Construction and analysis of tourism mapping based on data mining and Apriori algorithm

This paper relies on the corpus data of UGC (User-Generated Content) and OTA (online tourism) in the tourism market, adopts various natural language processing techniques represented by deep learning, mines the useful information in the corpus, establishes the knowledge graph and mines the association relationship between tourism products by using data mining techniques and association rule algorithms, and calculates the potential associations in each review, each travelogue and each public article related to cultural tourism through Apriori algorithm to mine their potential associations and explain the association phenomenon reasonably, in order to play a role in scientific regulation and commercial market development for government or enterprise.