Sentiment Analysis of Online Products

Abstract

Due to the rapidly increasing technology, the trends of Online shopping have also increased, and this form of e-commerce allows the services of buying and selling over the Web browser, where the user finds the product of their interest using a search engine. Sentiment Analysis of Online Products is a tool which works as a search engine to search the mobile products, where it provides an analysis among different mobile retailers over the same searched product and the retailers in this system are from the selected Websites. The searched mobile product is displayed to the user after analyzing the ratings/reviews and price of that product present alternatively at different retailing sites mentioned. After analysis, the displayed information helps the user to select the most optimal product. The goal of Sentiment Analysis of Online products is that this system aimed and serves two aspects, optimal and reliable. On the basis of these two aspects, the crawler is used, and rating is analyzed to search the optimal product and reliable website.