Demand Analysis of Museum Cultural Creation Based on Data Mining

Purpose In order to gain a unique advantage in the highly competitive cultural and creative market, this paper applies big data mining technology to mine the audience's preferred demand for museum cultural and creative products, which helps to further expand the development space of museum cultural and creative differentiation. Methods Text mining method is applied to crawl the online comment information of consumers on Liaoning Museum's cultural and creative products on the Internet platform, and the text data processed by Python tool is analysed by LDA model for clustering. Conclusion The scientific and efficient nature of intelligent language analysis technology for analysing user feedback and mining user demand types and is verified through practice, which divides the museum cultural and creative demands into two major categories, namely, functional demands and emotional demands, and reveals its subdivided demand system, with a view to providing a new path for the broad development of museum cultural and creative.