abstract -- Acknowledgements -- Table of Contents -- List of Figures -- List of Tables -- Introduction -- Theoretical Framework and Methodology -- Emotion Cause Representation and Transitivity -- Epistemic Markup of Emotion Causes -- A Linguistic Model of Emotion -- Emotion Cause Detection -- Conclusion and Future Research -- Appendix.
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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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Social Sciences (Springer-41176)
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EB P37.5.D37 L477 2019 2019
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https://doi.org/10.1007/978-981-10-6194-3
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