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Design feedback analysis system for E-commerce organization

机译:电子商务组织的设计反馈分析系统

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摘要

E-Commerce website becomes more important in our day todays life because of varieties of information provided by it. 75 percent People are using it for purchasing online products. Buyers' comments are playing important role in taking decision regarding purchasing of products. As number of online products, their sales and comments are increasing day by day, it is not possible for potential consumer to review all comments and take decision based on them. Therefore in this paper a feedback analysis system is designed which will analyze users' reviews regarding different products by applying different data mining techniques like opinion mining, information filtering and sentimental analysis. This helps in rating the products and calculating trust score for the E-commerce organization.
机译:电子商务网站由于其提供的各种信息而在当今的生活中变得越来越重要。 75%的人正在使用它来购买在线产品。买方的评论在决定购买产品时起着重要的作用。随着在线产品的数量,其销售和评论日益增加,潜在的消费者不可能查看所有评论并根据它们做出决定。因此,本文设计了一种反馈分析系统,该系统将通过应用不同的数据挖掘技术(如意见挖掘,信息过滤和情感分析)来分析用户对不同产品的评论。这有助于对产品进行评级并为电子商务组织计算信任度。

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