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Study on the VOC Analyzing Methods Based on Concentrated Web Data

机译:基于集中网数据的VOC分析方法研究

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摘要

Voice of customer (VOC) is a key driving force for product development, as well as a fundamental base of marketing decision-making. The traditional approaches for VOC analysis using face-to-face customer interviews often result in high cost and long lead-time. Thus it is no longer suitable for dynamic response to changing market conditions. With fast growth and application of internet technology, extensive VOC with dynamic information can be collected and exchanged through the web media. In this paper, a new method of exploring and analyzing customer requirements on Web data source is presented. The scope and advantages of this approach are discussed. A systematic mapping framework, from the original web data to structured marketing setting, is constructed. Supporting knowledge base and rule-driven mining methods are also developed. Finally, a case study using car users data is presented to demonstrate the effectiveness of the proposed approach.
机译:客户的声音(VOC)是产品开发的关键推动力,以及营销决策的基础基础。使用面对面客户面试的VOC分析的传统方法经常导致高成本和长期的连续时间。因此,它不再适用于对不断变化的市场状况的动态响应。随着互联网技术的快速增长和应用,可以通过网络媒体收集和交换具有动态信息的广泛VOC。本文提出了一种探索和分析客户对Web数据源的要求的新方法。讨论了这种方法的范围和优点。构建了从原始Web数据到结构化营销环境的系统映射框架。还开发了支持知识库和规则驱动的挖掘方法。最后,提出了一种使用汽车用户数据的案例研究以证明所提出的方法的有效性。

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