Product Review Classification using Machine Learning and Statistical Data Analysis

1e416013186c20a17cb4d7b 20230720024830333 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2023 12 2 Product Review Classification using Machine Learning and Statistical Data Analysis Dartmouth College Hanover, NH, USA. Kajal Singh https://orcid.org/0009-0001-2274-8664 The aim of the paper is to implement and analyze the machine learning models for product review dataset. The project focuses on binary classification, multi-class classification, and clustering approaches to analyze and categorize product reviews. The performance of the models over each of the five classification tasks is measured by the 5-fold cross-validation scores over the training data. 07 30 2023 91 96 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true International Journal of Recent Technology and Engineering (IJRTE) No, I did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. I am only the sole author of the article. 10.35940/ijrte.A7530.0712223 https://www.ijrte.org/portfolio-item/A75300512123/