Author(s)

Qian Yang ¹

Affiliation(s)

¹ Xi'an Polytechnic University, Xi'an, Shaanxi, 710048, China

Corresponding Author

Qian Yang

ABSTRACT

Mining China's government data governance policy themes and analyzing the theme evolution paths are helpful to discover the trend of government data governance policy evolution. Using 443 government data governance policies at or above the provincial and ministerial levels in China as data sources, divided into different time windows by years, the policy themes under different time windows are identified by LDA topic model, and the classification effect is judged by using visualization tools, and the topic hotspots are obtained by categorizing them according to the similarity of each phase. Through the analysis of China's government data governance policies under different time windows thematic hotspots clustering, in order to provide corresponding reference for China's government data governance field.

KEYWORDS

Government Data Governance Policy, LDA Model, Topic Similarity, Topic Hotspot

CITE THIS PAPER

Qian Yang, LDA-based Topic Mining Research on China's Government Data Governance Policy. Social Security and Administration Management (2022) Vol. 3: 33-42. DOI: http://dx.doi.org/10.23977/socsam.2022.030205.

REFERENCES

[1] Chen Zhenghan. A review of China's government data governance research in the last decade[J]. Social Science Dynamics, 2022(02):59-67.
[2] Liang Y, Li Xiaoxang, Liu ZHENG, Zheng YIPING. Research on the core elements and cultivation paths of China's government data governance talent capacity [J]. Library, 2022(04):34-41.
[3] Zheng Lei. The two roles of government in data governance: policy makers and data users[J]. Exploration and Controversy, 2020(11):21-23.
[4] Niu Lixue, Bai Xiangyang. Research progress and future research trends of government data governance at home and abroad[J]. Hebei Science and Technology Tu Yuan, 2020,33(01):21-27.DOI:10.13897/j.cnki.hbkjty. 2020.0004.
[5] Li Chongzhao, Huang Juan. Policy and governance structure of government data governance in the UK[J]. E-Government,2019(01):20-31.DOI:10.16582/j.cnki.dzzw.2019.01.003.
[6] Zhou Wenhong, Wu Qiong, Tian Xin, Zhong Ruiling. A study on the practical framework of data governance in the U.S. federal government--a policy-based analysis and insights [J]. Modern Intelligence, 2022,42(08):127-135.
[7] Liu, B.F., Wei, W., An, S.M. Policy analysis of government data governance in the era of big data [J]. Journal of Intelligence, 2019, 38(01):142-147+141.
[8] Song Yi, An Xiaomi, Ma Guanghui. A study on big data governance capacity of US, UK and Australian governments - a content analysis based on big data policies [J]. Intelligence Information Work,2018(01):12-20.
[9] Yao KAM, Xia ZJ. A study on the practice under government big data governance system--a comparative analysis based on Shanghai, Beijing and Shenzhen [J]. Intelligence Data Work, 2020, 41(01):94-101.
[10] Liang C, Wu Peiyi. International comparison of data governance policies: history, characteristics and insights[J]. Science and Technology Herald, 2020, 38(05):36-41.
[11] Napoli P M, Karaganis J. On making public policy with publicly a vailable data: Thecase of US communications policymaking [J]. Government Information Quarterly, 2010, 27(4): 384-391.
[12] Yannoukakou A, Araka I. Access to government information: Right to information and open government data synergy [J]. Procedia-Social and Behavioral Sciences, 2014, 147:332-340.
[13] Bertot JC, Zheng Lei, Xu Huina, Bao Linda. Policy framework for big data and open data: issues, policies and recommendations [J]. E-Government, 2014 (1): 6-14.
[14] Khatri V, Brown C V. Designing data governance[J]. Communications of the ACM, 2010, 53(1): 148-152.
[15] Huabin, Kang, Yue, Fan, Linhao. Research on the characteristics and evolution of the hierarchical nature of Chinese high-tech industry policies--an analysis based on 6043 policy texts from 1991-2020[J]. Science and Technology Management,2022,43(01):87-106.
[16] Cai Wei, Ding Jingda, Liu Chao, Chen Yifan. Comparative analysis of data governance research themes identification and evolution at home and abroad [J]. Intelligence Inquiry, 2022(07):102-109.
[17] Li Zibiao, Zhang Li. Research on the evolution of patent technology themes of steel materials based on LDA model [J]. Science and Technology Management Research, 2020, 40(24):175-183.
[18] Zhou Jian, Zhang J, Qu Ran, Yan Shi. Analysis of domestic and foreign blockchain theme mining and evolution based on LDA [J]. Journal of Intelligence, 2021, 40(09):161-169.
[19] Liu Shiyang, Hua Bolin. LDA-based public culture theme extraction and evolution analysis [J]. Library Intelligence Research, 2021,14(02):28-37.
[20] Cao Chen, Luo Qiansheng, Huang Jun, Sui Daliang, Xiao Zhan. Analysis of the current situation of science and technology innovation cooperation in the twin-city economic circle of Chengdu and Chongqing regions--based on social network and LDA theme model[J]. Soft Science,2022,36(01):98-107.DOI:10.13956/j.ss.1001-8409.2022.01.15.
[21] Tan, Chunhui, Xiong, Mengyuan. A comparative analysis of the evolution of domestic and foreign data mining research hot topics based on LDA model[J]. Intelligence Science, 2021, 39(04): 174-185. DOI: 10.13833/j. issn. 1007-7634.2021.04.023.
[22] Zhang Tao, Ma Haiqun. Analysis of big data policy themes and development trends in China [J]. Intelligence Theory and Practice, 2022, 45(03):72-80. DOI:10.16353/j.cnki.1000-7490.2022.03.011.
[23] Zhang Tao, Ma Haiqun. Analysis of hot topics and evolution of artificial intelligence policy in China[J]. Modern Intelligence, 2021, 41(11):150-160.
[24] Wan Yan, Zhang Minghui, Gao Jinping. A study on policies related to artificial intelligence in China based on text analysis [J]. Journal of Library and Information Studies, 2021, 6(12):54-63.
[25] Huang Qifan. The key stage of the great rejuvenation -- understanding and experience of learning the Fourteenth Five Year Plan for National Economic and Social Development of the People's Republic of China and the Outline of the Vision Goals for 2035 [J]. People's Forum, 2021 (15): 5.

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