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

DOI

10.2991/978-94-6463-368-9_55How to use a DOI?

Keywords

text mining; science and technology policy; hotspot analysis

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.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xinfeng Wang
AU  - Zihao Cao
AU  - Jian Ma
PY  - 2024
DA  - 2024/02/14
TI  - Visualization Research on Research Hotspots of China’s Science and Technology Policy Based on Text Mining
BT  - Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)
PB  - Atlantis Press
SP  - 474
EP  - 479
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-368-9_55
DO  - 10.2991/978-94-6463-368-9_55
ID  - Wang2024
ER  -