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Reconsidering Tourism Destination Images by Exploring Similarities between Travelogue Texts and Photographs

  • Xin Zhang
  • , Xiaoqian Lu
  • , Xiaolan Zhou
  • , Chaohai Shen*
  • *此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

With the rise of user-generated content (UGC) and deep learning technology, more and more researchers construct and measure the tourism destination image (TDI) through online travelogues. However, due to the impact of COVID-19 prevention and control, the number of online travelogues has decreased significantly and, therefore, the scientific validity of the TDI based only on text or photos has been questioned. This research fills a gap by comparing the differences between visual and semantic images in terms of the overall image perception and image formation through natural language processing technology and image caption technology in obtaining TDIs, taking Tiantai County in Zhejiang Province of China as a case. Our results show that the texts and photographs shared major similarities in the overall TDI, but from the perspective of interest, they reflect differently. Therefore, when considering the data source selection for TDI research with a small number of travelogues, texts should be the main content, supplemented by photographs.

源语言英语
文章编号553
期刊ISPRS International Journal of Geo-Information
11
11
DOI
出版状态已出版 - 11月 2022

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