smoothing lda model for text categorization

	smoothing lda model for text categorization
	Li Wenbo; Sun Le; Feng Yuanyong; Zhang Dakun
	2008
会议名称	4th Asia Information Retrieval Symposium
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	83-94
会议日期	JAN 15-18,
会议地点	Harbin, PEOPLES R CHINA
出版地	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者	INFORMATION RETRIEVAL TECHNOLOGY
ISSN	0302-9743
ISBN	978-3-540-68633-0
部门归属	Li, Wenbo; Sun, Le; Feng, Yuanyong; Zhang, Dakun Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China.
摘要	Latent Dirichlet Allocation (LDA) is a document level language model. In general, LDA employ the symmetry Dirichlet distribution as prior of the topic-words distributions to implement model smoothing. In this paper, we propose a data-driven sm
关键词	Text Categorization Latent Dirichlet Allocation Smoothing Graphical Model
主办者	Microsoft Research Asia
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/10646
专题	基础软件国家工程研究中心
推荐引用方式 GB/T 7714	Li Wenbo,Sun Le,Feng Yuanyong,et al. smoothing lda model for text categorization[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:INFORMATION RETRIEVAL TECHNOLOGY,2008:83-94.