Hotspots in text mining of biomedical field
10.3969/j.issn.1671-3982.2016.02.006
- VernacularTitle:生物医学文本挖掘研究热点分析
- Author:
Hang SHI
;
Wenjun GAO
;
Lei CUI
- Publication Type:Journal Article
- Keywords:
Text mining;
Research on biomedicine;
Hotspots in research
- From:Chinese Journal of Medical Library and Information Science
2016;(2):27-33
- CountryChina
- Language:Chinese
-
Abstract:
The high frequency subject terms were extracted from the PubMed-covered papers published from January 2000 to March 2015 on text mining of biomedical field to generate the matrix of high frequency subject terms and their source papers.The co-occurrence of high frequency subject terms in a same paper was analyzed by clustering analysis.The hotspots in text mining of biomedical field were analyzed according to the clustering analysis of high frequency subject terms and their corresponding class labels, which showed that the hotspots in text mining of bio-medical field were the basic technologies of text mining, application of text mining in biomedical informatics and in extraction of drugs-related facts.
