Loading...
Automated Hyperlink Text Analysis of City Websites: Projected Image Representation on the Web
Weismayer, Christian Pezenka, Ilona Loibl, Wilhelm
Weismayer, Christian
Pezenka, Ilona
Loibl, Wilhelm
Advisors
Editors
Other Contributors
Affiliation
EPub Date
Publication Date
2016-01-23
Submitted Date
Collections
Other Titles
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 will result in successful differentiation from competitors, 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 text of DMO websites was collected automatically by a crawler. The text was 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 of the cities. This information permits conclusions regarding the projected image of the cities.
Citation
Weismayer, C., Pezenka, I., & Loibl, W. (2016). Automated Hyperlink Text Analysis of City Websites: Projected Image Representation on the Web. In Information and Communication Technologies in Tourism 2016 (pp. 59-72). Springer, Cham.
Publisher
Springer
Journal
Research Unit
DOI
10.1007/978-3-319-28231-2_5
PubMed ID
PubMed Central ID
Type
Conference Contribution
Language
Description
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-28231-2_5
Series/Report no.
ISSN
EISSN
ISBN
9783319282312