Analysis of the Evolution and Identification of Topics in China's Data Element Policies
[Purpose/Significance]Facing the environment where the complexity of data element charac-teristics and the external uncertainty are constantly superimposed,it is urgent to analyze the key development trend of China's data element policy,and grasp its evolution trends and regional topics,which is of great sig-nificance for promoting the development of the data element industry.[Method/Process]This study focused on a sample of 597 policy texts on data elements from the 31 provinces(municipalities,autonomous regions)in China.These texts were categorized into six stages and four regions,and analyzed in terms of temporal and spatial dimensions using the DTM model and the LDA model to explore the topic evolution and identify regional topics,respectively.[Result/Conclusion]The study finds that the intensity of each topic at different stages changes over time,and the keywords of the same topic are different at different stages,and summarizes three major topic evolution paths.Data element policies in different regions are different in the focus areas,but there are similarities in the policy orientation and landing initiatives in promoting the development of data elements.Through the analysis of topic evolution and identification of data element policies in China,it aims to provide the better understanding of the data element policy development and offer strong support for the or-derly development of the data element field.
data elementpolicy analysistopic evolutiontopic identification
NETL
NSTL
万方数据
