Research on Image Monitoring and Management of Hot Tourism Destination Based on Data Mining Technology

Abstract

The rapid development of big data technology not only provides a platform for netizens to create content and exchange information, but also provides an information base for tourism destinations to effectively carry out marketing. Technological innovation promotes the activeness of human-computer interaction, and tourists can know all kinds of information of destinations through network content, so as to build a perception image of tourism destinations and make final travel decisions. When there are many alternative destinations to choose from, people will compare the images of the relevant destinations, and finally choose a destination that can meet their tourism needs and psychological expectations. Tourism destination, as the object of tourism activities, will be used by tourism consumers to generate huge network content and comments by Internet media. These network data intensifies the occurrence of crisis events, which will form a small negative event into a huge scale effect. This paper attempts to reveal the spatial law of tourism destination image cognition from the basic viewpoint of geography on geographical space, so as to provide theoretical basis for tourism destination image strategy.