IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 10 Issue 6 Electrical and Electronics Engineering English November - December 2022 N N Y 2022 12 08 Computer Sciences Sentiment Based Product Recommendation System for E-Commerce Using Machine Learning Approaches English Y 120 137 Muzakkiruddin Ahmed Mohammed English Y https://doi.org/10.55524/ijircst.2022.10.6.20 Today, e-commerce is a thriving industry. We do not need to approach every customer to accept their orders here. A business creates a website to offer things to clients, who can then purchase the stuff they need within the same website. These e-commerce firms include well-known ones like Amazon, Shopify, Myntra, Flipkart, and Ajio. To create a product recommendation system for the end customers, we will be using the data set of e-commerce product reviews in this final project. A sentiment analysis model will be used to enhance the suggestions. Under this final project, we will develop a sentiment analysis engine utilising a variety of machine learning approaches before selecting the model that produces the best results. English Recommender Systems; Logistic Regression and Analysis; Random Forest; Xgboost; Hyperparameter Tuning; Deployment. https://ijircst.org/abstract.php?article_id=1065