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A Content-Based Analysis of Travellers' Social Media Websites

机译:基于内容的旅行者社交媒体网站分析

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This paper describes a content-based analysis of Web-based travellers' social media Websites. The proposed methodology is based on three levels of computer-mediated analysis, namely the lexical analysis, statistical analysis and semantic analysis. It is found that the use of systematic analysis of naturally occurring discussions in social media sites can lead to much stronger information about travellers' destination choices. Web-based social media provides a perspective on travel services and facilities that is deemed more realistic than that provided by firm owners. Monitoring user-generated Web content is a cost-effective method for destination marketers to assess their service quality and improve the overall experience of travellers. In terms of methodological implications, a Web content analysis approach is based on what actually happened and thus has no respondent bias. With both quantitative and qualitative in nature, the methodology is able to identify emergent concepts in grounded research.
机译:本文介绍了基于内容的基于网络的旅行者社交媒体网站的分析。所提出的方法基于三级计算机介导的分析,即词汇分析,统计分析和语义分析。结果发现,在社交媒体网站上自然发生的自然讨论的系统可以导致旅行者目的地选择的更强大信息。基于网络的社交媒体提供了关于旅行服务和设施的视角,这些设施被认为比公司所有者提供的更加真实。监视用户生成的Web内容是目的地营销人员的经济高效方法,以评估其服务质量,提高旅行者的整体体验。在方法的影响方面,Web内容分析方法基于实际发生的内容,因此没有受访者偏见。随着定量和定性的性质,该方法能够识别基础研究中的紧急概念。

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