Abstract
In sentiment analysis, polarity shifting means to shift the polarity of a sentiment clue. Compared with other natural language processing (NLP) tasks, to extract polarity shifters (polarity shifting patterns) in corpora is a challenging one, since the polarity shifters sometimes are very subtle, which often invalidates fully automatic approaches. In this paper, aiming to extract polarity shifters that invert or attenuate polarity, we use a semi-automatic approach based on pattern mining. The approach can greatly reduce the human annotating cost and cover as many polarity shifters as possible. We tested this approach on domain corpora, and encouraging experimental results are reported.
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
Boubel, N., François, T., Naets, H.: Automatic extraction of contextual valence shifters. In: RANLP, pp. 98–104 (2013)
Ikeda, D., Takamura, H., Ratinov, L., Okumura, M.: Learning to shift the polarity of words for sentiment classification. In: IJCNLP, pp. 296–303 (2008)
Kennedy, A., Inkpen, D.: Sentiment classification of movie reviews using contextual valence shifters. In: Computational Intelligence (2006)
Kennedy, A., Inkpen, D.: Sentiment classification of movie and product reviews using contextual valence shifters. In: Proceedings of FINEXIN 2005, Workshop on the Analysis of Informal and Formal Information Exchange during Negotiations, Ottawa, CA (2005). http://www.site.uottawa.ca/~diana/publications/sentiment.pdf
Li, S., Lee, S., Chen, Y., Huang, C., Zhou, G.: Sentiment classification and polarity shifting. In: Proceedings of COLING 2010, pp. 635–643 (2010)
Morsy, S.A., Rafea, A.: Improving document-level sentiment classification using contextual valence shifters. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds.) NLDB 2012. LNCS, vol. 7337, pp. 253–258. Springer, Heidelberg (2012)
Pei, J., Han, J., Mortazavi-Asl, B., Pinto, H., Chen, Q., Dayal, U., Hsu, M.-C.: Prefixspan: mining sequential patterns efficiently by prefix-projected pattern growth. In: Proceeding of the 2001 International Conference on Data Engineering (ICDE 2001), pp. 215–224, Heidelberg, Germany (2001)
Polanyi, L., Zaenen, A.: Contextual lexical valence shifters. In: Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications (2004)
Quirk, R., Greenbaum, S., Leech, G., Svartvik, J.: A comprehensive grammar of the English language. Longman (1985)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Xu, G., Huang, C. (2015). Mining Chinese Polarity Shifters. In: Lu, Q., Gao, H. (eds) Chinese Lexical Semantics. CLSW 2015. Lecture Notes in Computer Science(), vol 9332. Springer, Cham. https://doi.org/10.1007/978-3-319-27194-1_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-27194-1_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-27193-4
Online ISBN: 978-3-319-27194-1
eBook Packages: Computer ScienceComputer Science (R0)