SENTIMENTAL ANALYSIS OF CUSTOMER PRODUCT REVIEWS USING MACHINE LEARNING
Dileep Kankatala, B.Indira · International Journal of Engineering Technology and Management Sciences · 2022
Today, computerized surveys assume a vital part in improving worldwide correspondences among purchasers and impacting buyer purchasing conduct. Online business monsters like Amazon, Flipkart, and so forth give a stage to purchasers to share their experience and give genuine bits of knowledge about the exhibition of the item to future purchasers. To extricate significant experiences from an enormous arrangement of surveys, grouping of surveys into positive and negative opinion is required. Opinion Analysis is a computational report to remove emotional data from the text. In the proposed work, surveys have been characterized into positive and negative opinions utilizing Sentiment Analysis. Out of the different arrangement models, Naïve Bayes, Support Vector Machine (SVM) and Decision Tree have been utilized for characterization of audits. The assessment of models is finished utilizing 10 Fold Cross Validation