國立虎尾科技大學 |

Emotion and Cause = Linguistic Theory and Computational Implementation /

紀錄類型:	書目-語言資料,印刷品 : 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.
面頁冊數:	XII, 151 p. 85 illus., 6 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Language and education. -
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. - 1st ed. 2019. - XII, 151 p. 85 illus., 6 illus. in color.online resource. - 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:

555467
Language and education.

LC Class. No.: LC8-6691

Dewey Class. No.: 407.1

Emotion and Cause = Linguistic Theory and Computational Implementation /
LDR:02689nam a22003975i 4500 001 1006673
003 DE-He213
005 20200701044153.0
007 cr nn 008mamaa
008 210106s2019 si | s |||| 0|eng d
020 $a 9789811061943 $9 978-981-10-6194-3
024 7 $a 10.1007/978-981-10-6194-3 $2 doi
035 $a 978-981-10-6194-3
050 4 $a LC8-6691
072 7 $a CJ $2 bicssc
072 7 $a EDU018000 $2 bisacsh
072 7 $a CJ $2 thema
082 0 4 $a 407.1 $2 23
100 1 $a Lee, Sophia Yat Mei. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1300275
245 1 0 $a Emotion and Cause $h [electronic resource] : $b Linguistic Theory and Computational Implementation / $c by Sophia Yat Mei Lee.
250 $a 1st ed. 2019.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a XII, 151 p. 85 illus., 6 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 Language and education. $3 555467
650 0 $a Applied linguistics. $3 560935
650 0 $a Syntax. $3 671699
650 0 $a Semantics. $3 555362
650 1 4 $a Language Education. $3 668404
650 2 4 $a Applied Linguistics. $3 671516
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811061929
776 0 8 $i Printed edition: $z 9789811061936
830 0 $a Studies in East Asian Linguistics, $x 2522-5103 $3 1283961
856 4 0 $u https://doi.org/10.1007/978-981-10-6194-3
912 $a ZDB-2-SLS
912 $a ZDB-2-SXS
950 $a Social Sciences (SpringerNature-41176)
950 $a Social Sciences (R0) (SpringerNature-43726)