Abstract
Determining polarity of words is an important task in sentiment analysis with applications in several areas such as text categorization and review analysis. In this paper, we propose a multilingual approach for word polarity detection. We construct a word relatedness graph by using the relations in WordNet of a given language. We extend the graph by connecting the WordNets of different languages with the help of the Inter-Lingual-Index based on English WordNet. We develop a semi-automated procedure to produce a set of positive and negative seed words for foreign languages by using a set of English seed words. To identify the polarity of unlabeled words, we propose a method based on random walk model with commute time metric as proximity measure. We evaluate our multilingual approach for English and Turkish and show that it leads to improvement in performance for both languages.
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
Morinaga, S., Yamanishi, K., Tateishi, K., Fukushima, T.: Mining Product Reputations on the Web. In: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 341–349 (2002)
Turney, P.D.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp. 417–424 (2002)
Popescu, A., Etzioni, O.: Extracting Product Features and Opinions from Reviews. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing Association for Computational Linguistics, pp. 339–346 (2005)
Hassan, A., Qazvinian, V., Radev, D.: What’s with the Attitude? Identifying Sentences with Attitude in Online Discussions. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 1245–1255 (2010)
Miller, G.A.: WordNet: A Lexical Database for English. Communications of the ACM 38(11), 39–41 (1995)
Stone, P., Dunphy, D., Smith, M., Ogilvie, D.: The General Inquirer: A Computer Approach to Content Analysis. The MIT Press, Cambridge (1966)
Takamura, H., Inui, T., Okumura, M.: Extracting Semantic Orientations of Words Using Spin Model. In: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pp. 133–140 (2005)
Hassan, A., Radev, D.: Identifying Text Polarity Using Random Walks. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 395–403 (2010)
Vossen, P.: Eurowordnet: A Multilingual Database with Lexical Semantic Networks. Kluwer Academic Publishers, Norwell (1998)
Tufiş, D., Cristea, D., Stamou, S.: Balkanet: Aims, Methods, Results and Perspectives. A General Overview. Romanian Journal on Science and Technology of Information 7, 9–43 (2004)
Bilgin, O., Çetinoglu, Ö., Oflazer, K.: Building a Wordnet for Turkish. Romanian Journal on Information Science and Technology 7, 163–172 (2004)
Turney, P.D., Littman, M.L.: Measuring Praise and Criticism: Inference of Semantic Orientation from Association. ACM Transactions on Information Systems 21(4), 315–346 (2003)
Hassan, A., Abu-Jbara, A., Jha, R., Radev, D.: Identifying the Semantic Orientation of Foreign Words. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, vol. 2, pp. 592–597 (2011)
Lovasz, L.: Random Walks on Graphs: A Survey. Bolyai Society Mathematical Studies 2, 353–398 (1996)
Sarkar, P.: Tractable Algorithms for Proximity Search on Large Graphs. Ph.D. Thesis, Carnegie Mellon University (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
Özsert, C.M., Özgür, A. (2013). Word Polarity Detection Using a Multilingual Approach. 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_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-37256-8_7
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)