Feedback Collection and Sentiment Analysis on the Product Reviews

Abstract

In the recent era, technology and digitalization have completely changed the way of making business and making the decision. This has pushed the companies to transform to keep up with the intense competition. Decision-making is a vital part of all sorts of businesses. A good company is characterized by its ability to make decisions. To make the right decisions, there are several tools that a company uses. Some of the tools are related to research analysis and studies on the analysis. Research-based result analysis will play a major role in helping the company or any business organization to make decisions in favor of the company's product sales. In this paper, the proposed system is to design a Web application to collect feedback for a mobile company. Primarily sends the feedback link to various customers, and then the feedback responses are collected for further analyses. Sentiment analysis is performed using a machine learning technique, namely CART (Classification and Regression Tree). The decision making power gives the accurate result and provide valuable inputs to the companies regarding the areas where the company can improve the product.