Opinion Mining and Sentiment Analysis on Product Reviews
K. Chitra, A. Tamilarasi, S. Gopika Dharani, P. Keerthana, T. Madhumitha · 2022 International Conference on Computer Communication and Informatics (ICCCI) · 2022
Opinion mining and sentiment analysis are two popular topics for analyzing and extracting information from diverse sources such as Amazon, Face book, and Twitter. It helps businesses make better decisions during online purchasing by allowing them to work actively on refining their business strategy and obtaining an in-depthknowledge of the buyer's opinion about the goods. It includes a computational analysis of an individual's buying behaviors and then mining their opinions about a company's corporate entity. There were many Machine learning algorithms which is applied to classify the user opinions. In this paper, the proposed work will be done with one of the machine learning algorithms called Naïve Bayes and Support Vector machine for the best results and accuracy, the datasets are gathered from amazon.com website for laptop product.