Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. J. C. Bezdek and R. J. Hathaway, “Convergence ofalternatingoptimization,” J. Neural Parallel Scientific Comput.,vol. 11, no. 4,pp. 351–368,2003.
    2. C. C. Chang and C. J. Lin. (2004). LibBVM: A library for supportivetomachine[Online].available:http://www.csie.ntu .edu.tw/∼cjlin/libBVM/
    3. G. Carenini, R. T. Ng, and E. Zwart, “Multidocumentsummarizationof evaluative text,” in Proc. ACL, Sydney, NSW,Australia,2006, pp. 3–7.
    4. China Unicom 100 Customers iPhone User Feedback Report,2009.
    5. ComScore Reports Onlene available:http://www.comscore.com/Press_events/Press_re leases, 2011.
    6. X. Ding, B. Liu, and P. S. Yu, “A holistic lexiconbasedapproachto opinion mining,” in Proc. WSDM, New York, NY,USA, 2008,pp. 231–240.
    7. G. Erkan and D. R. Radev,“LexRank: Graph-based lexical centralityas salience in text summarization,” J. Artif. Intell. Res., vol. 22,no. 1, pp. 457–479, Jul. 2004.
    8. O. Etzioniet al., “Unsupervised named-entity extraction from theweb: An experimental study,” J. Artif. Intell., vol. 165, no. 1, pp.91–134. Jun. 2005.
    9. A. Ghose and P. G. Ipeirotis,“Estimating the helpfulness andeconomic impact of product reviews: Mining text and reviewercharacteristics,” IEEE Trans. Knowl. Data Eng., vol. 23, no. 10,pp. 1498–1512. Sept. 2010.
    10. V. Gupta and G. S. Lehal, “A survey of text summarizationextractive techniques,” J. Emerg. Technol. Web Intell., vol. 2, no. 3,pp. 258–268, 2010
    11. W. Jin and H. H. Ho, “A novel lexicalized HMMbased learningframework for web opinion mining,” in Proc. 26th Annu. ICML,Montreal, QC, Canada, 2009, pp. 465–472.
    12. M. Hu and B. Liu, “Mining and summarizing customer reviews,”in Proc. SIGKDD, Seattle, WA, USA, 2004, pp. 168– 177.
    13. K. Jarvelin and J. Kekalainen, “Cumulated gain-based evaluationof IR techniques,” ACM Trans. Inform. Syst., vol. 20, no. 4,pp. 422–446, Oct.2002.
    14. J. R. Jensen, “Thematic information extraction: Image classification,”in Introductory Digit. Image Process. pp. 236–238
    15. K. Lerman, S. Blair-Goldensohn, and R. McDonald, “Sentimentsummarization: Evaluating
    16. F. Li et al., “Structure-aware review mining and summarization,”in Proc. 23rd Int. Conf. COLING, Beijing, China, 2010, pp. 653–661.
    17. C. Y. Lin, “ROUGE: A package for automatic evaluationofsummaries,” in Proc. Workshop Text Summarization BranchesOut,Barcelona, Spain, 2004, pp. 74–81.
    18. B. Liu, M. Hu, and J. Cheng, “Opinion observer: Analyzingandcomparing opinions on the web,” in Proc. 14th Int. Conf. WWW,Chiba, Japan, 2005, pp. 342–351.
    19. K.Manoj Kumar and M.Vikram, "Disclosure of User’sProfile in Personalized Search for Enhanced
    20.  

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