Feifei Zang
ABSTRACT
With the continuous development of computer technology, online booking of tourism products has become a major mode of tourism consumption, which helps people eliminate information barriers and improve the efficiency of tourism. Web data mining technology is a very important application technology in tourism research. Through the travel notes and comments published by tourists, the group characteristics and travel preferences of tourists can be deeply explored and analyzed, which can provide a certain direction for the marketing of tourist destinations. This paper takes Chunan Qiandao Lake Scenic Area as an example. Based on the characteristics of communication, real-time and richness of Ctrip database, it uses computer Web data mining technology to collect the data published by tourists from January 2021 to June 2022, and analyzes the cognitive emotion of tourists through emotion analysis and content analysis.
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