Volume- 10
Issue- 6
Year- 2022
DOI: 10.55524/ijircst.2022.10.6.20 | DOI URL: https://doi.org/10.55524/ijircst.2022.10.6.20 Crossref
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
Article Tools: Print the Abstract | Indexing metadata | How to cite item | Email this article | Post a Comment
Muzakkiruddin Ahmed Mohammed
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.
B. Tech Scholar, Department of Electrical and Electronics Engineering, Lords Institute of Engineering and Technology, Hyderabad, India
No. of Downloads: 53 | No. of Views: 783
K. Naresh, T. Prasanth, C. Gowtham Sai, D. Gopi, B. Swarn Babu, K. Sowjan Kumar , T. Ramaiah, G.V.K. Murthy.
March 2022 - Vol 10, Issue 2
Jatin Yadav, Prashant Kumar, Dr. Neeraj Gupta, Ms. Manjeet Kaur.
July 2020 - Vol 8, Issue 4
S.Ayyappan, K.Banupriya, M.Gomathi, Jebrine Melco.
November 2015 - Vol 3, Issue 6