SumView: A Web-based engine for summarizing product reviews and customer opinions

Expert Systems with Applications

Volumn 40, Issue 1, 2013, Pages 27-33

  Wang, Dingding ^a   Zhu, Shenghuo ^b   Li, Tao ^a  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^b NEC LABORATORIES AMERICA   (United States)

Author keywords

Matrix factorization; Opinion mining; Product review; Summarization

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; FACTORIZATION; INFORMATION RETRIEVAL SYSTEMS; SENTIMENT ANALYSIS;

MATRIX FACTORIZATIONS; PRODUCT FEATURE; PRODUCT REVIEWS; REVIEW ANALYSIS; SENTIMENT CLASSIFICATION; SUMMARIZATION; SUMMARIZATION SYSTEMS; USERS' SATISFACTIONS;

WEBSITES;

EID: 84866061339     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.05.070     Document Type: Article

References (32)

1. Archak, N., Ghose, A., & Ipeirotis, P. G. (2007). Show me the money!: Deriving the pricing power of product features by mining consumer reviews. In Proceedings of SIGKDD.
2. Carenini, G., Ng, R. T., & Pauls, A. (2006). Multi-document summarization of evaluative text. In Proceedings of EACL.
3. K.-W. Cheung, J.T. Kwok, M.H. Law, and K.-C. Tsui Mining customer product ratings for personalized marketing Decision Support Systems 35 2 2003 231 243
4. Conroy, J., & O'Leary, D. (2001). Text summarization via hidden markov models. In Proceedings of SIGIR (pp. 406-407).
5. Copernic. (2005). .
6. Cui, H., Mittal, V., & Datar, M. (2006). Comparative experiments on sentiment classification for online product reviews. In Proceedings of AAAI.
7. Erkan, G., & Radev, D. (2004). Lexpagerank: Prestige in multi-document text summarization. In Proceedings of EMNLP.
8. Gamon, M., Aue, A., Corston-Oliver, S., & Ringger, E. (2005). Pulse: Mining customer opinions from free text. In Proceedings of the 6th international symposium on intelligent data analysis.
9. Goldstein, J., Kantrowitz, M., Mittal, V., & Carbonell, J. (1999). Summarizing text documents: Sentence selection and evaluation metrics. In Proceedings of SIGIR (pp. 121-128).
10. Gong, Y., & Liu, X. (2001). Generic text summarization usingrelevance measure and latent semantic analysis. In Proceedings of SIGIR (pp. 75-95).
11. Hu, M., & Liu, B. (2004). Mining and summarizing customer reviews. In Proceedings of SIGKDD (pp. 168-177).
12. Jin, W., Ho, H. H. & Srihari, R. K. (2009). Opinionminer: A novel machine learning system for Web opinion mining and extraction. In Proceedings of SIGKDD.
13. Lee, D. & Seung, H. (2001). Algorithms for non-negative matrix factorization. In NIPS.
14. S. Lee, Z.W. Jian, and L.K. Huang A fuzzy ontology and its application to news summarization IEEE Transactions on System, Man, and Cybernetics - PartB: Cybernetics 35 5 2005 859 880
15. Li, T., & Ding, C. (2006). The relationships among various nonnegative matrix factorization methods for clustering. In Proceedings of IEEE international conference on data mining (pp. 362-371).
16. T. Li, Y. Zhang, and V. Sindhwani A non-negative matrix tri-factorization approach to sentiment classification with lexical prior knowledge Proceedings of the 47th Annual Meeting of the ACL 1 2009 244 252
17. Lin, C.-Y., & Hovy, E. (2003). Automatic evaluation of summaries using n-gram co-occurrence statistics. In Proceedings of NLT-NAACL (pp. 71-78).
18. Lu, Y., Zhai, C., & Sundaresan, N. (2009). Rated aspect summarization of short comments. In Proceedings of the 18th international conference on world wide web: WWW '09 (pp. 131-140).
19. Meng, X., & Wang, H. (2009). Mining user reviews: From specification to summarization. In Proceedings of ACL-IJCNLP.
20. Miao, Q., Li, Q., & Dai, R. (2008). An integration strategy for mining product features and opinions. In Proceedings of CIKM.
21. Mihalcea, R., & Tarau, P. (2005). A language independent algorithm for single and multiple document summarization. In Proceedings of IJCNLP 2005.
22. G.A. Miller Wordnet: A lexical database for english Communications of the ACM 38 11 1995 39 41
23. Pang, B., Lee, L., & Vaithyanathan, S. (2002). Thumbs up? sentiment classification using machine learning techniques. In Proceedings of EMNLP.
24. W. Pedrycz, and P. Rai A multifaceted perspective at data analysis: A study in collaborative intelligent agents IEEE Transactions on System, Man, and Cybernetics - PartB: Cybernetics 38 4 2008 1062 1072
25. Popescu, A.-M., Nguyen, B., & Etzioni, O. (2005). Opine: Extracting product features and opinions from reviews. In Proceedings of HLT/EMNLP on interactive demonstrations.
26. D. Radev, H. Jing, M. Stys, and D. Tam Centroid-based summarization of multiple documents Information Processing and Management 2004 919 938
27. Shen, D., Sun, J.-T., Li, H., Yang, Q., & Chen, Z. (2007). Document summarization using conditional random fields. In Proceedings of IJCAI (pp. 2862-2867).
28. Somprasertsri, G., Lalitrojwong, P. (2008). A maximum entropy model for product feature extraction in online customer reviews. In Proceedings of CIS.
29. G. Tellis, and J. Johnson The value of quality Marketing Science 26 6 2007 758 773
30. Wan, X., & Yang, J. (2008). Multi-document summarization using cluster-based link analysis. In Proceedings of the thirty-first annual international SIGIR conference.
31. Wan, X., Yang, J., & Xiao, J. (2007). Manifold-ranking based topic-focused multi-document summarization. In Proceedings of IJCAI (pp. 2903-2908).
32. Yi, J. & Niblack, W. (2005). Sentiment mining in webfountain. In Proceedings of ICDE.