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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dodds, P.S., Danforth, C.M.: Measuring the Happiness of Large Scale Written Expression: Songs, Blogs, and Presidents. Joural of Happiness Studies 11(4), 441–456 (2009)
Bollen, J., Mao, H., Zeng, X.-J.: Twitter Mood Predicts the Stock Market. Journal of Computational Science 2(1), 1–8 (2011)
Strapparava, C., Valitutti, A.: WordNet-Affect: An Affective Extension of WordNet. In: Proceedings of the 4th International Conference on Language Resources and Evaluation, pp. 1083–1086 (2004)
Sokolova, M., Bobicev, V.: Classification of Emotion Words in Russian and Romanian Languages. In: Proceedings of the International Conference RANLP 2009, pp. 416–420 (2009)
Torii, Y., Das, D., Bandyopadhyay, S., Okumura, M.: Developing Japanese Word-Net Affect for Analyzing Emotions. In: Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, pp. 80–86 (2011)
Yang, C., Lin, K.H.-Y., Chen, H.-H.: Building Emotion Lexicon from Weblog Corpora. In: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume: Proceedings of the Demo and Poster Sessions, pp. 133–136 (2007)
Xu, L., Lin, H., Pan, Y., Ren, H., Chen, J.: Constructing the Affective Lexicon Ontology. Journal of the China Society for Scientific and Technical Information 27(2), 180–185 (2008)
Xu, G., Meng, X., Wang, H.: Build Chinese Emotion Lexicons Using a Graph Based Algorithm and Multiple Resources. In: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 1209–1217 (2010)
Quan, C., Ren, F.: Construction of a Blog Emotion Corpus for Chinese Emotional Expression Analysis. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pp. 1446–1454 (2009)
Quan, C., Ren, F.: An Exploration of Features for Recognizing Word Emotion. In: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 922–930 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xu, J., Xu, R., Zheng, Y., Lu, Q., Wong, KF., Wang, X. (2013). Chinese Emotion Lexicon Developing via Multi-lingual Lexical Resources Integration. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2013. Lecture Notes in Computer Science, vol 7817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37256-8_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-37256-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37255-1
Online ISBN: 978-3-642-37256-8
eBook Packages: Computer ScienceComputer Science (R0)