FLAME:A Probabilistic model combining aspect based opinion mining and collaborative filtering

WSDM 2015 - Proceedings of the 8th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2015, Pages 199-208

  Wu, Yao ^a   Ester, Martin ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Collaborative filtering; Opinion mining; Text mining

Indexed keywords

SENTIMENT ANALYSIS; TEXT MINING;

ASPECT IDENTIFICATIONS; ASPECT MODEL; COLLECTIVE INTELLIGENCES; FINE GRAINED; ONLINE REVIEWS; OPINION MINING; PROBABILISTIC MODELING; STATE-OF-THE-ART METHODS;

COLLABORATIVE FILTERING;

EID: 84928750016     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2684822.2685291     Document Type: Conference Paper

References (25)

1. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. J. Mach. Learn. Res., 3:993-1022, Mar. 2003.
2. S. P. Boyd and L. Vandenberghe. Convex optimization. Cambridge university press, 2004.
3. th International Conference on Machine Learning (ICML-11), pages 1041-1048, 2011.
4. M. Hoffman, F. R. Bach, and D. M. Blei. Online learning for latent dirichlet allocation. In advances in neural information processing systems, pages 856-864, 2010.
5. M. Hu and B. Liu. Mining and summarizing customer reviews. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '04, pages 168-177, New York, NY, USA, 2004. ACM.
6. Y. Jo and A. H. Oh. Aspect and sentiment unification model for online review analysis. In Proceedings of the fourth ACM international conference on Web search and data mining, pages 815-824. ACM, 2011.
7. Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. Computer, 42(8):30-37, 2009.
8. th international conference on World wide web, 2014.
9. rd International Conference on Computational Linguistics, pages 653-661. Association for Computational Linguistics, 2010.
10. B. Liu. Opinion mining and sentiment analysis. In Web Data Mining, pages 459-526. Springer, 2011.
11. th international conference on World Wide Web, WWW '05, pages 342-351, New York, NY, USA, 2005. ACM.
12. J. McAuley and J. Leskovec. Hidden factors and hidden topics: understanding rating dimensions with review text. In Recsys, 2013.
13. th International Conference on, pages 1020-1025. IEEE, 2012.
14. th international ACM SIGIR conference on Research and development in Information Retrieval, SIGIR '11, pages 665-674, New York, NY, USA, 2011. ACM.
15. st ACM international conference on Information and knowledge management, CIKM '12, pages 803-812, New York, NY, USA, 2012. ACM.
16. nd international conference on World Wide Web, WWW '13, pages 909-918, 2013.
17. J. Nocedal. Updating quasi-newton matrices with limited storage. Mathematics of computation, 35(151):773-782, 1980.
18. G. Ronning. Maximum likelihood estimation of dirichlet distributions. Journal of statistical computation and simulation, 32(4):215-221, 1989.
19. R. Salakhutdinov and A. Mnih. Probabilistic matrix factorization. In Advances in neural information processing systems, pages 1257-1264, 2007.
20. th international conference on World Wide Web, pages 111-120. ACM, 2008.
21. th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pages 448-456, New York, NY, USA, 2011. ACM.
22. th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 783-792. ACM, 2010.
23. th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 618-626. ACM, 2011.
24. th international ACM SIGIR conference on Research and development in Information Retrieval, SIGIR '14, Gold Coast, Australia, 2014. ACM.
25. 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, EMNLP '10, pages 56-65, Stroudsburg, PA, USA, 2010. Association for Computational Linguistics.