Design feedback analysis system for E-commerce organization

E-Commerce website becomes more important in our day todays life because of varieties of information provided by it. 75 percent People are using it for purchasing online products. Buyers' comments are playing important role in taking decision regarding purchasing of products. As number of online products, their sales and comments are increasing day by day, it is not possible for potential consumer to review all comments and take decision based on them. Therefore in this paper a feedback analysis system is designed which will analyze users' reviews regarding different products by applying different data mining techniques like opinion mining, information filtering and sentimental analysis. This helps in rating the products and calculating trust score for the E-commerce organization.