Opinion mining of customer feedback data on the web

Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC-2008

Volumn , Issue , 2008, Pages 230-235

  Lee, Dongjoo ^a   Jeong, Ok Ran ^b   Lee, Sang Goo ^a  

^a Seoul National University   (South Korea)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

customer feedback; linguistic resource; opinion mining; opinion summarization; sentiment classification

Indexed keywords

CUSTOMER FEEDBACK; LINGUISTIC RESOURCE; OPINION MINING; OPINION SUMMARIZATION; SENTIMENT CLASSIFICATION;

CLASSIFICATION (OF INFORMATION); CUSTOMER SATISFACTION; INFORMATION MANAGEMENT; SURVEYS; USER INTERFACES;

SALES;

EID: 59349114874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1352793.1352842     Document Type: Conference Paper

References (24)

1. Appraisal Analysis. http://www.grammatics.com/appraisal/index.html.
2. Argamon, S, Bloom, K., Esuli, A. and Sebastiani, F. 2007. Automatically determining attitude type and force for sentiment analysis. In Proceedings of the 3rd Language and Technology Conference (Poznań, Poland, October 05-07, 2007). 369-373.
3. Dave, K., Lawrence, S., and Pennock, D. M. 2003. Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In Proceedings of the 12th international Conference on World Wide Web (Budapest, Hungary, May 20 - 24, 2003). WWW '03. ACM, New York, NY, 519-528.
4. Esuli, A. and Sebastiani, F. 2005. Determining the semantic orientation of terms through gloss classification. In Proceedings of the 14th ACM international Conference on information and Knowledge Management (Bremen, Germany, October 31 - November 05, 2005). CIKM '05. ACM, New York, NY, 617-624. (Pubitemid 44022237)
5. Esuli, A. and Sebastiani, F. 2006. Determining term subjectivity and term orientation for opinion mining. In Proceedings of the Eleventh Conference on European Chapter of the Association for Computational Linguistics (Trento, Italy, April 03 - 07, 2006). European Chapter Meeting of the ACL. Association for Computational Linguistics. 193-200.
6. Esuli, A. and Sebastiani, F. 2006. SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining. In Proceedings of Fifth Conference on Language Resources and Evaluation (Genova, Italy, May 22-28, 2006). 417-422.
7. Hatzivassiloglou, V. and McKeown, K. R. 1997. Predicting the semantic orientation of adjectives. In Proceedings of the Eighth Conference on European Chapter of the Association for Computational Linguistics (Madrid, Spain, July 07-12, 1997). European Chapter Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 174-181.
8. Hiroshi, K., Tetsuya, N., and Hideo, W. 2004. Deeper sentiment analysis using machine translation technology. In Proceedings of the 20th international Conference on Computational Linguistics (Geneva, Switzerland, August 23 - 27, 2004). International Conference on Computational Linguistics. Association for Computational Linguistics, Morristown, NJ, 494.
9. Hu, M. and Liu, B. 2004. Mining and summarizing customer reviews. In Proceedings of the Tenth ACM SIGKDD international Conference on Knowledge Discovery and Data Mining (Seattle, WA, USA, August 22 - 25, 2004). KDD '04. ACM, New York, NY, 168-177.
10. Hu, M., and Liu, B. 2004. Mining Opinion Features in Customer Reviews. In Proceedings of Nineteenth National Conference on Artificial Intelligence (San Jose, California, USA, July 2-29, 2004). The AAAI Press, Menlo Park, CA, 755-760.
11. Hummel, R. A. and Zucker, S. W. 1987. On the foundations of relaxation labeling processes. In Readings in Computer Vision: Issues, Problems, Principles, and Paradigms, M. A. Fischler and O. Firschein, Eds. Morgan Kaufmann Readings Series. Morgan Kaufmann Publishers, San Francisco, CA, 585-605.
12. Joachims, T. 1997. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. In Proceedings of the Fourteenth international Conference on Machine Learning (July 08 - 12, 1997). D. H. Fisher, Ed. Morgan Kaufmann Publishers, San Francisco, CA, 143-151.
13. Liu, B., Hu, M., and Cheng, J. 2005. Opinion observer: analyzing and comparing opinions on the Web. In Proceedings of the 14th international Conference on World Wide Web (Chiba, Japan, May 10 - 14, 2005). WWW '05. ACM, New York, NY, 342-351.
14. Martin, J. R. and White, P. R. R. The Language of Evaluation: Appraisal in English. Palgrave, London, 2005.
15. Miller, G., Beckwith, R, Fellbaum, C., Gross, D., and Miler, K. 1990. Introduction to WordNet: An on-line lexical database. International Journal of Lexicography(special issue), 3(4):235-312.
16. Pang, B. and Lee, L. 2004. A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics (Barcelona, Spain, July 21-26, 2004). Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 271.
17. Pang, B., Lee, L., and Vaithyanathan, S. 2002. Thumbs up?: sentiment classification using machine learning techniques. In Proceedings of the Acl-02 Conference on Empirical Methods in Natural Language Processing - Volume 10 Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 79-86.
18. Popescu, A. and Etzioni, O. 2005. Extracting product features and opinions from reviews. In Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing (Vancouver, British Columbia, Canada, October 06 - 08, 2005). Human Language Technology Conference. Association for Computational Linguistics, Morristown, NJ, 339-346.
19. Scaffidi, C., Bierhoff, K., Chang, E., Felker, M., Ng, H., and Jin, C. 2007. Red Opal: product-feature scoring from reviews. In Proceedings of the 8th ACM Conference on Electronic Commerce (San Diego, California, USA, June 11-15, 2007). EC '07. ACM, New York, NY, 182-191. (Pubitemid 350164712)
20. Turney, P. D. 2001. 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 (Philadelphia, Pennsylvania, July 07 - 12, 2002). Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 417-424.
21. Turney, P. D. and Littman, M. L. 2003. Measuring praise and criticism: Inference of semantic orientation from association. ACM Trans. Inf. Syst. 21, 4 (Oct. 2003), 315-346.
22. Whitelaw, C., Garg, N., and Argamon, S. 2005. Using appraisal groups for sentiment analysis. In Proceedings of the 14th ACM international Conference on information and Knowledge Management (Bremen, Germany, October 31 - November 05, 2005). CIKM '05. ACM, New York, NY, 625-631. (Pubitemid 44022238)
23. Wilson, T., Wiebe, J., and Hoffmann, P. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing (Vancouver, British Columbia, Canada, October 06 - 08, 2005). Human Language Technology Conference. Association for Computational Linguistics, Morristown, NJ, 347-354.
24. Yi, J. and Niblack, W. 2005. Sentiment Mining in WebFountain. In Proceedings of the 21st international Conference on Data Engineering (Icde'05) - Volume 00 (April 05 - 08, 2005). ICDE. IEEE Computer Society, Washington, DC, 1073-1083