Research on the Evaluation of Island Tourism Experience Based on LDA Model and Text Mining: Taking 1300 Tourist Reviews as an Example

In this paper, 1300 tourist reviews from Ctrip.com are selected with the help of Python, and then text mining-related techniques are used to analyze the island tourism experience. The analysis shows that natural scenery, cultural experience, seafood quality, and accommodation cost-effective harvest more praise, while transport services, catering price transparency, and service quality need to be further improved. Based on the above, a series of suggestions on traffic, catering, accommodation, and cultural resources are proposed to support the optimization of scenic spots at the data level.