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Norms of Valence and Arousal for 2,076 Chinese 4-Character Words
Liu, Pingping1,2,3; Li, Minglei1; Lu, Qin1; Han, Buxin2,3
Conference Name15th International Conference of the Pacific Associationfor Computational Linguistics, PACLING 2017
Source PublicationCommunications in Computer and Information Science
Conference DateAugust 16, 2017 - August 18, 2017
Conference PlaceYangon,
PublisherSpringer Verlag
Contribution Rank2
AbstractThis 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. © 2018, Springer Nature Singapore Pte Ltd.
Subject AreaComputational Linguistics
Indexed ByEI
EI KeywordsData mining - Natural language processing systems
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Document Type会议论文
Corresponding AuthorLiu, Pingping
Affiliation1.Department of Computing, The Hong Kong Polytechnic University, 999077, Hong Kong;
2.CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing; 100101, China;
3.Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Liu, Pingping,Li, Minglei,Lu, Qin,et al. Norms of Valence and Arousal for 2,076 Chinese 4-Character Words[C]:Springer Verlag,2018:88-98.
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