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基于LDA的双通道在线主题演化模型

曹建平 王晖 夏友清 乔凤才 张鑫

曹建平, 王晖, 夏友清, 乔凤才, 张鑫. 基于LDA的双通道在线主题演化模型. 自动化学报, 2014, 40(12): 2877-2886. doi: 10.3724/SP.J.1004.2014.02877
引用本文: 曹建平, 王晖, 夏友清, 乔凤才, 张鑫. 基于LDA的双通道在线主题演化模型. 自动化学报, 2014, 40(12): 2877-2886. doi: 10.3724/SP.J.1004.2014.02877
CAO Jian-Ping, WANG Hui, XIA You-Qing, QIAO Feng-Cai, ZHANG Xin. Bi-path Evolution Model for Online Topic Model Based on LDA. ACTA AUTOMATICA SINICA, 2014, 40(12): 2877-2886. doi: 10.3724/SP.J.1004.2014.02877
Citation: CAO Jian-Ping, WANG Hui, XIA You-Qing, QIAO Feng-Cai, ZHANG Xin. Bi-path Evolution Model for Online Topic Model Based on LDA. ACTA AUTOMATICA SINICA, 2014, 40(12): 2877-2886. doi: 10.3724/SP.J.1004.2014.02877

基于LDA的双通道在线主题演化模型

doi: 10.3724/SP.J.1004.2014.02877
基金项目: 

国家自然科学基金(61105124,60902091)资助

详细信息
    作者简介:

    王晖 国防科学技术大学计算实验与平行系统技术研究中心教授. 主要研究方向为多媒体情报分析与数据挖掘.E-mail: huiwang@nudt.edu.cn

    通讯作者:

    曹建平 国防科学技术大学信息系统与管理学院博士研究生. 主要研究方向为文本分析, 平行系统理论. 本文通信作者.E-mail: caojianping@nudt.edu.cn

Bi-path Evolution Model for Online Topic Model Based on LDA

Funds: 

Supported by National Natural Science Foundation of China (61105124, 60902091)

  • 摘要: 网络舆情分析中需要处理大量时效性较强的文本数据流. 针对在线时效性较强的文本数据流, 提出基于LDA (Latent Dirichlet allocation)的双通道在线主题演化模型(Bi-path evolution online-LDA, BPE-OLDA), 在下一时间片生成文本时考虑文本的内容遗传和强度遗传, 很好地模拟了人在生成时效性较强的文本时的特征. 估算模型参数时对 Gibbs 采样算法进行了简化, 实验证明, 使用简化后的在线 Gibbs 重采样算法, BPE-OLDA 模型在提取时效性较强的文本数据流的主题方面具有明显的效果.
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出版历程
  • 收稿日期:  2013-01-11
  • 修回日期:  2013-09-12
  • 刊出日期:  2014-12-20

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