文本情感分类中生成式情感模型的发展

描述了生成式模型的概念及它在文本情感分类领域的发展,分析了生成式情感模型的分类,着重研究了不同生成式情感模型之间的关联性,并对生成式模型中最有代表性的三类模型进行了介绍,最后对生成式情感模型发展以及未来趋势进行了总结。...

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Bibliographic Details
Published in计算机应用研究 Vol. 31; no. 12; pp. 3521 - 3526
Main Author 张辉 刘奕群 马少平
Format Journal Article
LanguageChinese
Published 清华大学智能技术与系统国家重点实验室清华信息科学与技术国家实验室(筹)计算机系,北京100084 2014
南京陆军指挥学院作战实验中心,南京210045%清华大学智能技术与系统国家重点实验室清华信息科学与技术国家实验室(筹)计算机系,北京,100084
Subjects
主题模型
情感主题混合模型
文本情感分类
生成式情感模型
生成式情感模型
情感主题混合模型
topic model
generative sentiment model
sentiment-topic mixture model
text sentiment classification
文本情感分类
主题模型
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ISSN1001-3695
DOI10.3969/j.issn.1001-3695.2014.12.001

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Summary:描述了生成式模型的概念及它在文本情感分类领域的发展,分析了生成式情感模型的分类,着重研究了不同生成式情感模型之间的关联性,并对生成式模型中最有代表性的三类模型进行了介绍,最后对生成式情感模型发展以及未来趋势进行了总结。
Bibliography:51-1196/TP
As an important research direction in text mining,this paper widely studied unsupervised and weak supervised generative models in text sentiment classification. It described the definition,classification and development of the generative model in text sentiment classification,focused on the relationship between the different generative sentiment models,with introduced the most representative models. Furthermore,it summarized the trends of the generative model and development in the future.
text sentiment classification;topic model;generative sentiment model;sentiment-topic mixture model
ZHANG Hui,LIU Yi-qun,MA Shao-ping（1. Dept. of Computer Science ＆ Technology, State Key Laboratory of Intelligent Technology ＆ Systems, Tsinghna National Laboratory for Information Science ＆ Technology, Tsinghua University, Beijing 100084, China; 2. Operation Experiment Center, Nanjing Army Command College, Nanjing 210045, China）
ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2014.12.001