This project aims to develop a sentiment analysis system for product rating. It is an e-commerce web application. The main goal of this sentiment analysis system is to understand the hidden sentiments of customers in feedback and comments and analyze their product rating patterns.

This web application uses opinion mining methodology for improved decision making and enhancing customer experience. The application collects and analyzes the comments and feedback on different users on social networking platforms (Facebook, Instagram, Twitter, etc.) and categorizes them as positive and negative reviews.