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《Journal of Anhui Normal University(Natural Science)》 2009-01
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Research on Discovery of BBS Topic Based on Clustering

WU Hao1,GENG Huan-tong2,WU Xiang2(1.Department of Computer Science,Anhui Business College of Vocational Technology,Wuhu 241002,China;2.College of Computer and Software,Nanjing University of Information Science & Technology,Nanjing 210044,China)  
To obtain BBS topic effectively has been an important research field of web information processing.By analyzing the shortage of existing topic discovery algorithms,a new discovery method is put forward.Based on clustering,the method is to calculate the similarity between comments using latent semantic analysis and cluster the topics with the factors of time and space.Finally,the visual and interactive system is implemented,which can discover topic drift and new topic timely and effectively.
【Fund】: 中国博士后科学基金项目(20080431114);; 江苏省博士后科学基金项目(0801024B);; 安徽省高校教师科研项目(2005jq1043)
【CateGory Index】: TP391.1
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