Towards jointly extracting aspects and aspect-specific sentiment knowledge

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 1895-1899

  Xu, Xueke ^a,b   Tan, Songbo ^a   Liu, Yue ^a   Cheng, Xueqi ^a   Lin, Zheng ^a,b  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

aspect level sentiment analysis; aspect specific sentiment knowledge; joint aspect setniment model; online reviews

Indexed keywords

ASPECT-SPECIFIC SENTIMENT KNOWLEDGE; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION;

KNOWLEDGE MANAGEMENT;

DATA MINING;

EID: 84871069013     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2398539     Document Type: Conference Paper

References (12)

1. S. Baccianella, A. Esuli, and F. Sebastiani. Multi-facet rating of product reviews. In Proceedings of the 31st ECIR, 2009.
2. S. Blair-goldensohn, T. Neylon, K. Hannan, G.A. Reis, R. Mcdonald, J. Reynar. Building a sentiment summarizer for local service reviews. In Proceedings of WWW Workshop on NLP in the Information Explosion Era, 2008.
3. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent Dirichlet allocation. Journal of Machine Learning Research, 3(3), 993-1022,2003.
4. S. Brody, and N. Elhadad. An unsupervised aspect-sentiment model for online reviews. In Human Language Technologies: In Proceedings of HLT '10, 2010.
5. G. Ganu, N. Elhadad, and A. Marian. Beyond the stars: Improving rating predictions using review text content. In Proceedings of International Workshop on the Web and Databases ,2009.
6. T. L. Griffiths, and M. Steyvers. Finding scientific topics. Proceedings of the National Academy of Sciences 101(Suppl 1), 5228-5535, 2004.
7. M. Hu, and B. Liu. Mining and summarizing customer reviews. In Proceedings of SIGKDD, pp. 168-177, 2004.
8. Y. Jo, and A. H. Oh. Aspect and sentiment unification model for online review analysis. In Proceeding of WSDM '11 ,2011.
9. C. Lin, and Y. He. Joint sentiment/topic model for sentiment analysis. In Proceeding of the 18th ACM conference on Infor-mation and knowledge management, pp. 375-384, 2009.
10. Y. Lu, M. Castellanos, U. Dayal, and C. Zhai. Automatic Construction of a Context-Aware Sentiment Lexicon: An Opti-mization Approach. In Proceedings of WWW'11, 2011.
11. Q. Mei, X. Ling, M. Wondra, H. Su, and C. Zhai. Topic sentiment mixture: modeling facets and opinions in weblogs. In Proceedings of WWW '07, pp. 171-180, 2007.
12. W. X. Zhao, J. Jiang, H. Yan, and X. Li. Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 56-65, 2010.