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Self-driving tour is one of the most important ways for people to travel, and network travel notes actually reflect the traveling information of self-driving tourists. In this paper, with the network travel notes of self-driving tourists as the research object, methods such as text analysis and visualization were adopted to study behavior patterns of self-driving tourists, tourism experience, time-space migration, and distribution of tourism resources in Inner Mongolia, from the multiple dimensions of mobile drivers, perceived dimensions, and spatial migration. The results showed that: ① self-driving tourists had a variety of motivations for traveling, in which love for nature dominated; ② self-driving tour destinations were mainly Hulunbuir, Ordos, and Alxa League; ③ spatial migration was characterized by obvious seasonal fluctuations. The research on the behavior of self-driving tourists in Inner Mongolia is an important part for the study of the connection between tourism resources and market connection in Inner Mongolia, and is of significance for guiding the theory, practice and policy formulation of self-driving tours in Inner Mongolia. [ABSTRACT FROM AUTHOR]