[Purpose/Significance]To clarify the theme information of the projects and published papers fund-ed by the large-scale scientific facility fund can provide a reference for the future research layout of large-scale sci-entific 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 sci-entific 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.
关键词
主题模型/BERTopic/主题识别/大科学装置/联合基金
Key words
topic model/large-scale scientific facility/joint research fund/BERTopic/topic identification
维普
万方数据