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基于增量主题模型的微博在线事件分析 被引量：5

Microblog Online Event Analysis Based on Incremental Topic Model
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摘要 为更好地利用微博结构化社会网络方面的信息,提出一种基于增量主题模型的微博在线事件分析算法。通过设计增量过程,保留已有的训练信息,采用自适应非对称学习算法融入新微博内容与用户关系。实验结果表明,该算法可在短暂的时间内建模,并有效提高事件分析的性能。 Aiming at the existing event analysis algorithms do not make full use of the structure information on social network of microblogs, this paper proposes a microblog online event analysis algorithm based on incremental topic model. This algorithm designs a reasonable incremental process to preserve the existing training information, and gives an adaptive asymmetric learning mechanism to integrate the content and user relationship of new microblogs. Experimental results show that this algorithm leads to more balanced and comprehensive improvement for online event detection in near real-time scenarios.
作者 马慧芳 王博
机构地区 西北师范大学计算机科学与工程学院 解放军南京政治学院上海校区军事信息管理系
出处 《计算机工程》 CAS CSCD 2013年第3期191-196,共6页 Computer Engineering
基金 国家自然科学基金资助项目(61163039) 西北师范大学青年教师科研能力提升计划骨干基金资助项目(NWNU-LKQN-10-1)
关键词 用户关系 话题检测与追踪 主题模型 自适应 增量概率 增量算法 user relationship Topic Detection and Tracking（TDT） topic model adaptive incremental probability incremental algorithm
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献12

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二级参考文献20

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共引文献165

同被引文献46

  • 1李胜东,吕学强,魏震,施水才.基于两层阈值的话题/报道表示模型[J].华中科技大学学报（自然科学版）,2013,41(S2):117-120. 被引量：1
  • 2骆卫华,于满泉,许洪波,王斌,程学旗.基于多策略优化的分治多层聚类算法的话题发现研究[J].中文信息学报,2006,20(1):29-36. 被引量：38
  • 3谭松波,王月粉..中文文本分类语料库-TanCorpV1.0..http://lcc.ict.ac.cn/-tansongbo/corpus1.php,,[2005-12-20]..
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  • 5洪宇,张宇,刘挺,李生.话题检测与跟踪的评测及研究综述[J].中文信息学报,2007,21(6):71-87. 被引量：153
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引证文献5

二级引证文献26

计算机工程
2013年 第3期

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