Visualization Research on Research Hotspots of China’s Science and Technology Policy Based on Text Mining

Xinfeng Wang (), Zihao Cao () and Jian Ma ()
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Xinfeng Wang: North China University of Technology
Zihao Cao: North China University of Technology
Jian Ma: North China University of Technology

A chapter in Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023), 2024, pp 474-479 from Springer

Abstract: Abstract This study employs text mining visualization analysis methods to analyze academic papers on China’s science and technology policy field in the past 5 years (2019–2023), and excavates the changing trends of research hotspots in science and technology policy. The research shows that during this period, China’s science and technology policy research mainly focused on scientific and technological innovation, industrial policy, technological progress, policy support and other aspects. This study provides visualization analysis support to focus on the frontiers of China’s science and technology policy research, and also provides knowledge support for future science and technology policy making.

Keywords: text mining; science and technology policy; hotspot analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-368-9_55

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DOI: 10.2991/978-94-6463-368-9_55

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