AN APPROACH TO E-COMMERCE PRODUCT RATING BASED CUSTOMER REVIEW MINING

Abstract

Author(s): Mr. J.Jelsteen, Mr. Shebin Baby.C, Mr. Arjun Narayanan

The system takes review of various users, based on the review, system will specify whether the products and services provided by the E-commerce enterprise is good, bad, or worst. We use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user review is ranked. This system is a web application where user will view various products and purchase products online and can give review about the merchandise and online shopping services. This system will help many E-commerce enterprises to improve or maintain their services based on the customer review as well as to improve the merchandise based on the customer review.