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DOI:
计算机系统应用英文版:2011,20(4):59-63
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基于共词分析的科技文献趋势挖掘
(杭州电子科技大学 智能信息处理实验室,杭州 310018)
Scientific Literature Trend Mining Based on Co-Word Analysis
(Intelligent Information Processing Laboratory, Hangzhou Dianzi University, Hangzhou 310018, China)
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Received:August 10, 2010    Revised:September 11, 2010
中文摘要: 采用共词分析方法对中文信息学报2000-2009 年所发表的文献进行研究和分析,借助多元统计学中的聚类法,绘制出每两年为一时间段的主题战略坐标图,研究结果揭示了各时间段的研究热点分布以及主题演变情况,总结出新兴学科研究主题发展的一般规律,并探讨了中文信息处理领域的主题发展趋势。
Abstract:In this paper, co-word analysis was used for researching and analyzing the literature published in Journal of Chinese Information Processing in 2000-2009, using clustering method of multiple statistical, and map every two years’ themes strategic diagram. The result reveals every period’s research focus and themes’ evolution and summarizes the general pattern of the research themes’ development in emerging subject, and explores the themes of Chinese information processing trends.
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基金项目:教育部人文社会科学研究项目(08JC740011)
引用文本:
吴潇泽,王小华,谌志群.基于共词分析的科技文献趋势挖掘.计算机系统应用,2011,20(4):59-63
WU Xiao-Ze,WANG Xiao-Hua,CHEN Zhi-Qun.Scientific Literature Trend Mining Based on Co-Word Analysis.COMPUTER SYSTEMS APPLICATIONS,2011,20(4):59-63