Opinion Mining on E-Commerce Data Using Sentiment Analysis and K-Medoid Clustering

This study aimed to analyze sentiment opinions to find out the opinions of users on an e-commerce Web. The method used was through analyzing text reviews obtained from customers on an e-commerce website. The algorithm used was k-medoid clustering.