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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Emotion and cause/ by Sophia Yat Mei Lee.
其他題名:	linguistic theory and computational implementation /
作者:	Lee, Sophia Yat Mei.
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	xii, 151 p. :ill. (some col.), digital ;24 cm.
內容註:	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
標題:	Psycholinguistics - Data processing. -
電子資源:	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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