Sentiment Analysis of Product Reviews by using Naive Bayes and Vader Models

Online web forums, blogs, and various social media platforms are now used by people to exchange ideas. Internet users occasionally offer reviews and thoughts on various products, brands, and their services. Not only do these product reviews enhance the quality of the product, but also have an impact on consumer purchase choices. Therefore, product review analysis is a well-liked platform where consumers can quickly become aware of their needs. Using the NRC emotion vocabulary, which can be divided into eight fundamental emotions and two sentiments, the six most popular items and consumers are chosen based on the plain text review. The eight different emotion groups in this research, are compared by using word clouds. In this study, 256,059 users and 74,258 products are followed for ten years, and 568,454 reviews of exquisite food are collected. The findings demonstrate how sentiment analysis may be used to pinpoint consumer habits and reduce risks in order to satisfy customers.