Research on the Analysis of Perceived Experience of Virtual Tourism Products Based on Data Mining Technology

Under the background of digital technology application, this paper is based on the theory of sense of presence, based on the measurement of tourists’ experience perception, using the emotional tendency analysis algorithm of the emotional lexicon to mine the text of the online comments of “Universal Studios Beijing”, and analysing their perceptual experience of the virtual tourism products of Universal Studios Beijing from the aspects of satisfaction and emotional tendency. Satisfaction and emotional tendency, the results show that: tourists are more satisfied with the experience of virtual tourism technology as the core of the main park, the quality of the experience is higher, and most of them are tourism parks themed with virtual tourism + film IP. At the same time, virtual tourism product perception as one of the important bases for building the interactive function of virtual tourism products plays an important role in better solving the problems existing in the work of virtual product perception in large theme parks.