Research on spatial development strategy of Daxu ancient town scenic spot based on big data analysis

Abstract

In the era of big data and information, it is of great significance to apply big data to the study of tourism spatial development strategies of scenic spots for effective protection and rational utilization of resources. Daxu Ancient Town is a typical representative of Guilin Lijiang River Scenic Area that pays equal attention to history and culture. This paper selects it as the research object, crawls the big data of tourists' travel notes in recent years from Ctrip Travel, uses ROST Content Mining 6 software to conduct text analysis on the data of tourists' travel notes in Daxu Ancient Town, deeply analyzes tourists' image perception of the ancient town from key word frequency, semantic emotion and other aspects, and clarifies the existing problems in the scenic spot, Explore the core resources of scenic tourism, and then put forward suggestions on space protection and development.