网页分类技术研究现状与发展趋势的图谱分析

Atlas analysis of webpage classification technology research status and developing trend

以Web of Science中1998—2017年间收录的1277篇网页分类领域文献为研究对象,采用CiteSpace可视化工具,并使用科学计量学方法,系统回顾了网页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,目前的网页分类技术已完成理念界定和概念推广,并形成较为完善的研究体系结构。在该领域中,中国科学院和北京大学具有较强的科研能力,而美国在国际影响力上处于领先地位。另外,文中发现机器学习和数据挖掘是近几年网页分类领域的研究热点。文中的分析结果将为我国网页分类技术领域的研究提供一些参考。

1277 webpage classification field documents collected from Web of Science in 1998-2017 are taken as the research object,and the CiteSpace visualization tool and scientometrics method are used to systematically review the main research institutions,research hotspots and research contents in the field of webpage classification. It is found that the concept definition and concept generalization of current webpage classification technology have completed,and a relatively complete research system structure was formed. In this field,the Chinese Academy of Sciences and Peking University have strong scientific research capabilities,but the United States is in the leading position of international influence. It is also found that the machine learning and data mining are the research hotpots of webpage classification field in recent years. The analysis results of this paper will provide some references for the research of webpage classification technology in our country.