摘要
本文以Web of Science中1990-2020年收录的17 574篇文本分类领域的文献为研究对象,采用CiteSpace可视化工具和科学计量学方法进行分析,系统回顾了文本分类领域中主要的研究机构、研究热点及研究脉络等内容。研究发现,目前的文本分类技术已形成较为完善的研究体系结构。文中的分析结果将为我国文本分类技术领域的研究提供一些参考。
Taking 17574 documents in the field of text classification collected by Web of Science from 1990 to 2020 as research objects,CiteSpace visualization tool and scientometrics method were used to systematically review the main research institutions,research hotspots and research contents in the field of text classification.It is found that the current text classification technology has formed a relatively complete research architecture.In this field,the Chinese Academy of Sciences and Tsinghua University have strong scientific research capabilities,while the United States takes a leading position in international influence.In addition,it is found that the classification of short texts has become a research hotspot in recent years.The analysis results of this paper will provide some references for the research of text classification technology in our country.
作者
郑磊
沈家东
ZHENG Lei;SHEN Jiadong(Nanjing University of Science and Technology Zijin College,Nanjing Jiangsu 210046,China;Phoenix Contact,Nanjing Jiangsu 211100,China)
出处
《信息与电脑》
2020年第24期17-20,共4页
Information & Computer
基金
南京理工大学紫金学院校级教改项目(项目编号:20190404017)。
