Integrating web feed opinions into a corporate data warehouse

BEWEB '11 Pub Date : 2011-03-25 DOI:10.1145/1966883.1966891
Lisette García-Moya, Shahad Kudama, M. Cabo, Rafael Berlanga Llavori
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引用次数: 22

Abstract

Web opinion feeds have become one of the most popular information sources users consult before buying products or contracting services. Negative opinions about some product can have a high impact in its sales figures. As a consequence, companies are more and more concerned about how to integrate this information in their Business Intelligence (BI) models so that they can predict sales figures or define new strategic goals. In this paper, we present an approach to integrate sentiment data extracted from web feeds into the corporate warehouse where company analytical data and models are stored. Such an integration allows users to perform new analysis tasks by using the traditional OLAP-based data warehouse operators. We have developed a case study over a set of real opinions about digital devices which are offered by a wholesaler company. Over this case study, the quality of the extracted sentiment data is evaluated, and some query examples that illustrate the potential uses of the integrated model are presented.
将网络提要意见集成到企业数据仓库中
网络意见提要已经成为用户在购买产品或承包服务之前最受欢迎的信息来源之一。对某些产品的负面评价会对其销售数字产生很大影响。因此,公司越来越关注如何将这些信息集成到其商业智能(BI)模型中,以便预测销售数字或定义新的战略目标。在本文中,我们提出了一种方法,将从web提要中提取的情绪数据集成到存储公司分析数据和模型的公司仓库中。这样的集成允许用户通过使用传统的基于olap的数据仓库操作符来执行新的分析任务。我们已经开发了一个案例研究,对一组真实的意见,数字设备是由一家批发公司提供。在本案例研究中,对提取的情感数据的质量进行了评估,并给出了一些查询示例,说明了集成模型的潜在用途。
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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