{"title":"Opinion Mining on E-Commerce Data Using Sentiment Analysis and K-Medoid Clustering","authors":"U. Rahardja, T. Hariguna, Wiga Maaulana Baihaqi","doi":"10.1109/Ubi-Media.2019.00040","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"44","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Ubi-Media.2019.00040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 44
Abstract
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
