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Emotion and cause = linguistic theor...

Lee, Sophia Yat Mei.

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Emotion and cause = linguistic theory and computational implementation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Emotion and cause/ by 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.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Psycholinguistics - Data processing. -
Online resource:	https://doi.org/10.1007/978-981-10-6194-3
ISBN:	9789811061943

Emotion and cause = linguistic theory and computational implementation /
Lee, Sophia Yat Mei.

Emotion and causelinguistic 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

Standard No.: 10.1007/978-981-10-6194-3doiSubjects--Topical Terms:

769883
Psycholinguistics
--Data processing.

LC Class. No.: P37.5.D37 / L447 2019

Dewey Class. No.: 401.90285

Emotion and cause = linguistic theory and computational implementation /
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300 $a xii, 151 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in East Asian linguistics, $x 2522-5103
505 0 $a 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.
520 $a 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.
650 0 $a Psycholinguistics $x Data processing. $3 769883
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650 0 $a Speech processing systems. $3 590570
650 0 $a Human-computer interaction. $3 560071
650 0 $a Emotive (Linguistics) $3 874948
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