The paper aims to explore the factors that influence creative products offered by libraries from the perspective of user preferences by text mining and regression analysis,and provide suggestions on how the libraries develop and manage the creative products.By using web crawler technology,the authors obtain data related to cultural and creative products from the online creative stores of the National Library and the Palace Museum.On the one hand,based on the classification of positive and negative comments on creative products,TF-IDF weight calculation,and keyword analysis were conducted.On the other hand,a regression analysis was used to investigate the relationship between the multi-dimensional feature attributes of creative products and their sales.Based on the comprehensive analysis results,the following strategies and suggestions are proposed for the development of creative products in libraries:with culture as the core,exploring the cultural significance of unique collection resources,taking the quality as the guarantee to achieve the creative integration of quality and practical functionality,taking the users as the center to empower products with more creative displays through diverse interactions,using marketing as an engine to improve the library creative product development.
cultural and creative productlibraryuser preferencesdevelopment strategies
万方数据
维普
