Abstract
Currently, sentiment analysis has become a hot research topic in the natural language processing (NLP) field as it is highly valuable for many practical usages and theoretical studies. As a basic task in sentiment analysis, construction of sentiment lexicon aims to classify one word into positive, neutral or negative according to its sentiment orientation. However, when constructing a sentiment lexicon in Chinese, there are two major problems: 1) Chinese words are very ambiguous, which makes it hard to compute the sentiment orientation of a word; 2) Given the related research on sentiment analysis, available resource for constructing Chinese sentiment lexicons remains weak. Note that there are several corpus and lexicons in English sentiment analysis. In this study, we first use machine translation system with bilingual resources, i.e., English and Chinese information, then we get the sentiment orientation of Chinese words by computing the point-wise mutual information (PMI) values with English seed words. Experiment results from three domains demonstrate that the lexicon generated with our approach reaches an excellent precision and could cover domain information effectively.
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
Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of EMNLP, pp. 79–86 (2002)
Li, S., Huang, C., Zong, C.: Multi-Domain Sentiment Classification with Classifier Combination. Journal of Computer Science and Technology, 25–33 (2011)
Kennedy, A., Inkpen, D.: Sentiment Classification of Movie Reviews using Contextual Valence Shifters. Computational Intelligence 22(2), 110–125 (2006)
Wiebe, J., Mihalcea, R.: Word Sense and Subjectivity. In: Proceeding of ACL-COLING, pp. 1065–1072 (2006)
Hatzivassiloglou, V., McKeown, K.: Predicting the Semantic Orientation of Adjectives. In: Proceedings of ACL, pp. 174–181 (1997)
Wiebe, J.: Learning Subjective Adjectives from Corpora. In: Proceedings of AAAI, pp. 735–740 (2000)
Cui, H., Mittal, V., Datar, M.: Comparative Experiments on Sentiment Classification for Online Product Reviews. In: Proceedings of AAAI, pp. 1265–1270 (2006)
Pang, B., Lee, L.: A Sentimental Education: Sentiment Analysis using Subjectivity Summarization based on Minimum Cuts. In: Proceedings of ACL, pp. 271–278 (2004)
Kim, S., Hovy, E.: Determining the Sentiment of Opinions. In: Proceedings of COLING, pp. 1367–1373 (2004)
Li, S., Huang, C., Zhou, G., Lee, S.: Employing Personal/Impersonal Views in Supervised and Semi-supervised Sentiment Classification. In: Proceedings of ACL, pp. 414–423 (2010)
Li, S., Wang, Z., Zhou, G., Lee, S.: Semi-Supervised Learning for Imbalanced Sentiment Classification. In: Proceedings of IJCAI, pp. 1826–1831 (2011)
Andrea, E.: Determining the Semantic Orientation of Terms through Gloss Classification. In: Proceedings of CIKM, pp. 617–624 (2005)
Hassan, A., Radev, D.: Identifying Text Polarity Using Random Walks. In: Proceedings of ACL, pp. 395–403 (2010)
Zhu, Y., Min, J., Zhou, Y., Huang, X., Wu, L.: Semantic Orientation Computing Based on HowNet. Journal of Chinese Information Processing, 14–20 (2006)
Hatzivassiloglou, V., Wiebe, J.: Effects of Adjective Orientation and Gradability on Sentence Subjectivity. In: Proceedings of ACL, pp. 299–304 (2000)
Turney, P.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: Proceedings of ACL, pp. 417–424 (2002)
Popescu, A., Etzioni, O.: Extracting Product Features and Opinions from Reviews. In: Proceedings of HLT/EMNLP, pp. 339–346
Akkaya, C., Wiebe, J., Mihalcea, R.: Subjectivity Word Sense Disambiguation. In: Proceeding of EMNLP, pp. 190–199 (2009)
Li, S., Huang, C.: Word Sentiment Orientation Computing with Feature Selection Methods. In: CLSW (2009)
Lu, Y., Castellanos, M., Dayal, U., Zhai, C.: Automatic Construction of a Context-Aware Sentiment Lexicon: An Optimization Approach. In: Proceedings of WWW, pp. 347–356 (2011)
Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing Contextual Polarity in Phrase-level Sentiment Analysis. In: Proceedings of HLT/EMNLP, pp. 347–354
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
Su, Y., Li, S. (2013). Constructing Chinese Sentiment Lexicon Using Bilingual Information. In: Ji, D., Xiao, G. (eds) Chinese Lexical Semantics. CLSW 2012. Lecture Notes in Computer Science(), vol 7717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36337-5_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-36337-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36336-8
Online ISBN: 978-3-642-36337-5
eBook Packages: Computer ScienceComputer Science (R0)