PREDICTION OF PRODUCT RATING ON E-COMMERCE USING TEXT MINING, ANALYTICS & NLP

Abstract

In this digital era, multiple terabytes/petabytes of data are being generated every day. With the boost in e-commerce industries over past few years, it has become important for those organizations to provide best services to their customers in order to retain existing customers and to bring new customers. Customers generates plenty of data every day in form of emails, reviews, feedbacks, enquiries, etc. Most of such data falls in category of Text, hence it is has become important for an organization to analyze such data in most optimal manner. It will help them to target specific customers, increase sales, make improvements in products and services. Text Analytics has shown its evident importance in recent few years. It has uncovered various opportunities for the companies to grow in various verticals. This project is focused on how human natural language can be interpreted to perform analytics on it to discover new ideas and improvements to help companies to satisfy and target their customers in an effective manner. The algorithms used in this project will represent their power to understand the sentiments of the customer reviews and/or will categorize the most important text of the reviews generated for e- commerce company.