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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

国防科技大学学报2012,Vol.34Issue(1):150-154,5.
国防科技大学学报2012,Vol.34Issue(1):150-154,5.

网络舆情中一种基于OLDA的在线话题演化方法

OLDA-based method for online topic evolution in network public opinion analysis

胡艳丽 1白亮 1张维明1

作者信息

  • 1. 国防科技大学信息系统工程重点实验室,湖南长沙410073
  • 折叠

摘要

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.

关键词

网络舆情/话题模型/话题演化/Gibbs抽样

Key words

network public opinion/ topic model/ topic evolution/ Gibbs Sampling

分类

信息技术与安全科学

引用本文复制引用

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):150-154,5.

基金项目

国家自然科学基金资助项目(60902094). (60902094)

国防科技大学学报

OA北大核心CSCDCSTPCD

1001-2486

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