Norms of Valence and Arousal for 2,076 Chinese 4-Character Words

Pingping Liu, Minglei Li, Qin Lu, Buxin Han

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

2 Citations (Scopus)

Abstract

This study describes an annotated dataset through psycho-linguistic annotations in controlled environment on valence and arousal for a large lexicon of 2,076 Chinese 4-character words. The purpose for the annotation is to provide affect-linked knowledge to text which can be used in affective computing using NLP techniques. Analysis to the annotated data indicates that valence and arousal fit the classical U-shaped distribution. Most importantly, the annotated results indicate that the same 2-character word that appears in different 4-character words can indeed show distinct affective meanings which implies that the affective meaning of 4-character words may not be compositional to its component words. The study on this annotated list of 4-character words not only has significance at the intersection of cognitive neuroscience and social psychology, but also has great value as a resource for affective analysis in NLP applications.
Original languageEnglish
Title of host publicationComputational Linguistics - 15th International Conference of the Pacific Association for Computational Linguistics, PACLING 2017, Revised Selected Papers
EditorsWin Pa Pa, Kôiti Hasida
PublisherSpringer Verlag
Pages88-98
Number of pages11
ISBN (Print)9789811084379
DOIs
Publication statusPublished - 1 Jan 2018
Event15th International Conference of the Pacific Association for Computational Linguistics, PACLING 2017 - Yangon, Myanmar
Duration: 16 Aug 201718 Aug 2017

Publication series

NameCommunications in Computer and Information Science
Volume781
ISSN (Print)1865-0929

Conference

Conference15th International Conference of the Pacific Association for Computational Linguistics, PACLING 2017
Country/TerritoryMyanmar
CityYangon
Period16/08/1718/08/17

Keywords

  • Affective analysis
  • Arousal
  • Chinese words
  • Emotion
  • Valence

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Cite this