Abstract
The SO-PMI-IR method proposed by [1] is a simple and effective method for predicting the polarity of words, but it suffers from three limitations: 1) polar paradigm words are selected by intuition; 2) few search engines nowadays officially support the NEAR operator; 3) the NEAR operator considers the co-occurrence within 10 words, which incurs some noises.
In this paper, for predicting the polarity of Chinese adjectives automatically, we follow the framework of the SO-PMI-IR method in [1]. However, by using only two polarity indicators, [bu](not) and [youdian](a bit), we overcome all the limitations listed above.
To evaluate our method, a test set is constructed from two Chinese human-annotated polarity lexicons. We compare our method with Turney’s in details and test our method on different settings. For Chinese adjectives, the performance of our method is satisfying. Furthermore, we perform noise analysis, and the relationship between the magnitude of SO-PMI-IR and accuracy is also analyzed. The results show that our method is more reliable than Turney’s method in predicting the polarity of Chinese adjectives.
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
Turney, P.: Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the Association for Computational Linguistics (ACL), pp. 417–424 (2002)
Hatzivassiloglou, V., Wiebe, J.: Effects of adjective orientation and gradability on sentence subjectivity. In: Proceedings of the International Conference on Computational Linguistics, COLING (2000)
Stone, P.J.: The General Inquirer: A Computer Approach to Content Analysis. The MIT Press (1966)
Esuli, A., Sebastiani, F.: Sentiwordnet: A publicly available lexical resource for opinion mining. In: Proceedings of LREC, pp. 417–422 (2006)
Strapparava, C., Valitutti, A.: Wordnet-affect: an affective extension of wordnet. In. In: Proceedings of the 4th International Conference on Language Resources and Evaluation, Lisbon (2004)
Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), pp. 347–354 (2005)
Turney, P.D., Littman, M.L.: Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS) 21(4), 315–346 (2003)
Hatzivassiloglou, V., McKeown, K.: Predicting the semantic orientation of adjectives. In: Proceedings of the Joint ACL/EACL Conference, pp. 174–181 (1997)
Zagibalov, T., Carroll, J.: Automatic seed word selection for unsupervised sentiment classification of chinese text. In: COLING 2008 (2008)
Mohammad, S., Dorr, B., Dunne, C.: Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2009), Singapore (2009)
Wu, Y., Wen, M.: Disambiguating dynamic sentiment ambiguous adjectives. In: Proceedings of COLING 2010 (2010)
Boucher, J., Osgood, C.E.: The pollyanna hypothesis. Journal of Verbal Learning and Verbal Behaviour 8, 1–8 (1969)
Leech, G.: Principles of pragmatics. Longman, London (1983)
Israel, M.: The pragmatics of polarity. In: Horn, L., Ward, G. (eds.) The Handbook of Pragmatics, pp. 701–723. Blackwell, Oxford (2004)
Bolinger, D.: Degree Words. Mouton, Paris (1972)
Ernst, T.: Towards an integrated theory of adverb position in English. Indiana University, Bloomington (1984)
Quirk, R., Greenbaum, S., Leech, G., Svartvik, J.: A comprehensive grammar of the English language. Longman, London (1985)
Klein, H.: Adverbs of degree in Dutch and related languages. John Benjamins Publishing Company, Amsterdam (1998)
Sawada, O.: The meanings of positive polarity minimizers in japanese: a unified approach. In: The Proceedings of SALT 20 (2010)
Yariv-Laor, L., Sovran, T.: The structure of linguistic asymmetry: Evidence from hebrew and chinese. Poznaṅ Studies in Contemporary Linguistics 34, 199–213 (1998)
Zhu, D.: Lecture Notes on Chinese Grammar. The Commercial Press (1982) (in Chinese)
Ku, L., Chen, H.: Mining opinions from the web: Beyond relevance retrieval. Journal of the American Society for Information Science and Technology 58(12), 1838–1850 (2007)
Yu, S., Duan, H., Swen, B., Chang, B.: Specification for corpus processing at peking university: Word segmentation, pos tagging and phonetic notation. Journal of Chinese Language and Computing 13 (2003) (in Chinese)
Yuen, R., Chan, T., Lai, T., Kwong, O., T’sou, B.: Morpheme-based derivation of bipolar semantic orientation of chinese words. In: Proceedings of COLING 2004 (2004)
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, G., Huang, C., Wang, H. (2013). Automatically Predicting the Polarity of Chinese Adjectives: Not, a Bit and a Search Engine. In: Liu, P., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2013. Lecture Notes in Computer Science(), vol 8229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45185-0_48
Download citation
DOI: https://doi.org/10.1007/978-3-642-45185-0_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45184-3
Online ISBN: 978-3-642-45185-0
eBook Packages: Computer ScienceComputer Science (R0)