A novel text mining-driven decision-making approach for sustainable agritourism centre selection

This paper examines key criteria for selecting Agritourism Centers (ACs), which play a vital role in developing agricultural tourism. Based on the experts' opinions, influential criteria are first extracted from the literature review. A novel hybrid text-mining-based multi-criteria decision-making approach is applied. Tourist reviews are categorised using a Large Language Model (LLM), and the scores of qualitative criteria extracted through text mining are integrated into the decision matrix. Based on the findings, practical managerial recommendations are provided to help AC managers and relevant stakeholders improve decision-making and enhance agritourism performance.