中国UML研究热点:共词分析

R. Yin, Tong Yi, Yuqin Mo, Zhiqiang Chen, Yaqiong Liu, Jie Fang, Kaisen Yang
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引用次数: 1

摘要

共词分析是一种典型的内容分析方法,也是一种重要的内容挖掘方法。它已广泛应用于医学、化学、人工智能、软件工程、信息科学和信息系统等领域。本文运用SPSS软件,对中国知网数据库收录的2001 ~ 2008年期刊上发表的关于UML的论文共词进行了分析。运用因子分析法和层次聚类法,探讨了主题标题之间的关系以及中国UML研究的热点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hotspot for Study in UML of China: Co-word Analysis
Co-word analysis is a typical kind of content analysis, and also it is an important content mining method. It has been widely used in medicine, chemistry, artificial intelligence, software engineering, information science and information system. By the use of SPSS software, this paper analyzes co-word of the articles on UML issued in the periodicals from year 2001 to 2008 collected by CNKI database. The relationships among subject headings and the hotspot of the researches on UML in China are also explored with the help of the factor analysis method and the hierarchical clustering method.
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