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Novel Approach for Mining E-Commerce Feedback Comments Using Comm Trust Data Mining Algorithm

Author(s):

Suraj Nagnath Gund , DR.D.DY.PATIL SCHOOL OF ENGINEERING,PUNE; Akash Gaykwad, DR.D.DY.PATIL SCHOOL OF ENGINEERING,PUNE; Payal Nikam, DR.D.DY.PATIL SCHOOL OF ENGINEERING,PUNE; Akshada Patil, DR.D.DY.PATIL SCHOOL OF ENGINEERING,PUNE; Prof. Pankaj Agarkar

Keywords:

Opinion Mining, Topic Modeling, Social Network, Recommendation System, Similarity Graph, Aspect Miming

Abstract

Now a day’s E-commerce applications like flip card, Amazon, shop clues are more popular. On that site there are number of sellers or products And many users purchases the number of product from E-commerce sites. But user getting the problem to select the trustworthy sellers. For that we develop the proposed system to guide the users in a proper way so that they can choose the correct seller between the different available sellers on E-commerce. There are different sellers as per their services and quality they provide product to users. User can give review for particular dimensions of sellers such as quality, service, delivery etc. Review can be negative or positive and to calculate the final score of each sellers in particular dimensions we used different technique. So here we represent the opinion miming, aspect miming for the review mining or feedback mining.

Other Details

Paper ID: IJSRDV4I30249
Published in: Volume : 4, Issue : 3
Publication Date: 01/06/2016
Page(s): 207-209

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