This paper proposes an aspect ranking framework which automatically finds out the most useful aspects of product. The main advantage of this paper is , it identifies important aspects based on the product, which increases the efficiency of the reviews. The proposed framework and its components are domain-independent. The aim of paper is to provide better quality products to customer.

1. Zheng-Jun Zha, J. Yu, J. Tang, M. Weng and T. Chua," Product Aspect Ranking and Its Applications" 2014.
2. B. Liu, Sentiment Analysis and Opinion Mining. Mogarn & Claypool Publishers, San Rafael, CA, USA, 2012.
3. ComScore Reports [Online]. Available:http://www. comscore. com/Press_events/Press_releases, 2011
4. J. Yu, Z. -J. Zha, M. Wang, and T. S. Chua, "Aspect ranking: Identifying important product aspects from online consumerreviews," inProc. ACL, Portland, OR, USA, 2011, pp. 1496–1505
5. G. Paltoglou and M. Thelwall, "A study of information retrievalweighting schemes for sentiment analysis," inProc. 48th Annu. Meeting ACL, Uppsala, Sweden, 2010, pp. 1386–1395
6. A. Ghose and P. G. Ipeirotis,"Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics," IEEE Trans. Knowl. Data Eng. , vol. 23, no. 10, pp. 1498–1512. Sept. 2010.
7. V. Gupta and G. S. Lehal, "A survey of text summarization extractive techniques," J. Emerg. Technol. Web Intell, vol. 2, no. 3, pp. 258–268, 2010.
8. W. Jin and H. H. Ho, "A novel lexicalized HMM-based learning framework for web opinion mining," in Proc. 26th Annu. ICML, Montreal, QC, Canada, 2009, pp. 465–472.
9. B. Liu, "Sentiment analysis and subjectivity," in Handbook of Natural Language Processing, New York, NY, USA: Marcel Dekker, Inc. , 2009.
10. L. Zhao, L. Wu, and X. Huang, "Using query expansion in graphbased approach for query focused multi-document summarization,"J. Inform. Process. Manage. , vol. 45, no. 1, pp. 35–41, Jan. 2009.
11. B. Pang and L. Lee, "Opinion mining and sentiment analysis," in Found. Trends Inform. Retrieval, vol. 2, no. 1–2, pp. 1–135, 2008.
12. V. Sindhwani and P. Melville, "Document-word co-regularization for semi-supervised sentiment analysis," in Proc. 8th IEEE ICDM, Pisa, Italy, 2008, pp. 1025–1030.

Product Aspects Aspect Ranking Aspect Identification Sentiment Classification Consumer Review Extractive Review Summarization