【作者】 丁堃； 许侃；

【机构】 北京大学经济学院； 大连理工大学电子信息学院计算机系；

【摘要】 利用科技期刊文献对学科研究领域进行类别划分和热点问题自动识别,对了解研究领域的发展特点,把握学科发展的动向具有重要意义。本文运用文本挖掘的聚类方法, 以1994年—2006年间,14本学术期刊的41015载文为计量对象,揭示出科技管理研究的六大领域及其发展状态,对各个领域的热点问题进行了自动识别。本项研究一方面为比较准确把握科技管理研究态势提供了定量根据,另一方面,文本聚类方法的运用,也为文献的内容分析提供了一种有效的工具。更多还原

【Abstract】 Using technological journal literature of science and technology to divide the classification and identify the hotspot automatically for the subject researching domain is very significant to understand the development of researching domain and hold the aim of subject development. This paper finds out the six domains of management of science and technology research and its’ developing status and identifies every domain’s hotspots automatically by using the clustering methods in text mining domain and regarding the 41015 journal literature of science and technology published by 14 academic journals between the year 1994 to 2006 as measuring object. The research result not only offers a definite quantity foundation to hold the researching status of management of science and technology accurately, but also gives an effective tool for the literature content analysis by using text clustering method.更多还原