In this paper, the check-in data of Sina Weibo and the relevant comment texts of the public comment website are used as data sources, and the GIS kernel density analysis method, social network analysis and high-frequency analysis are used to analyze the tourist perception characteristics of the representative scenic spots in the main urban area of Guilin. The results show that: (1) From the spatial analysis, the check-in map of tourists presents the distribution characteristics of one core and multiple points, with Xiangbi Mountain Scenic Area as the core and the water system environment as the skeleton; (2) From the analysis of the heat score of scenic spots, it shows that under the condition of similar location and convenient transportation, the heat score of scenic spots is also closely related to the characteristics of scenic spots, facilities construction and the degree of correlation with surrounding infrastructure construction; (3) From the analysis of activity types, the audience and landscape types of different attractions are different, so the activity preferences of attractions are also different; (4) From the statistical analysis of the emotional sources of scenic spots, the positive evaluations are mainly the scenery, geographical location, and play items of the scenic spots. The negative evaluations are mainly the low-cost performance of the scenic spots, the backward management of the scenic spots, and the boring play items. Based on the above results, this paper analyzes the influencing factors of tourists’ perception and puts forward the guiding strategies to increase the sightseeing and popularity of Guilin’s scenic spot.