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Title: Norms of Valence and Arousal for 2,076 Chinese 4-Character Words
Authors: Liu, P 
Li, M 
Lu, Q 
Han, B
Keywords: Affective analysis
Chinese words
Issue Date: 2018
Publisher: Springer
Source: Communications in computer and information science, v. 781, 2018, p. 88-98 How to cite?
Journal: Communications in computer and information science 
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.
Description: 15th International Conference of the Pacific Association for Computational Linguistics, PACLING 2017, Yangon, Myanmar, 16-18 Aug 2017
ISBN: 9789811084379
ISSN: 1865-0929
EISSN: 1865-0937
DOI: 10.1007/978-981-10-8438-6_8
Appears in Collections:Conference Paper

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