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E-Commerce Reviews Management System Based on Online Customer Reviews Mining

机译:基于在线客户评论挖掘的电子商务评论管理系统

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E-commerce website accumulates a large number of customer reviews for merchandise and online shopping services. E-commerce enterprises and manufacturers could get customer opinion to improve service and merchandise through mining customer reviews. The paper presents a prototype system could be used to track and manage customer reviews, through mining topics and sentiment orientation from online customer reviews. The paper studied Chinese reviews mining processing steps and methods. Finally, this study applied text mining to costumer reviews. Through case study, the method can efficiently identify topics to enterprises.
机译:电子商务网站积累了大量关于商品和在线购物服务的客户评论。电子商务企业和制造商可以通过挖掘客户评论来获得客户意见,以改善服务和商品。本文提出了一个原型系统,该系统可用于通过挖掘主题和来自在线客户评论的情感导向来跟踪和管理客户评论。本文研究了中文评论挖掘的处理步骤和方法。最后,本研究将文本挖掘应用于客户评论。通过案例研究,该方法可以有效地为企业确定主题。

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