PRODUCT RECOMMENDATION SYSTEM USING SENTIMENT ANALYSIS

Abstract

This project is an E-Commerce web application where the registered user will view the product and product features and will comment about the product.In this paper, we proposed a methodology that performs sentiment analysis on product reviews collected from different customers of ecommerce sites.This system is basically the combination of recommendation model, ecommerce platform, and sentimental analysis together.The idea behind sentiment analysis is to determine polarity of textual opinion given by person.Sentiment Analysis is useful in product recommendations.Based on the reviews given by the user; the products can be recommended to another user.Major product websites are using sentiment analysis to understand the popularity and problems with the product.Once user login the system he can view the product and product features.After viewing product user can comment about the product.User can also view comment of other users.The role of the admin is to add product to the system and to add keywords in database.User can easily find out correct product for his usage.This application also works as an advertisement which makes many people aware about the product.This system is also useful for the users who need review about a product.Analysis of sentiments is to analyses the natural language and to find the emotions, express by the human beings.