Scientific Literature Trend Mining Based on Co-Word Analysis
基于共词分析的科技文献趋势挖掘

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.