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A New Approach for Identifying Manipulated Online Reviews using Decision Tree

Now-a-days an internet has become an essential thing, as it provides more facilities to its users. There are many social networking sites which offer users to share their views. People share their thoughts about politics, social issues as well as about different products. It is a common practice today that before purchasing anything user checks the reviews of that product online. There are multiple sites which deal with these reviews. They provide ratings for the products as well as show comparison between different products. Some enterprises attempt to create fake reviews to affect customer behaviours and increase their sales. But, how to identify those fake reviews is a difficult task for customers. In today’s world of competition it is necessary for any enterprise to maintain its reputation in a market. So it is necessary for both, i.e. enterprise and customer to identify manipulated reviews. This paper studies different approaches for identifying manipulated reviews and proposes a new approach to identify those manipulated reviews using Decision Tree (DT). Keywords—Review Manipulation, Decision Tree, Feature Selection, Ensemble Decision tree.