Transmutation and Development:Content Theme Mining and Analysis of Central and Local Policy Texts on Open Government Data Management in China
[Purpose/significance]Identify the content themes and evolutionary features of the central and local policy texts on open government data management in China.[Method/process]Obtain the central and local policy texts in China,filter and eliminate the policy texts,and use LDA topic model to realize the topic identification and evolution analysis of the content of this paper on open gov-ernment data management policy.[Result/conclusion]It is found that the currently released open government data management cen-tral and local policy texts have obvious life cycle characteristics,and the current stage is in a plateau,and their content themes can be divided into four major categories,with data security management of government data openness being the number one hot topic,and each topic showing different evolutionary trends over time.[Innovation/limitation]A large sample of policy texts is collected as the data source,and only the passages with highly relevant themes are retained in each text.The LDA theme model is used to identify and ana-lyze the themes of the policy texts,which intuitively reveals the current situation and trends of the central and local policy texts of open government data management in China.
open government datapolicy textLDA topic modeltopic miningcontent analysis
NETL
NSTL
万方数据
