INFORMATION RESEARCH

Theme Mining of the Projects by Joint Research Fund of Large-scale Scientific Facility Based on BERTopic

  • Wang Zhiqiang ,
  • Li Yizhan ,
  • Li Yunlong ,
  • Li Zexia
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  • 1 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2 School of Economics and Management, University of CAS, Beijing 100190;
    3 Bureau of Frontier Sciences and Education, Chinese Academy of Sciences, Beijing 100864
Wang Zhiqiang, master candidate;Li Yizhan, associate research fellow, PhD;Li Yunlong, professor, PhD;Li Zexia, professor, PhD, corresponding author, E-mail:lizexia@mail.las.ac.cn.

Received date: 2023-12-04

  Revised date: 2024-02-26

  Online published: 2024-12-23

Supported by

This work is supported by 2022 Special Project on Library Capacity Building of the Chinese Academy of Sciences “Strategic Analysis of Science and Technology Trend in the Field of Space & Optoelectronics and Major Research Infrastructure” (Grant No. E2290447); 2023 Special Project on Library Capacity Building of the Chinese Academy of Sciences “Trend Analysis and Services in Science and Technology——Major Research Infrastructure” (Grant No. E3290422).

Abstract

[Purpose/Significance] To clarify the theme information of the projects and published papers funded by the large-scale scientific facility fund can provide a reference for the future research layout of large-scale scientific facility. [Method/Process] The BERTopic deep learning model was used to extract the topic of the projects and published papers funded by the joint research fund of large-scale scientific facility at the semantic level. [Result/Conclusion] The research finds that different types of large-scale scientific facility have their specific focus, and their distribution and advantages have distinct characteristics. Most of the research projects rely on large-scale scientific facility, and the research related on new principles, new methods and key technologies are less. The analysis of the similarities and differences of the project and the paper funded by the fund provides certain reference for the fund management and the layout of large-scale scientific facility in the future.

Cite this article

Wang Zhiqiang , Li Yizhan , Li Yunlong , Li Zexia . Theme Mining of the Projects by Joint Research Fund of Large-scale Scientific Facility Based on BERTopic[J]. Library and Information Service, 2024 , 68(24) : 104 -113 . DOI: 10.13266/j.issn.0252-3116.2024.24.009

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