International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 104

Survey Paper | Earth Science and Engineering | India | Volume 3 Issue 10, October 2014


Survey on CommTrust: Multi-Dimensional Trust using Mining E-Commerce Feedback Comments

Pooja Uttam Chavan | R. P. Kulkarni [3]


Abstract: In ecommerce applications, the Reputation based trust models are very admired. For computing sellers reputation trust scores feedback ratings are gathered together. A CommTrust system is proposed which uses the observation made by buyers mostly to express opinions about the product in free text feedback review. These feedback review comments are mined. In CommTrust 1) for computing reputation scores from user feedback comments, a multidimensional trust model is proposed 2) an algorithm is proposed for mining feedback comments which are used for weights and ratings of dimension; natural language processings combining techniques, opinion mining, and topic modeling. After testing it on various websites like Amazon and eBay, the CommTrust proved to be very effective.


Keywords: Electronic commerce, CommTrust, text mining, Repudiation based models, Sentiment Analysis


Edition: Volume 3 Issue 10, October 2014,


Pages: 2368 - 2370


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How to Cite this Article?

Pooja Uttam Chavan, R. P. Kulkarni, "Survey on CommTrust: Multi-Dimensional Trust using Mining E-Commerce Feedback Comments", International Journal of Science and Research (IJSR), Volume 3 Issue 10, October 2014, pp. 2368-2370, https://www.ijsr.net/get_abstract.php?paper_id=OCT14706

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