Elements of tourist demand for tourism-related performing arts based on online reviews and the Kano model

With the rapid development of immersive tourism-related performance, identifying tourists’ needs has become crucial for product optimization and service refinement. Taking “Unique Henan · Land of Drama” as a case, this study uses latent Dirichlet allocation topic analysis and the Kano model to construct a demand analysis framework for tourism-related performance products based on online reviews. Using text mining and fine-grained sentiment analysis, we extract 10 core experience elements, such as scenic spots, theaters, and dramas. We also establish a classification structure comprising cultural connotation (charm demand), tickets and time arrangement (essential demand), landscape elements (indifference demand), and theater, drama, service facilities, and experience quality (expectation demand). Our findings reveal a hierarchy of tourist demands in tourism-related performance products and their differentiated mechanisms. On that basis, we propose a product optimization path characterized by “ensuring essential attributes–enhancing expectation attributes–activating charm attributes.”