A comparative study of bayesian models for unsupervised sentiment detection

CoNLL 2010 - Fourteenth Conference on Computational Natural Language Learning, Proceedings of the Conference

Volumn , Issue , 2010, Pages 144-152

  Lin, Chenghua ^a   He, Yulan ^b   Everson, Richard ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b OPEN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN MODEL; COMPARATIVE STUDIES; DATA SETS; MULTI DOMAINS; SENTIMENT CLASSIFICATION; THREE MODELS; TOPIC DETECTION;

BAYESIAN NETWORKS;

EID: 79957604857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Ahmed Abbasi, Hsinchun Chen, and Arab Salem. 2008. Sentiment analysis in multiple languages: Feature selection for opinion classification in web forums. ACM Trans. Inf. Syst., 26(3):1-34.
2. Alina Andreevskaia and Sabine Bergler. 2008. When specialists and generalists work together: Overcoming domain dependence in sentiment tagging. In Proceedings of (ACL-HLT), pages 290-298.
3. A. Aue and M. Gamon. 2005. Customizing sentiment classifiers to new domains: a case study. In Proceedings of Recent Advances in Natural Language Processing (RANLP).
4. John Blitzer, Mark Dredze, and Fernando Pereira. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of the Association for Computational Linguistics (ACL), pages 440-447.
5. S. Dasgupta and V. Ng. 2009. Topic-wise, Sentiment-wise, or Otherwise? Identifying the Hidden Dimension for Unsupervised Text Classification. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pages 580- 589.
6. Thomas Hofmann. 1999. Probabilistic latent semantic indexing. In Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR), pages 50-57.
7. Nobuhiro Kaji and Masaru Kitsuregawa. 2006. Automatic construction of polarity-tagged corpus from html documents. In Proceedings of the COL-ING/ACL on Main conference poster sessions, pages 452-459.
8. A. Kennedy and D. Inkpen. 2006. Sentiment classification of movie reviews using contextual valence shifters. Computational Intelligence, 22(2):110-125.
9. Shoushan Li and Chengqing Zong. 2008. Multi-domain sentiment classification. In Proceedings of the Association for Computational Linguistics and the Human Language Technology Conference (ACL-HLT), Short Papers, pages 257-260.
10. Tao Li, Yi Zhang, and Vikas Sindhwani. 2009. A non-negative matrix tri-factorization approach to sentiment classification with lexical prior knowledge. In Proceedings of (ACL-IJCNLP), pages 244-252.
11. Chenghua Lin and Yulan He. 2009. Joint sentiment/topic model for sentiment analysis. In Proceedings of the ACM international conference on Information and knowledge management (CIKM).
12. Ryan McDonald, Kerry Hannan, Tyler Neylon, Mike Wells, and Jeff Reynar. 2007. Structured models for fine-to-coarse sentiment analysis. In Proceedings of the Annual Meeting of the Association of Computational Linguistics (ACL), pages 432-439.
13. Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, and ChengXiang Zhai. 2007. Topic sentiment mixture: modeling facets and opinions in weblogs. In Proceedings of the conference on World Wide Web (WWW), pages 171-180.
14. Bo Pang and Lillian Lee. 2004. A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the Annual Meeting on Association for Computational Linguistics (ACL), page 271.
15. Bo Pang and Lillian Lee. 2008. Opinion mining and sentiment analysis. Found. Trends Inf. Retr., 2(1-2):1-135.
16. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up?: sentiment classification using machine learning techniques. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 79-86.
17. Ivan Titov and Ryan McDonald. 2008a. A joint model of text and aspect ratings for sentiment summarization. In Proceedings of the Aunal Meeting on Association for Computational Linguistics and the Human Language Technology Conference (ACL-HLT), pages 308-316.
18. Ivan Titov and Ryan McDonald. 2008b. Modeling online reviews with multi grain topic models. In Proceeding of the International Conference on World Wide Web (WWW 08'), pages 111-120.
19. Casey Whitelaw, Navendu Garg, and Shlomo Arga-mon. 2005. Using appraisal groups for sentiment analysis. In Proceedings of the ACM international conference on Information and Knowledge Management (CIKM), pages 625-631.