Sentiment Analysis of Seller Reviews (original) (raw)
2017
Abstract
Online transactions have seen a rapid growth in the last few years and consumer reviews have become an important part of this growing business. Seller Trust Profile can be computed using various models. These models make use of the feedback reviews which consist of ratings as well as comments given by the user. Models that compute seller trust score based on user feedback overlook the important details in the text and give inaccurate trust scores based on user ratings. We propose a novel model for computing seller trust profile based on the user reviews and we would recommend this trust profile to the user.
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