Hidden sentiment association in Chinese web opinion mining

Proceeding of the 17th International Conference on World Wide Web 2008, WWW'08

Volumn , Issue , 2008, Pages 959-968

  Su, Qi ^a   Xu, Xinying ^a   Guo, Honglei ^b   Guo, Zhili ^b   Wu, Xian ^b   Zhang, Xiaoxun ^b   Swen, Bin ^a   Su, Zhong ^b  

^a PEKING UNIVERSITY   (China)

^b IBM CHINA RESEARCH LAB   (China)

Author keywords

Association; Mutual reinforcement; Opinion mining; Opinion word; Product feature

Indexed keywords

INTERNET; MINING; REINFORCEMENT;

ASSOCIATION; MUTUAL REINFORCEMENT; OPINION MINING; OPINION WORD; PRODUCT FEATURE;

WORLD WIDE WEB;

EID: 57349197037     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1367497.1367627     Document Type: Conference Paper

References (23)

1. A. Budanitsky and G. Hirst. Evaluating wordnet-based measures of lexical semantic relatedness. Computational Linguistics, 32(1):13-47, 2006.
2. C. Cardie, K. Wagstaff, and et al. Noun phrase coreference as clustering. In Proceedings of the Joint Conf on Empirical Methods in NLP and Very Large Corpora, pages 82-89, 1999.
3. K. Dave, S. Lawrence, and D. M. Pennock. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In Proceedings of 12th International, Conference on the World Wide Web (WWW'03), pages 519-528, 2003.
4. A. Pujii and T. Ishikawa. A system for summarizing and visualizing arguments in subjective documents: Toward supporting decision making. In Proceedings of the Workshop on Sentiment and Subjectivity in Text, ACL2006, pages 15-22, 2006.
5. H. Guo, J. Jiang, G. Hu, and T. Zhang. Chinese named entity recognition based on multilevel linguistic features. Lecture Notes in Artificial Intelligence, 3248:90-99, 2005.
6. V. Hatzivassiloglou and K. McKeown. Predicting the semantic orientation of adjectives. In Proceedings of the 35th Annual Meeting o} the ACL and the 8th Conference of the European Chapter of the ACL, pages 174-181, 1997.
7. M. Hu and B. Liu. Mining and summarizing customer reviews. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2004), pages 761-769, 2004.
8. M. Hu and B. Liu. Mining opinion features in customer reviews. In Proceedings of Nineteeth National Conference on Artificial Intellgience (AAAI-2004), pages 755-760, 2004,
9. S.-M. Kim and E. Hovy. Identifying opinion holders for question answering in opinion texts. In Proceedings of AAAI Workshop on Question Answering in Restricted, Domains, 2005.
10. B. Liu, M. Hu. and J. Cheng. Opinion observer: analyzing and comparing opinions on the web. In Proceedings of the 14th international conference on World Wide Web (WWW'05), pages 1024-1025, 2005.
11. Y. Liu and et al. The CCD construction model " its auxiliary tool vacol. Applied, Linguistics, 45(1):83-88, 2003.
12. J. B. MacQueen. Some methods for classification and analysis of multivariate observations. In Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability, pages 281 297, 1967.
13. B. Pang and L. Lee. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of 43nd Annual, Meeting of the Association for Computational Linguistics (ACL'05), 2005.
14. P. Pantel and D. Lin. Discovering word senses from text. In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 618-619, 2002.
15. A.-M. Popescu and O. Etzioni. Extracting product features and opinions from reviews. In Proceedings of Human Language Technology Conference/Conference on Empirical Methods in Natural Language Processing (HLT-EMNLP -05), Vancouver, CA, 2005.
16. Q. Su, Y. Zhu, B. Swen, and S.-W. Yu. Mining feature based opinion expressions by mutual information approach. International Journal of Computer Processing of Oriental Languages, 20(2/3): 137-150.
17. J.-T. Sun, X. Wang, D. Shen, H.-J. Zeng, and Z. Chen. CWS: a comparative web search system. In Proceedings of the 15th international conference on World Wide Web, 2006.
18. M. C. Thomas and J. A. Thomas. Elements of Information Theory. Number 10. 1991.
19. P. Turney. Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In Proceedings of 40th Annual Meeting of the Association for Computational Linguistics (ACL '02), pages 417-424, 2002.
20. K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl. Constrained k-meaus clustering with background knowledge. In Proceedings of the Eighteenth International Conference on Machine Learning, pages 577-584, 2001.
21. G.-R. Xue, Y. Yu, D. Shen, Q. Yang, H.-J. Zeng, and Z. Chen. Rein forcing web-object categorization through interrelationships. Number 12(2-3), 2006.
22. H. Yu and V. Hatzivassiloglou. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of EMNLP 2003, 2003.
23. H.-J. Zeng, Z. Chen, and W.-Y. Ma. A unified framework for clustering heterogeneous web objects. In Proceedings of the 3rd International Conference on Web Information Systems Engineering, pages 161-172, 2002.