Sentiment Based Product Recommendation System for E-Commerce Using Machine Learning Approaches

  • Mohammed M
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Abstract

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.

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APA

Mohammed, M. A. (2022). Sentiment Based Product Recommendation System for E-Commerce Using Machine Learning Approaches. International Journal of Innovative Research in Computer Science & Technology, 10(6), 120–137. https://doi.org/10.55524/ijircst.2022.10.6.20

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