In recent years, using digital platforms as a carrier to promote the development of cultural and creative products has become a new trend in cultural and creative industries. After analyzing the application of traditional cultural and creative product design platforms, the study mines the audience comment text of traditional cultural and creative products based on the improved TF-IDF algorithm, logistic regression and sentiment analysis algorithm to analyze the consumer’s concern elements and sentiment tendency. Then, the user demand elements of the traditional cultural and creative product design platform are summarized, and the types and priorities of the user demand elements are determined by combining the questionnaire survey and the Kano model. The traditional cultural and creative product design platform is constructed on digital art elements and the platform’s system architecture design is carried out on this basis. Consumer satisfaction is supported by the attributes and services of traditional cultural and creative products. With the best performance in terms of services, the proportion of positive emotions is 90.64%, but there is still room for improvement in packaging, price, and design. The priority of user demand elements was determined, with service perceptibility, service process, and content being the important levels of demand. Based on the research needs of typical users of the platform, the construction of a traditional cultural and creative product design platform based on digital art elements has been realized.