电讯技术Issue(6)：611-617,7.DOI:10.3969/j.issn.1001-893x.2015.06.005
微博网络中基于主题发现的舆情分析
Public Opinion Analysis Based on Topic Detection in Micro-blog Network
摘要
Abstract
For the problem that current research on public opinion analysis in micro-blog network does not consider public opinion text features from the global level,a public opinion analysis model based on topic detection is presented according to micro-blog network public opinion topic and trend analysis. The model is described from three aspects,text preprocessing,micro-blog text feature extraction,topic detection and trend analysis. The simulation results show that the detection performance of the model is satisfying and the model is effective in the analysis of micro-blog network public opinion. This exploration in this paper can provide some valuable reference for further research in this field.关键词
微博网络/舆情分析/主题发现/文本特征Key words
micro-blog network/public opinion analysis/topic detection/text feature分类
信息技术与安全科学引用本文复制引用
彭浩,周杰,周豪,赵丹丹..微博网络中基于主题发现的舆情分析[J].电讯技术,2015,(6):611-617,7.基金项目
国家自然科学基金资助项目(61170108) （61170108）
浙江省自然科学基金资助项目(LQ13F020007) （LQ13F020007）
上海市信息安全综合管理技术研究重点实验室开放课题(AGK2013003) Foundation Item:The National Natural Science Foundation of China(No.61170108) （AGK2013003）
The Natural Science Foundation of Zhejiang Province (LQ13F020007) （LQ13F020007）
The Open Research Project of Shanghai Information Security Key Laboratory of Integrated Management of Technology(AGK2013003) （AGK2013003）
