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中国医药导刊 ›› 2020, Vol. 22 ›› Issue (2): 134-140.

• 管理与实践 • 上一篇    下一篇

《中华人民共和国中医药法》词频统计与可视化关联网络分析

卢玉红   

  1. 成都中医药大学
  • 收稿日期:2019-12-03 修回日期:2020-02-10 出版日期:2020-02-29 发布日期:2020-03-24
  • 基金资助:
    四川省教育厅项目“四川中药学学术成果的国内影响力分析研究”

Word Frequency Statistics and Visual Associative Network Analysis of the Chinese Medicine Law of the People′s Republic of China

  • Received:2019-12-03 Revised:2020-02-10 Online:2020-02-29 Published:2020-03-24

摘要: 目的:运用词频统计和可视化关联网络分析方法对《中华人民共和国中医药法》进行分析,探究本法的核心内容和特征。方法:以法律文本作为数据来源,利用NLPIR-ICTCLAS进行分词处理,并统计词汇在中医药发展方针、中医药管理体系、对中医药事业的扶持、中医药监管、中医药法律责任等五个方面的分布情况,在此基础上利用Ucinet绘制关键词汇与法律条款之间的可视化关联网络图谱。结果:本法内容全面而丰富,强化了政府责任,但侧重扶持,监管较弱,配套法律法规体系也有待完善。结论:《中华人民共和国中医药法》的出台为振兴中医药提供了强大助力。

Abstract: Objective: Using word frequency statistics and visual associative network analysis methods to analyze the Chinese Medicine Law of the People′s Republic of China, in order to summarize the core content and characteristics of this law. Methods: Using NLPIR-ICTCLAS to segment legal texts, statistics word frequency in the five aspects of the development guidelines, the management system, the support, the supervision, and the legal responsibility of Chinese medicine, and draws visual association maps of core word and Legal terms by Ucinet. Results: The content of this law is comprehensive and abundant, which strengthens the responsibility of the government, but focuses on support, weak supervision, and the supporting laws and regulations need to be improved. Conclusion: The promulgation of the Chinese Medicine Law of the People′s Republic of China has provided assistance for the revitalization of Chinese medicine.

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