Supervision of Suspicious Interactions on Online Forums Using Text Data Mining

Abstract

In today’s world,an e-commerce website’s healthy growth is seen only when there is a huge presence of its user.The presence of users is seen in virtual world by the reviews they post after they use or buy the product.The reviews given to a single product determines whether the product holds credibility. In recent times it is seen that the companies tend to provide reviews to its own product in order to increase its sales,and on other hand there are some users who tend to degrade the product by giving fake negative reviews.Hence,a system which can detect such types of fake reviews, be it positive or negative is needed.These reviews are also important in terms of the future progress of the ecommerce website a as this reviews helps to overcome the negative aspects in the e-commerce website.