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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

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  • Anil Bilgihan

    (College of Business, Florida Atlantic University, Boca Raton, FL, USA)

  • Denver Severt

    (University of Central Florida, Orlando, FL, USA)

  • Jay Kandampully

    (Department of Consumer Sciences, The Ohio State University, Columbus, OH, USA)

Abstract

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.

Suggested Citation

  • Anil Bilgihan & Denver Severt & Jay Kandampully, 2013. "Using Word Trees, Word Networks, and Tag Clouds to Provide Meaningful Insights: A Case Study of Electronic Word of Mouth for Hotel Service Delivery," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 4(4), pages 19-42, October.
    • Handle: RePEc:igg:jssmet:v:4:y:2013:i:4:p:19-42
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