Found in Translation: Conveying Subjectivity of a Lexicon of One Language into Another Using a Bilingual Dictionary and a Link Analysis Algorithm

  • Jungi Kim
  • Hun-Young Jung
  • Sang-Hyob Nam
  • Yeha Lee
  • Jong-Hyeok Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5459)

Abstract

This paper proposes a method that automatically creates a subjectivity lexicon in a new language using a subjectivity lexicon in a resource–rich language with only a bilingual dictionary. We resolve some of the difficulties in selecting appropriate senses when translating lexicon, and present a framework that sequentially applies an iterative link analysis algorithm to enhance the quality of lexicons of both the source and target languages. The experimental results have empirically shown to improve the subjectivity lexicon in the source language as well as create a good quality lexicon in a new language.

Keywords

Opinion Analysis Sentiment Lexicon Lexicon Translation 

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References

  1. 1.
    Hatzivassiloglou, V., Mckeown, K.R.: Predicting the semantic orientation of adjectives. In: Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL 1997), madrid, ES, pp. 174–181 (1997)Google Scholar
  2. 2.
    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)CrossRefGoogle Scholar
  3. 3.
    Kamps, J., Marx, M., Mokken, R.J., Rijke, M.D.: Using wordnet to measure semantic orientation of adjectives. In: Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, PT, pp. 1115–1118 (2004)Google Scholar
  4. 4.
    Takamura, H., Inui, T., Okumura, M.: Extracting semantic orientations of words using spin model. In: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL 2005), Ann Arbor, USA, pp. 133–140 (2005)Google Scholar
  5. 5.
    Esuli, A., Sebastiani, F.: Determining the semantic orientation of terms through gloss analysis. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management (CIKM 2005), Bremen, DE, pp. 617–624 (2005)Google Scholar
  6. 6.
    Andreevskaia, A., Bergler, S.: Mining wordnet for fuzzy sentiment: Sentiment tag extraction from wordnet glosses. In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2006), Trento, IT, pp. 209–216 (2007)Google Scholar
  7. 7.
    Esuli, A., Sebastiani, F.: Sentiwordnet: A publicly available lexical resource for opinion mining. In: Proceedings of the 5th Conference on Language Resources and Evaluation (LREC 2006), Geneva, IT, pp. 417–422 (2006)Google Scholar
  8. 8.
    Esuli, A., Sebastiani, F.: Pageranking wordnet synsets: An application to opinion mining. In: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL 2007), Prague, CZ, pp. 424–431 (2007)Google Scholar
  9. 9.
    Kim, S.M., Hovy, E.: Determining the sentiment of opinions. In: Proceedings of 20th International Conference on Computational Linguistics (COLING 2004), Geneva,CH, pp. 1367–1373 (2004)Google Scholar
  10. 10.
    Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT-EMNLP 2005), Vancouver, CA, pp. 347–354 (2005)Google Scholar
  11. 11.
    Mihalcea, R.: Random walks on text structures. In: Gelbukh, A. (ed.) CICLing 2006. LNCS, vol. 3878, pp. 249–262. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  12. 12.
    Mihalcea, R., Banea, C., Wiebe, J.: Learning multilingual subjective language via cross-lingual projections. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (ACL 2007), Prague, CZ, pp. 976–983 (2007)Google Scholar
  13. 13.
    Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the 10th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2004), New York, USA, pp. 168–177 (2004)Google Scholar
  14. 14.
    Wiebe, J., Mihalcea, R.: Word sense and subjectivity. In: Proceedings of the 44th Annual Meeting of the Association for Computational Linguistics (ACL 2006), Sydney, AU, pp. 1065–1072 (2006)Google Scholar
  15. 15.
    Yu, H., Hatzivassiloglou, V.: Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In: Proceedings of 2003 Conference on the Empirical Methods in Natural Language Processing (EMNLP 2003), Sapporo, JP, pp. 129–136 (2003)Google Scholar
  16. 16.
    Takamura, H., Inui, T., Okumura, M.: Latent variable models for semantic orientations of phrases. In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2006), Trento, IT, pp. 201–208 (2006)Google Scholar
  17. 17.
    Kanayama, H., Nasukawa, T.: Fully automatic lexicon expansion for domain-oriented sentiment analysis. In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), Sydney, AU, pp. 355–363 (2006)Google Scholar
  18. 18.
    Hu, Y., Duan, J., Chen, X., Pei, B., Lu, R.: A new method for sentiment classification in text retrieval. In: Dale, R., Wong, K.-F., Su, J., Kwong, O.Y. (eds.) IJCNLP 2005. LNCS, vol. 3651, pp. 1–9. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  19. 19.
    Kim, S.M., Hovy, E.: Identifying and analyzing judgment opinions. In: Proceedings of the Human Language Technology Conference of the NAACL (HLT/NAACL 2006), New York, USA, pp. 200–207 (2006)Google Scholar
  20. 20.
    Stone, P.J., Dunphy, D.C., Smith, M.S., Ogilvie, D.M.: The General Inquirer: A Computer Approach to Content Analysis. MIT Press, Cambridge (1966)Google Scholar
  21. 21.
    Whitelaw, C., Garg, N., Argamon, S.: Using appraisal groups for sentiment analysis. In: Proceedings of the 14th ACM international conference on Information and knowledge management (CIKM 2005), Bremen, DE, pp. 625–631 (2005)Google Scholar
  22. 22.
    Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. J. ACM 46(5), 604–632 (1999)CrossRefGoogle Scholar
  23. 23.
    Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. In: Computer Networks and ISDN Systems, pp. 107–117 (1998)Google Scholar
  24. 24.
    Cerini, S., Compagnoni, V., Demontis, A., Formentelli, M., Gandini, C.: Micro-wnop: A gold standard for the evaluation of automatically compiled lexical resources for opinion mining. In: Language resources and linguistic theory: Typology, second language acquisition, English linguistics, Milano, IT (2007)Google Scholar
  25. 25.
    Fagin, R., Kumar, R., Mahdian, M., Sivakumar, D., Vee, E.: Comparing and aggregating rankings with ties. In: Proceedings of the ACM International Conference on Principles of Database Systems (PODS 2004), Paris, FR, pp. 47–58 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jungi Kim
    • 1
  • Hun-Young Jung
    • 1
  • Sang-Hyob Nam
    • 1
  • Yeha Lee
    • 1
  • Jong-Hyeok Lee
    • 1
  1. 1.Division of Electrical and Computer EngineeringPohang University of Science and TechnologyPohangRepublic of Korea

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