International Journal of Scientific Research in Science, Engineering and TechnologyPrint ISSN : 2395-1990 Online ISSN : 2394-4099 firstname.lastname@example.org
. J. C. Bezdek and R. J. Hathaway, “Convergence of alternating Optimization,” J. Neural Parallel Scientific Compute. vol. 11, no. 4, pp. 351–368, 2003.
. C. C. Chang and C. J. Lin. (2004). Libsvm: A library for support Vector machines [Online]. Available: http://www.csie.ntu.edu.tw/∼cjlin/libsvm/
. G. Carenini, R. T. Ng, and E. Zwart, “Multi-document summarization Of evaluative text,” in Proc. ACL, Sydney, NSW, Australia, 2006, pp. 3–7.
. China Unicom 100 Customers iPhone User Feedback Report, 2009.
. ComScore Reports [Online]. Available: http://www.comscore.com/Press_events/Press_releases, 2011.
. X. Ding, B. Liu, and P. S. Yu, “A holistic lexicon-based approach To opinion mining,” in Proc. WSDM, New York, NY, USA, 2008, pp. 231–240.
. G. Erkan and D. R. Radev, “LexRank: Graph-based lexical centrality As salience in text summarization,” J. Artif. Intel. Res., vol. 22, no. 1, pp. 457–479, Jul. 2004.
. O. Etzioni et al., “Unsupervised named-entity extraction from the Web: An experimental study,” J. Artif. Intell., vol. 165, no. 1, pp. 91–134. Jun. 2005.
. 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.
. 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.
. 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.
. M. Hu and B. Liu, “Mining and summarizing customer reviews,” in Proc. SIGKDD, Seattle, WA, USA, 2004, pp. 168–177.
. K. Jarvelin and J. Kekalainen, “Cumulated gain-based evaluation of IR techniques,” ACM Trans. Inform. Syst., vol. 20, no. 4, pp. 422–446, Oct. 2002.
. J. R. Jensen, “Thematic information extraction: Image classification,” in Introductory Digit. Image Process. pp. 236–238.
. K. Lerman, S. Blair-Goldensohn, and R. McDonald, “Sentiment Summarization: Evaluating and learning user preferences,” in Proc. 12th Conf. EACL, Athens, Greece, 2009, pp. 514–522.
. F. Li et al., “Structure-aware review mining and summarization,” In Proc. 23rd Int. Conf. COLING, Beijing, China, 2010, pp. 653–661.
. C. Y. Lin, “ROUGE: A package for automatic evaluation of summaries,” in Proc. Workshop Text Summarization Branches Out, Barcelona, Spain, 2004, pp. 74–81.
. B. Liu, M. Hu, and J. Cheng, “Opinion observer: Analyzing and comparing opinions on the web,” in Proc. 14th Int. Conf. WWW, Chiba, Japan, 2005, pp. 342–351.
. B. Liu, “Sentiment analysis and subjectivity,” in Handbook of Natural Language Processing, New York, NY, USA: Marcel Dekker, Inc., 2009.
. B. Liu, Sentiment Analysis and Opinion Mining. Mogarn & Claypool Publishers, San Rafael, CA, USA, 2012.
. L. M. Manevitz and M. Yousef, “One-class SVMs for document classification,” J. Mach. Learn., vol. 2, pp. 139–154, Dec. 2011.
. Q. Mei, X. Ling, M. Wondra, H. Su, and C. X. Zhai, “Topic sentiment mixture: Modeling facets and opinions in weblogs,” in Proc. 16th Int. Conf. WWW, Banff, AB, Canada, 2007,pp. 171–180.
. B. Ohana and B. Tierney, “Sentiment classification of reviews using SentiWordNet,” in Proc. IT&T Conf., Dublin, Ireland, 2009'
Cite This Article
Ms. Sangeetha C. K, Ms. MohanaPriya V, Ms. Rashmika S, Mrs. Abirami G, "Multiple Product Aspect Ranking using Sentiment Classification", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.165-169, January-Febuary-2015.
URL : http://ijsrset.com/IJSRSET151137.php
Copyright @ 2017 - International Journal of Scientific Research in Science, Engineering and Technology