首页> 外文期刊>International Journal of Service Science, Management, Engineering, and Technology >Using Word Trees, Word Networks, and Tag Clouds to Provide Meaningful Insights: A Case Study of Electronic Word of Mouth for Hotel Service Delivery
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Using Word Trees, Word Networks, and Tag Clouds to Provide Meaningful Insights: A Case Study of Electronic Word of Mouth for Hotel Service Delivery

机译:使用词树,词网络和标签云提供有意义的见解:用于酒店服务交付的电子口碑案例研究

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摘要

The combined use of data mining techniques and qualitative consumer reports can provide meaningful insights into service performance and relevant decision making. In several case studies, the authors combine qualitative comments from an online hotel feedback website about popular travel destinations, as reported by business, pleasure, and mixed-use travelers. After extracting 1,893 useable customer comments, using a web spider application, the study software produced summaries of qualitative comments in the form of tag clouds, word networks, and word tree images. This technologically enabled analysis of consumer-reported information provides consumer researchers with more objective ratings of qualitative consumer assessments of their experience across various units of analysis, with several applications for corporate and operational management. Furthermore, several implications inform consumer researchers and corporate consumer research departments about effective ways to investigate and serve industry. This study also has several limitations that suggest routes for further research.
机译:数据挖掘技术和定性消费者报告的结合使用可以提供有关服务性能和相关决策的有意义的见解。在一些案例研究中,作者结合了在线酒店反馈网站上有关受欢迎的旅游目的地的定性评论,如商务,休闲和混合用途旅行者报告的那样。在使用网络蜘蛛应用程序提取了1,893条可用的客户评论之后,该研究软件以标签云,单词网络和单词树图像的形式生成了定性评论摘要。这种对消费者报告的信息进行技术分析的方法,可以为消费者研究人员提供客观的定性评估,以定性评估消费者在各种分析单位中的经验,并为企业和运营管理提供多种应用程序。此外,有多种含义可为消费者研究人员和公司消费者研究部门提供有关调查和服务行业的有效方法的信息。该研究还存在一些局限性,为进一步研究提出了建议。

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