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

Xinquan Cheng, Yuanhong Chen and Seok-Chool Kim

Current Issues in Tourism, 2025, vol. 28, issue 11, 1701-1709

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.

Date: 2025
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DOI: 10.1080/13683500.2025.2456070

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