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Cluster Analysis of Online Shop Product Reviews Using K-Means Clustering

机译:使用K-means群集的在线商店产品评论的集群分析

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Purpose:This research aims to mine review data on one of the e-commerce sites which ultimately produces clusters using the K-Means Clustering algorithm that can help potential customers to make a decision before deciding to buy a product or service.Design/methodology/approach: By using Octoparse we mine opinion or comment data in the form of customer online reviews, after getting the data we group the data using the k-emans clustering methode to obtain clusterFindings: Cluster Analysys can can help potential customers to make a decision before deciding to buy a product or serviceResearch limitations/implications: WWW.Lazada.ComPractical implications: State your implication here.Originality/value:Paper type: This paper can be categorized as case study paper   
机译:目的:本研究旨在挖掘一个电子商务网站上的审查数据,这些网站最终使用K-means聚类算法产生集群,这些算法可以帮助潜在客户在决定购买产品或服务之前做出决定.design/methodology/方法:通过使用octoparse我们的意见或评论数据以客户在线评论的形式,使用k-emans群集methode获取数据以获取clusterfindings:群集分析可以帮助潜在客户在之前做出决定决定购买产品或服务开采局限性/含义:www.lazada.20 ..LAZADA.CWARTICALICALICALICALICALICALICALICAL:陈述您的含义。更多范围/值:纸张类型:本文可以归类为案例研究论文

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