Chinese emotion lexicon developing via multi-lingual lexical resources integration

Jun Xu, Ruifeng Xu, Yanzhen Zheng, Qin Lu, Kai Fai Wong, Xiaolong Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

13 Citations (Scopus)

Abstract

This paper proposes an automatic approach to build Chinese emotion lexicon based on WordNet-Affect which is a widely-used English emotion lexicon resource developed on WordNet. The approach consists of three steps, namely translation, filtering and extension. Initially, all English words in WordNet-Affect synsets are translated into Chinese words. Thereafter, with the help of Chinese synonyms dictionary (Tongyici Cilin), we build a bilingual undirected graph for each emotion category and propose a graph based algorithm to filter all non-emotion words introduced by translation procedure. Finally, the Chinese emotion lexicons are obtained by expanding their synonym words representing the similar emotion. The results show that the generated-lexicons is a reliable source for analyzing the emotions in Chinese text.
Original languageEnglish
Title of host publicationComputational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings
Pages174-182
Number of pages9
EditionPART 2
DOIs
Publication statusPublished - 3 Apr 2013
Event14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013 - Samos, Greece
Duration: 24 Mar 201330 Mar 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7817 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013
Country/TerritoryGreece
CitySamos
Period24/03/1330/03/13

Keywords

  • Emotion analysis
  • Emotion lexicon development
  • Multi-lingual

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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