COBRA - Mining Web for Corporate Brand and Reputation Analysis

W. Spangler, Ying Chen, Larry Proctor, A. Lelescu, Amit Behal, Bin He, Thomas D. Griffin, Anna Liu, B. Wade, Trevor Davis
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引用次数: 48

Abstract

Corporations are extremely sensitive to issues such as brand stewardship and product reputation. Traditional brand image and reputation tracking is limited to news wires and contact centres analysis. However, with the emergence of Web, consumer generated media (COM), such as blogs, news forums, message boards, and Web pages/sites, is rapidly becoming the "voice of the people". This paper describes a COBRA (corporate brand and reputation analysis) solution that mines a wide range of COM contents for brand and reputation analysis. The solution contains a flexible ETL (Extract, Transform, and Load) engine that processes diverse sets of structured and unstructured information, a suite of analytical capabilities that mines COM content to extract semantic entities and insights out of the data, and an alerting mechanism that utilizes the analytics results to accurately generate brand and reputation alerts. We use a real-world case study to demonstrate the effectiveness of our approach.
COBRA -企业品牌和声誉分析的挖掘网络
企业对品牌管理和产品声誉等问题极为敏感。传统的品牌形象和声誉跟踪仅限于新闻线路和联络中心分析。然而,随着网络的出现,消费者生成的媒体(COM),如博客、新闻论坛、留言板和网页/网站,正迅速成为“人民的声音”。本文描述了一个COBRA(企业品牌和声誉分析)解决方案,该解决方案挖掘了广泛的COM内容,用于品牌和声誉分析。该解决方案包含一个灵活的ETL(提取、转换和加载)引擎,用于处理各种结构化和非结构化信息集,一套分析功能(挖掘COM内容以从数据中提取语义实体和见解),以及一个警报机制(利用分析结果准确生成品牌和声誉警报)。我们使用一个真实的案例研究来证明我们方法的有效性。
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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