Tourist satisfaction evaluation through data-driven web text mining: a case study of Jilin national ski tourism resort

The report of the 20th National Congress of the Communist Party of China proposed building a strong sports nation and promoting green development, thereby guiding the high-quality development of China's ice and snow economy.National-level ski tourism resorts in Jilin Province attract many tourists but face intense competition and diverse demands.This study develops an evaluation indicator system via grounded theory and applies IPA analysis to identify key factors affecting tourist satisfaction.Results show common problems include inadequate ski trail facilities, inconsistent coaching services, lack of price transparency, and insufficient health protection.Individual issues involve catering and information retrieval.However, performance in tourist interaction, equipment rental, and transportation is excellent.This study proposes systematic optimisation strategies to support the high-quality development of ski tourism in Jilin Province, contributing the 'Jilin sample' to China's ice and snow industry.