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| smoothing lda model for text categorization | |
| Li Wenbo; Sun Le; Feng Yuanyong; Zhang Dakun | |
| 2008 | |
| Conference Name | 4th Asia Information Retrieval Symposium |
| Source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 83-94 |
| Conference Date | JAN 15-18, |
| Conference Place | Harbin, PEOPLES R CHINA |
| Publish Place | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
| Publisher | INFORMATION RETRIEVAL TECHNOLOGY |
| ISSN | 0302-9743 |
| ISBN | 978-3-540-68633-0 |
| Department | Li, Wenbo; Sun, Le; Feng, Yuanyong; Zhang, Dakun Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China. |
| English Abstract | 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 |
| Keyword | Text Categorization Latent Dirichlet Allocation Smoothing Graphical Model |
| Sponsorship | Microsoft Research Asia |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/10646 |
| Collection | 基础软件国家工程研究中心 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| smoothing lda model （389KB） | 开放获取 | -- | Application Full Text | |||
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