| 一种基于聚类分析的BBS主题发现算法研究 |
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| 引用本文： | 吴昊,耿焕同,吴祥.一种基于聚类分析的BBS主题发现算法研究[J].安徽师范大学学报(自然科学版),2009,32(1). |
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| 作者姓名： | 吴昊 耿焕同 吴祥 |
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| 作者单位： | 安徽商贸职业技术学院,计算机系,安徽,芜湖,241002;南京信息工程大学,计算机与软件学院,江苏,南京,210044 |
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| 基金项目： | 中国博士后科学基金，江苏省博士后科研资助计划，安徽省高校教师科研项目 |
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| 摘 要： | 针对已有的BBS论坛中有影响力主题计算方法的不足,提出了一种基于聚类分析的主题发现方法,其思想是借助潜在语义分析技术计算回帖之间的相似度,综合时间、空间因素,对主题进行聚类,发现主题并加以实现.
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| 关 键 词： | 聚类分析 潜在语义分析 BBS 主题发现 |
Research on Discovery of BBS Topic Based on Clustering |
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| WU Hao,GENG Huan-tong,WU Xiang.Research on Discovery of BBS Topic Based on Clustering[J].Journal of Anhui Normal University(Natural Science Edition),2009,32(1). |
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| Authors: | WU Hao GENG Huan-tong WU Xiang |
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| Institution: | 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 , Software,Nanjing University of Information Science & Technology,Nanjing 210044,China) |
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| Abstract: | 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. |
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| Keywords: | BBS |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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