Overview of the IALP 2016 shared task on Dimensional Sentiment Analysis for Chinese Words

Liang Chih Yu, Lung Hao Lee, Kam Fai Wong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This paper presents the IALP 2016 shared task on Dimensional Sentiment Analysis for Chinese Words (DSAW) which seeks to identify a real-value sentiment score of Chinese words in the both valence and arousal dimensions. Valence represents the degree of pleasant and unpleasant (or positive and negative) feelings, and arousal represents the degree of excitement and calm. Of the 22 teams registered for this shared task for two-dimensional sentiment analysis, 16 submitted results. We expected that this evaluation campaign could produce more advanced dimensional sentiment analysis techniques, especially for Chinese affective computing. All data sets with gold standards and scoring script are made publicly available to researchers.

Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Asian Language Processing, IALP 2016
EditorsMinghui Dong, Chung-Hsien Wu, Yanfeng Lu, Haizhou Li, Yuen-Hsien Tseng, Liang-Chih Yu, Lung-Hao Lee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages156-160
Number of pages5
ISBN (Electronic)9781509009213
DOIs
StatePublished - 10 Mar 2017
Event20th International Conference on Asian Language Processing, IALP 2016 - Tainan, Taiwan
Duration: 21 Nov 201623 Nov 2016

Publication series

NameProceedings of the 2016 International Conference on Asian Language Processing, IALP 2016

Conference

Conference20th International Conference on Asian Language Processing, IALP 2016
Country/TerritoryTaiwan
CityTainan
Period21/11/1623/11/16

Keywords

  • affective computing
  • dimensional sentiment analysis
  • valence-Arousal space

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