| 引用本文: | 胡艳丽,白亮,张维明.网络舆情中一种基于OLDA的在线话题演化方法.[J].国防科技大学学报,2012,34(1):150-154.[点击复制] |
| HU Yanli,BAI Liang,ZHANG Weiming.OLDA-based method for online topic evolution in network public opinion analysis[J].Journal of National University of Defense Technology,2012,34(1):150-154[点击复制] |
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| 网络舆情中一种基于OLDA的在线话题演化方法 |
| 胡艳丽, 白亮, 张维明 |
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(国防科技大学 信息系统工程重点实验室, 湖南 长沙 410073)
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| 摘要: |
| 研究网络舆情分析中话题演化方法。首先分析网络舆情信息的特点；在此基础上，建立网络舆情信息模型，基于话题模型抽象描述文本内容的隐含语义，进而建立文本流在时间序列上的关联模型；进一步，提出基于OLDA的话题演化方法，针对舆情信息的特点，建立不同时间片话题间的关联。实验结果表明，该方法能够有效检测话题演化，为网络舆情分析提供了有效途径。 |
| 关键词: 网络舆情 话题模型 话题演化 Gibbs抽样 |
| DOI： |
| 投稿日期：2011-08-30 |
| 基金项目:国家自然科学基金资助项目（60902094） |
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| OLDA-based method for online topic evolution in network public opinion analysis |
| HU Yanli, BAI Liang, ZHANG Weiming |
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(Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073,China)
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| Abstract: |
| The topic evolution was investigated for network public opinion analysis. The properties of network public opinion information were analyzed firstly. Based on the properties, the latent semantics of textual data for network public opinion was described by using the topic model, and the text streams are modeled with a consideration of time for online analysis. Furthermore, a topic evolution method based on OLDA was proposed by incorporating the correlation of topics among time slices. The proposed method was experimentally verified to be efficient for detecting topic evolution of network public opinion. |
| Keywords: network public opinion topic model topic evolution Gibbs Sampling |
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