Analysis of Customer Reviews using Deep Neural Network

Customer Review Analysis has become a most important application of Businesses. This will enable the business to analyze the text data and know the sentiment of the customers on their business entities in the market. It requires a thorough computational study of the behavior of discrete entities with respect to customers purchasing affinity and extracting the customer’s point of view about the business entity. The business performance is always measured with customers satisfaction. In this era of e-commerce and social networking, the launching of a new product has to undergo with deep study of customers views on existing products and their requirements in the product. Since a huge amount of reviews are being generated from various source, thereby it is becoming exceedingly difficult to make sense of the data. This project considers the problem of analyzing reviews by their overall semantic that is, positive, negative and neutral behavior. In this work a Webapp is developed that classifies the review to any of the 3 cases. The work here is analyzing and classifying the Product Reviews using Deep Learning.