Recommender System Based On Collaborative Filtering Using Polarity Improvement in Sentiment Analysis
Subject Areas : Majlesi Journal of Telecommunication DevicesAlaleh Hosseini Charyani 1 , Alireza Norouzi 2
1 - Iran
2 - Majlesi Branch, Islamic Azad University, Islamic Republic of Iran
Keywords:
Abstract :
REFERENCES
[1] J.J. McCauley, J. Leskovec, "Hidden factors and hidden topics: understanding rating dimensions with review text", in: Seventh ACM Conference on Recommender Systems, RecSys ’13, Hong Kong, China, October 12–16, 2013, 2013, pp. 165–172.
[2] D.M. Blei, A.Y. Ng, M.I. Jordan, "Latent Dirichlet allocation", J. Mach.Learn. Res. 3 (2003) 993–1022,
[3] Y. Jo, A.H. Oh, "Aspect and sentiment unification model for online review analysis", in: Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong,China, February 9–12, 2011, 2011, pp. 815–824.
[4] A. Popescu, O. Etzioni, "Extracting product features and opinions from reviews", in: Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, HLT/EMNLP 2005.
[5] B. Pang, L. Lee, S. Vaithyanathan," Sentiment classification using machine learning techniques", in: Proceedings of EMNLP,2002, pp. 79-86,
http://www.cs.cornell.edu/home/llee/papers/sentiment.pdf.
[6] I. Titov, R.T. McDonald, "A joint model of text and aspect ratings for sentiment summarization", in: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, ACL 2008, June 15–20, 2008, Columbus, Ohio, USA, 2008, pp. 308–316, http://www.aclweb.org/anthology/P08-1036.
[7] Y. Wu, M. Ester, Flame,"A probabilistic model combining aspect based opinion mining and collaborative filtering", in: Eighth ACM International Conference on Web Search and Data Mining, 2015,pp. 199–208.
[8] B. Pang, L. Lee, "Opinion mining and sentiment analysis", Found.Trends Inf. Retr. 2 (1–2) (2007) 1–135, http://dx.doi.org/10.1561/1500000011.
[9] W. W. H. Wang, "Opinion-enhanced collaborative filtering for recommender systems through sentiment analysis", New Review of Hypermedia and Multimedia", 2015.
[10] G. K. Mukund Deshpande, "Item-based top-N recommendation algorithms," ACM Transactions on Information Systems, vol. 22, pp. 143-177.