Sentiment analysis of online product reviews using Lexical Semantic Corpus-Based technique

Large number of product reviews may help the product looks more interesting, but it also may cause difficulties for customers in deciding to buy the product. The seller will also be facing difficulties such as to improve the quality of their product due to the huge number of reviews. The aim of this project is to develop a web-based system for customers and sellers to get an analysis of the online product reviews. The customer and seller will get the visualization for the positive, neutral, and negative distributions of the product reviews. The system uses MySQL as a database and Python as a programming language for development of the system. For the future work, the system could be able to compare the analysis of product reviews from other brands.