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Design feedback analysis system for E-commerce organization

机译:电子商务组织设计反馈分析系统

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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:由于它提供的信息各种信息,电子商务网站在我们的日子里变得更加重要。 75%的人正在使用它来购买在线产品。买家的评论在对购买产品的决策方面发挥着重要作用。由于在线产品的数量,他们的销售和评论日益增加,潜在的消费者不可能审查所有评论并根据他们采取决定。因此,在本文中,设计了一种反馈分析系统,该系统将通过应用意见采集,信息滤波和感伤分析等不同的数据挖掘技术来分析有关不同产品的用户评论。这有助于评估产品和计算电子商务组织的信任分数。

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