On the design of IDA models for aspect-based opinion mining

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 803-812

  Moghaddam, Samaneh ^a   Ester, Martin ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

aspect identification; aspect based opinion mining; latent dirichlet allocation; rating prediction; variational methods

Indexed keywords

DATA SETS; DESIGN DECISIONS; LATENT DIRICHLET ALLOCATION; LATENT DIRICHLET ALLOCATIONS; OPINION MINING; PROBABILISTIC GRAPHICAL MODELS; PURCHASE DECISION; RESEARCH PAPERS; TEST SETS; VARIATIONAL METHODS;

DESIGN; KNOWLEDGE MANAGEMENT; STATISTICAL TESTS; STATISTICS;

DATA MINING;

EID: 84871066519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2396863     Document Type: Conference Paper

References (30)

1. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. J. Mach. Learn. Res., 2003.
2. S. Brody and N. Elhadad. An unsupervised aspect-sentiment model for online reviews. In HLT '10.
3. Y. Choi and C. Cardie. Hierarchical sequential learning for extracting opinions and their attributes. In ACL '10.
4. X. Ding, B. Liu, and P. S. Yu. A holistic lexicon-based approach to opinion mining. In WSDM '08.
5. H. Guo, H. Zhu, Z. Guo, and Z. Su. Domain customization for aspect-oriented opinion analysis with multi-level latent sentiment clues. In CIKM '11.
6. H. Guo, H. Zhu, Z. Guo, X. Zhang, and Z. Su. Product feature categorization with multilevel latent semantic association. In CIKM '09.
7. Y. He, C. Lin, and H. Alani. Automatically extracting polarity-bearing topics for cross-domain sentiment classification. In HLT '11.
8. M. Hu and B. Liu. Mining and summarizing customer reviews. In KDD '04.
9. M. Hu and B. Liu. Mining opinion features in customer reviews. In AAAI'04.
10. W. Jin, H. H. Ho, and R. K. Srihari. Opinionminer: a novel machine learning system for web opinion mining and extraction. In KDD '09.
11. Y. Jo and A. H. Oh. Aspect and sentiment unification model for online review analysis. In WSDM '11.
12. H. Lakkaraju, C. Bhattacharyya, I. Bhattacharya, and S. Merugu. Exploiting coherence for the simultaneous discovery of latent facets and associated sentiments. In SDM '11.
13. F. Li, C. Han, M. Huang, X. Zhu, Y.-J. Xia, S. Zhang, and H. Yu. Structure-aware review mining and summarization. In COLING '10.
14. F. Li, M. Huang, and X. Zhu. Sentiment analysis with global topics and local dependency. In AAAI '10.
15. C. Lin and Y. He. Joint sentiment/topic model for sentiment analysis. In CIKM '09.
16. B. Liu. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, chapter 11. Springer, 2007.
17. B. Liu, M. Hu, and J. Cheng. Opinion observer: analyzing and comparing opinions on the web. In WWW '05.
18. Y. Lu, P. Tsaparas, A. Ntoulas, and L. Polanyi. Exploiting social context for review quality prediction. In WWW '10.
19. Y. Lu, C. Zhai, and N. Sundaresan. Rated aspect summarization of short comments. In WWW '09.
20. B. M. Marie-Catherine de Marneffe and C. D. Manning. Generating typed dependency parses from phrase structure parses. In LREC '06.
21. S. Moghaddam and M. Ester. ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews. In SIGIR '11.
22. S. Moghaddam and M. Ester. Opinion Digger: an unsupervised opinion miner from unstructured product reviews. In CIKM '10.
23. S. Moghaddam, M. Jamali, and M. Ester. ETF: Extended Tensor Factorization model for personalizing prediction of review helpfulness. In WSDM '12.
24. M. F. Porter. An algorithm for suffix stripping. Readings in information retrieval, 1997.
25. I. Titov and R. McDonald. A joint model of text and aspect ratings for sentiment summarization. In ACL-HLT '08.
26. I. Titov and R. McDonald. Modeling online reviews with multi-grain topic models. In WWW '08.
27. H. Wang, Y. Lu, and C. Zhai. Latent aspect rating analysis without aspect keyword supervision. In KDD '11.
28. T.-L. Wong, L. Bing, and W. Lam. Normalizing web product attributes and discovering domain ontology with minimal effort. In WSDM '11.
29. T.-J. Zhan and C.-H. Li. Semantic dependent word pairs generative model for fine-grained product feature mining. In PAKDD '11.
30. W. X. Zhao, J. Jiang, H. Yan, and X. Li. Jointly modeling aspects and opinions with a maxent-lda hybrid. In EMNLP '10.