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| 引用本文： | ??????,?????,???.???????????о?????????????·????????????о?——????????????????????????????[J].图书情报工作,1957,64(5):89-99. |
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| 作者姓名： | ?????? ????? ??? |
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| 作者单位： | ?й??????????????????? ???? 100872 |
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| 摘 要： |
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| 关 键 词： | ?????о????? ????????? ???????·?? ????????? ????????? |
Research on Topic Identification of Papers Core Research Subjects and Evolution Path Visualization Method |
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| Yue Lixin,Zhou Xiaoying,Chen Yini.Research on Topic Identification of Papers Core Research Subjects and Evolution Path Visualization Method[J].Library and Information Service,1957,64(5):89-99. |
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| Authors: | Yue Lixin Zhou Xiaoying Chen Yini |
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| Institution: | School of Information Resources Management, Renmin University of China, Beijing 100872 |
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| Abstract: | ??Purpose/significance] This paper proposes the identification of the core research topics and their evolution path visualization methods, in order to provide reference for the field subject evolution analysis research, which has certain significance for revealing the evolution characteristics and development laws of the core topics.Method/process] Using the LDA model for topic recognition and combining multi-dimensional scaling analysis and visualization techniques to map LDA topic recognition results to two-dimensional space. The topic similarity algorithm was used to detect the association between adjacent time topics, a new visual display method was proposed. We constructed cross-evolution paths of different types of research topics to reveal the dynamic changes of core topics and secondary topics in the evolution process.Result/conclusion] Taking the medical health information field in China as an example, the research results show that the core research topics in the field of medical and health information in China mainly include electronic health records and Internet medical treatment. Among them, core themes such as health management and smart medical treatment show a good development trend. |
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| Keywords: | core research topics topic recognition method topic evolution path visualization medical health information |
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