Abstract
With the abundant availability of Blogs and reviews marketers are facing the challenge of extracting relevant knowledge from these sources as these insights can be used for marketing intelligence. However, it is uncertain if the topics and the language used in Blogs reflect what researchers traditionally investigate in conventional image studies. This paper provides an overview of a method to automatically analyze thousands of Blog entries. Furthermore, it compares the findings of a conventional image study with the content mining approach to provide insights into destination image representation in the online and offline world. The results indicate that automated content analysis reproduces the findings from image studies to a great extent. Therefore they are a valuable additional source of information for DMOs.
| Original language | English |
|---|---|
| Title of host publication | Information and Communication Technologies in Tourism 2011 |
| Subtitle of host publication | Proceedings of the International Conference in Innsbruck, Austria |
| Place of Publication | Innsruck, Austria |
| Pages | 165-177 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | Information and Communication Technologies in Tourism 2011 - Austria, Innsbruck, Austria Duration: 26 Jan 2011 → 28 Jan 2011 |
Conference
| Conference | Information and Communication Technologies in Tourism 2011 |
|---|---|
| Country/Territory | Austria |
| City | Innsbruck |
| Period | 26/01/2011 → 28/01/2011 |
Keywords
- text mining
- destination representation
- tourism Blog analysis
- destination image
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Dive into the research topics of 'Comparing Online Destination Image with Conventional Image Measurement-The Case of Tallinn'. Together they form a unique fingerprint.Prizes
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ENTER 2011 2nd best paper award
Dickinger, A. (Recipient), Költringer, C. (Recipient) & Körbitz, W. (Recipient), 2011
Prize: Prize (including medals and awards)