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A tourist review mining framework for the sustainability features of world natural heritage based on AI large models

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  • Xinquan Cheng
  • Yuanhong Chen
  • Seok-Chool Kim

Abstract

This study presents a novel tourist comment mining framework that integrates an AI large model with prompt strategies and the AISPA model to provide sustainable resource allocation strategies for UNESCO World Natural Heritage sites. The framework confirms that tourists prioritise service attributes as high-priority features, which are crucial for sustainable development. The results demonstrate that this framework combines the strengths of previous comment mining tools, offering a more efficient and user-friendly solution. Researchers can use it to balance resource allocation between natural and service features, leading to more effective management strategies.

Suggested Citation

  • Xinquan Cheng & Yuanhong Chen & Seok-Chool Kim, 2025. "A tourist review mining framework for the sustainability features of world natural heritage based on AI large models," Current Issues in Tourism, Taylor & Francis Journals, vol. 28(11), pages 1701-1709, June.
    • Handle: RePEc:taf:rcitxx:v:28:y:2025:i:11:p:1701-1709
    DOI: 10.1080/13683500.2025.2456070
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