期刊文献+

主题模型在临床文本挖掘中的应用现状 被引量:2

Current Application Status of Topic Modeling in Clinical Text Mining
下载PDF
导出
摘要 采用文献调研分析法对近10年国内外运用主题模型方法挖掘临床文本的研究进行归纳分析,总结研究现状和常用的主题模型方法,阐述主题模型在文本挖掘领域存在的局限性,以期为相关领域的研究提供借鉴。 By investigating and analyzing literature, the paper carries out inductive analysis of domestic and overseas studies that mined clinical text through topic modeling over the past 10 years, summarizes status quo of the studies and topic modeling methods that are often adopted, and expatiates on the existing limitations of topic modeling in the text mining field to provide reference for studies in relevant fields.
作者 李燊 夏晨曦 马敬东 LI Shen;XIA Chen-xi;MA Jing-dong(School of Medicine and Health Management,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China)
出处 《医学信息学杂志》 CAS 2018年第5期51-56,共6页 Journal of Medical Informatics
基金 中央高校基本科研业务费资助项目"区域医疗机构知识网络形成机制研究"(项目编号:2015AE017)
关键词 主题建模 临床文本 文本挖掘 Topic modeling;Clinical text;Text mining
  • 相关文献

参考文献8

二级参考文献77

  • 1段瑞雪,王小捷,孙月萍,李文峰.HDP主题模型的用户意图聚类[J].北京邮电大学学报,2011,34(S1):55-58. 被引量:6
  • 2郭炜强,戴天,文贵华.基于领域知识的专利自动分类[J].计算机工程,2005,31(23):52-54. 被引量:17
  • 3李程雄,丁月华,文贵华.SVM-KNN组合改进算法在专利文本分类中的应用[J].计算机工程与应用,2006,42(20):193-195. 被引量:23
  • 4楚克明,李芳.基于LDA模型的新闻话题的演化[J].计算机应用于软件,2011,28(4) :4-7.
  • 5Blei D M, Ng A Y, Jordan M I. Latent Dirichlet allocation [ J ]. Journal of Machine Learning Research ,2003,3:993 - 1022.
  • 6Griffiths T, Steyvers M. Finding scientific topics[ J]. Proceedings of the National Academy of Sciences of the United States of America, 2004, 101 ( 1 ) : 5228 - 5235.
  • 7Steyvers M, Griffiths T. Probabilistic topic models [ J ]. Handbook of Latent Semantic Analysis, 2007, 427 (7) : 424 - 440.
  • 8Yang Yiming, Pedersen J O. A comparative study on feature selec- tion in text categorization[ C ]//Proceeding of the Fourteenth Inter- national Conference on Machine Learning( ICML' 97 ). San Fran- cisco : Morgan Kaufmann Publishers Inc, 1997:412 - 420.
  • 9Wilson A T, Chew P A. Term weighting schemes for latent dirichlet allocation [ C ]//Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the As- sociation for Computational Linguistics. Los Angeles:Association for Computational Linguistics, 2010 : 465 - 473.
  • 10Xu Weili, Feng Shi, Wang Lin, et al. Detecting hot topics in Chi- nese micro-blog streams based on frequent patterns mining [ M ]// Web Information Systems and Mining. Heidelberg : Springer, 2012 : 637-644.

共引文献133

同被引文献8

引证文献2

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部