Research on the Tourist Perception in Shanghai Disneyland

Tourist perception mainly reflects the experience of tourists in the process of travel, and is the starting point for researching the psychology and behavior of tourists. The research on tourist perception data can help destinations optimize and update their products and services based on tourists' feedback. Shanghai Disneyland is currently one of the most popular tourist destinations in China, and the dissemination of network information and the style of Disneyland make it cover a large variety of tourists. Therefore, this paper adopts the Analytic Network Process (ANP) to analyze the tourist perception information of Shanghai Disneyland, and organizes the tourist perception information into three dimensions: word frequency, semantic network, and emotion, so as to provide certain suggestions for the future development of Shanghai Disneyland. However, marketing issues and queuing problems caused by the increase in the number of ticket purchases also need to be emphasized and solved by the management.