Summarization of customer reviews for a product on a website using natural language processing
Akkamahadevi R Hanni, Mayur M Patil, Priyadarshini M Patil · 2016
In the recent past, e-commerce sites have made rapid growth. There are thousands of products and various websites sell these products. Massive growth in the number of reviews and their availability along with the advent of opinion-rich review forums for the products sold online, choosing the right one from a large number of products has become difficult for the users. HELP-ME-BUY APP is an android application that assists buyers in online shopping. It is imminent for buyers to verify for genuineness and quality of products. What better way is there than to ask people who have already bought the product? This is when customer reviews come into picture. The major hitch here is popular products have thousands of reviews-we do not have the time or patience to read all thousands of them. Hence, our application eases this task by analyzing and summarizing all reviews which will help the user decide what other buyers have experienced on buying this product. We carry out this process by a number of modules that include feature extraction and opinion extraction which improves the process of analysis and helps in the formation of an efficient summary.