Implementation of Support Vector Machine Technique in Feedback Analysis System

Abstract

E-commerce is very popular and interactive these days. Industries that produce new products and selling them on the Web often ask their customers to review the products which they have purchased. These reviews help both i.e. customers as well as producers. Producers get the idea from reviews about how their customers feel about the product which they have purchased and customers who want purchase the product read these reviews and take decision. As the number of responses are available very large in number, manually organizing large set of reviews/responses into required categories and analyzing them is time consuming, expensive and is often not feasible. So automated text classification is done to overcome these constraints. Various techniques can be used for automatic text classification. In this paper Support Vector Machine (SVM) which is a supervised learning technique is used in feedback analysis system which accepts the responses given by students as input preprocess it and lastly applies term weighting algorithm. After applying term weighting algorithm it displays analysis to the particular faculty. General Terms Web, E-commerce, Responses, Techniques