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Survey Paper | Earth Science and Engineering | India | Volume 3 Issue 10, October 2014 | Rating: 6.2 / 10
Survey on CommTrust: Multi-Dimensional Trust using Mining E-Commerce Feedback Comments
Pooja Uttam Chavan, R. P. Kulkarni
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