Business intelligence from online product review-a rough set based rule induction approach

T. K. Das, D. Acharjya, M. Patra
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引用次数: 8

Abstract

In this paper we have explained the detailed work done in developing a framework which can be used for the purpose of discovering business intelligence with the help of decision rules induced from the customer reviews of a product or a service posted online. We have explained the analysis for the product Samsung Galaxy S5. Our proposed framework has been designed by collecting the reviews from Samsung home page, preprocessing it and inducing rules by using rough set based LEM2 algorithm. The induced rules would be helpful for Business analyst in understanding the product dimensions, attributes and inherent association among them.
在线产品评论的商业智能——基于粗糙集的规则归纳方法
在本文中,我们解释了开发框架的详细工作,该框架可用于通过在线发布的产品或服务的客户评论诱导的决策规则来发现商业智能。我们已经解释了对产品三星Galaxy S5的分析。本文提出的框架是通过收集来自三星主页的评论,使用基于粗糙集的LEM2算法对其进行预处理并归纳规则而设计的。归纳出的规则有助于业务分析人员理解产品的维度、属性以及它们之间的内在联系。
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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