A state of the art opinion mining and its application domains

Proceedings of the IEEE International Conference on Industrial Technology

Volumn , Issue , 2009, Pages

  Binali, Haji ^a   Potdar, Vidyasagar ^a   Wu, Chen ^a  

^a CURTIN UNIVERSITY   (Australia)

Author keywords

Data mining; Opinion mining; Supervised learning; Unsupervised learning

Indexed keywords

APPLICATION DOMAINS; NEW OPPORTUNITIES; OPINION MINING; RESEARCH OPPORTUNITIES; SEMANTIC ORIENTATION; STATE OF THE ART;

EDUCATION; SUPERVISED LEARNING; UNSUPERVISED LEARNING;

MINING;

EID: 67650333019     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2009.4939640     Document Type: Conference Paper

References (35)

1. M. Hu and B. Liu, "Mining Opinion Features in Customer Reviews," presented at 19th National Conf. on Artificial Intelligence, 2004.
2. Wilson T, "Just how mad are you? Finding strong and weak opinion clauses," presented at In Proc. 19th National Conference on Artificial Intelligence. 2004.
3. L. B. Hu M, "Mining and summarizing customer reviews.," presented at Proceedings of the tenth ACM SIGKDD international conference onKnowledge discovery and data mining 22:2525, 2004.
4. A. Esuli and F. Sebastiani, "Determining Term Subjectivity and Term Orientation for Opinion Mining," presented at Proceedings the EACL 2006, 2006.
5. S. F. Esuli A, "SENTIWORD NET : A Publicly Available Lexical Resource for Opinion Mining " presented at Proceedings of LREC, 2006, 2006.
6. S. F. Esuli A, "Determining the semantic orientation of terms through gloss classification," presented at Proceedings of the 14th ACM international conference on Information and knowledge management, Bremen, Germany 2005.
7. O. Etzioni, M. Cafarella, D. Downey, Popescu A, T. Shaked, S. Soderland, D. Weld, and A. Yates, "Unsupervised named-entity extraction from the Web: An experimental study," 2004.
8. M. Hu and B. Liu, "Mining and summarizing customer reviews.," presented at Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining 22:2525, 2004.
9. G. Wang and K. Araki, "An Unsupervised Opinion Mining Approach for Japanese Weblog Reputation Information Using an Improved SO-PMI Algorithm," IEICE TRANS. INF.&SYST, vol. VOL.E91-D, pp. 1032-1041, 2008.
10. Turney P, "Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews.," presented at In Proc. of the Meeting of the Association for ComputationalLinguistics (ACL'02), 2002.
11. The Dark Knight, 2008. Retrieved from http://www.imdb.com/title/ tt0468569/
12. The Australian, 2008. Retrieved from http://www.theaustralian.news.com. au/politics/opinion/
13. tanzaniatouristboard, 2008. Retrieved from http://tanzaniatouristboard. com/
14. J. LESKOVEC, A. L. ADAMIC, and B. A. HUBERMAN, "The Dynamics of Viral Marketing," presented at ACM Transactions on the Web (TWEB) 2007.
15. I. Elgort, "E-learning adoption: Bridging the chasm," presented at ascilite 2005 conference proceedings, 2005.
16. J. Conrad and F. Schilder, "Opinion Mining in Legal Blogs," presented at Proceedings of the 11th international conference on Artificial intelligence and law 2007.
17. Curtin Surveys 2008. Retrieved from http://planning.curtin.edu.au/mir/ cass.cfm
18. J.Dickinson, 2006. Retrieved from http://www.goodgearguide.com.au/index. php/taxid;2136212594;pid;1713;pt;1
19. Bizrate.com, 2008. Retrieved from http://www.bizrate.com/ratings-guide/ cust-review-detail-mid--27622-mr-type--1 -review-id-- 12145170799683800036200280101022273.html
20. T. Wilson and J. Wiebe, "Annotating opinions in the world press," presented at In Proceedings of the 4th ACL SIGdial Workshop on Discourse and Dialogue (SIGdial-03), 2003.
21. T. Cheng, X. Yan, K. Chen, and C. Chang, "EntityRank: Searching Entities Directly and Holistically."
22. G. Carenini, R. Ng, and E. Zwart, "Extracting Knowledge from Evaluative Text," Third International Conference on Knowledge Capture, pp. pp. pp. 11 - 18, 2005.
23. M. Popescu and O. Etzioni, "Extracting Product Features and Opinions from Reviews," presented at presented at Conference on Empirical Methods in Natural Language Processing, 2005.
24. K. Kanayama and T. Nasukawa, "Fully Automatic Lexicon Expansion for Domain-oriented Sentiment Analysis," presented at kanayama-nasukawa:2006: EMNLP, 2006.
25. T. Wilson, J. Wiebe, and R. Hwa, "Just how mad are you? Finding strong and weak opinion clauses," presented at In Proc. 19th National Conference on Artificial Intelligence., 2004.
26. J. R. Martin and P. R. R. White, The Language of Evaluation: Appraisal in English. London: Palgrave, 2005.
27. L. W. Ku and H. H. Chen, "Mining Opinions from the Web: Beyond Relevance Retrieval " Journal of the American Society for Information Science and Technology, vol. 58, pp. 1532-2882, 2007.
28. K. Dave, S. Lawrence, and D. Pennock, "Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews.," presented at In Proc. of the 12th Intl. World Wide Web Conference (WWW'03), 2003.
29. L. W. Ku, Y. T. Liang, and H. H. Chen, "Opinion Extraction, Summarization and Tracking in News and Blog Corpora," presented at AAAI-CAAW, 2006.
30. D. Song, H. Lin, and Z. Yang, "Opinion Mining in e-Learning System," presented at Network and Parallel Computing Workshops, 2007. NPC Workshops. IFIP International Conference on, Liaoning, 2007.
31. B. Liu, M. Hu, and J. Cheng, "Opinion Observer: Analyzing and Comparing Opinions on the Web," presented at presented at 14th International World Wide Web Conference, 2005, 2005.
32. B. Liu, M. Hu, and J. Cheng, "Opinion Observer: Analyzing and Comparing Opinions on the Web," presented at Proceedings of the 14th international World Wide Web conference Chiba, Japan, 2005.
33. B. Pang, L. Lee, and S. Vaithyanathan, "Sentiment Classification Using Machine Learning Techniques.," 2002.
34. K. C. C. Chang and B. He, "Statistical Schema Matching across Web Query Interfaces.," presented at In Proc. of the 2003 ACM SIGMOD Intl. Conf. on Management of Data(SIGMOD'03, 2003.
35. C. Whitelaw, G. Navendu, and A. Shlomo, "Using Appraisal Taxonomies for Sentiment Analysis," presented at Proceedings of the 14th ACM international conference on Information and knowledge management 2005.