基于情感分析和k - media聚类的电子商务数据意见挖掘

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI:10.1109/Ubi-Media.2019.00040

U. Rahardja, T. Hariguna, Wiga Maaulana Baihaqi

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引用次数: 44

摘要

本研究旨在分析情感意见，以了解电子商务网站上用户的意见。使用的方法是通过分析从电子商务网站上的客户那里获得的文本评论。使用的算法是k- medium聚类。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.

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来源期刊

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)

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