Emotion lexicon and its application: A study based on written texts

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Compared with other language forms, journalese, which is characterized as formal, serious, brief, and standard, in Chinese written texts, carries rich information using few words. Expressing textual meanings, especially personal emotions, by means of appropriate words is quite important in Chinese writing. In teaching Chinese writing, it is easier to compose appropriate texts if teachers and learners interpret emotion words through sense divisions, semantic features, related words, and collocations. This study aimed to build a Chinese emotion lexicon that distinguishes emotion expressions in contexts through the classification of semantic features, as well as provides information via related words and collocations. Moreover, this study applied the characteristics of Chinese emotion words to teach Chinese writing with the aim of improving learners’ writing.

Original languageEnglish
Title of host publicationChinese Lexical Semantics - 17th Workshop, CLSW 2016, Revised Selected Papers
EditorsJingxia Lin, Xuri Tang, Minghui Dong
PublisherSpringer Verlag
Pages1-17
Number of pages17
ISBN (Print)9783319495071
DOIs
Publication statusPublished - 2016 Jan 1
Event17th Chinese Lexical Semantics Workshop, CLSW 2016 - Singapore, Singapore
Duration: 2016 May 202016 May 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10085 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th Chinese Lexical Semantics Workshop, CLSW 2016
CountrySingapore
CitySingapore
Period16/5/2016/5/22

Fingerprint

Semantics
Teaching
Collocation
Division
Emotion
Text

Keywords

  • Chinese emotion words
  • Collocations
  • Semantic features
  • Teaching Chinese writing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hong, J. F. (2016). Emotion lexicon and its application: A study based on written texts. In J. Lin, X. Tang, & M. Dong (Eds.), Chinese Lexical Semantics - 17th Workshop, CLSW 2016, Revised Selected Papers (pp. 1-17). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10085 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-49508-8_1

Emotion lexicon and its application : A study based on written texts. / Hong, Jia Fei.

Chinese Lexical Semantics - 17th Workshop, CLSW 2016, Revised Selected Papers. ed. / Jingxia Lin; Xuri Tang; Minghui Dong. Springer Verlag, 2016. p. 1-17 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10085 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hong, JF 2016, Emotion lexicon and its application: A study based on written texts. in J Lin, X Tang & M Dong (eds), Chinese Lexical Semantics - 17th Workshop, CLSW 2016, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10085 LNAI, Springer Verlag, pp. 1-17, 17th Chinese Lexical Semantics Workshop, CLSW 2016, Singapore, Singapore, 16/5/20. https://doi.org/10.1007/978-3-319-49508-8_1
Hong JF. Emotion lexicon and its application: A study based on written texts. In Lin J, Tang X, Dong M, editors, Chinese Lexical Semantics - 17th Workshop, CLSW 2016, Revised Selected Papers. Springer Verlag. 2016. p. 1-17. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-49508-8_1
Hong, Jia Fei. / Emotion lexicon and its application : A study based on written texts. Chinese Lexical Semantics - 17th Workshop, CLSW 2016, Revised Selected Papers. editor / Jingxia Lin ; Xuri Tang ; Minghui Dong. Springer Verlag, 2016. pp. 1-17 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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