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Automated Hyperlink Text Analysis of City Websites: Projected Image Representation on the Web

  • Christian WeismayerEmail author
  • Ilona Pezenka
  • Wilhelm Loibl
Conference paper

Abstract

The objective of this study is to identify the image representations of 75 European cities on the Web. As an effective image positioning strategy this will result in successful differentiation from competitors, given that it is crucial for tourism destinations to regularly examine their image. This study focuses on the supply side of destination-image formation and is therefore concerned with analysing the projected destination image. Hyperlink texts of DMO websites were collected automatically by a crawler. The texts were then edited and filtered. Latent semantic dimensions were generated by applying PCA. A hierarchical cluster approach revealed different groups of hyperlink terms. Finally, the co-occurrence of terms and cities was displayed in a joint map indicating which groups of hyperlink terms are over- or underrepresented for each city. This information permits drawing conclusions regarding the projected images of cities.

Keywords

Projected image City website Crawler Text mining Latent semantic 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Christian Weismayer
    • 1
    Email author
  • Ilona Pezenka
    • 2
  • Wilhelm Loibl
    • 3
  1. 1.Department of Applied Statistics and EconomicsMODUL University ViennaWienAustria
  2. 2.Institute for Communication, Marketing and SalesFHWien University of Applied Sciences of WKWWienAustria
  3. 3.Department of Marketing, Tourism and Events ManagementUniversity of ChesterCheshireGreat Britain

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