Detection of False Positive Situation in Review Mining

Abstract

As the Internet is evolving at a steeper rate, reviews related to a product have become a vital data which help users to make informed decisions. Users are totally dependent upon those reviews given by customers with the experience they felt and makers depend on these user-generated reviews to apprehend the sentiments of users related to a product. Henceforth, it is mandatory for both makers and users to create a portal where customers can peruse all the reviews in a comprehensive manner in a less amount of time. Considering this, a predictive model is developed that detects false positive reviews from original reviews and ratings are calculated to judge how these fake reviews create confusion in the mind of customers.