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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fuzhen Sun Kim Zhang |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer and Information Technology, Nanyang Normal University, Henan, China (Kim Zhang) || College of Computer Science and Technology, Shandong University of Technology, Zibo, China (Fuzhen Sun) |
| Abstract | This paper put forward a text classification method based oil NIYIF (Non-negative -Matrix Factorization), NMF-based analysis of the conceptual semantic space and the text rector dimensionality reduction- better explain the concept of the semantic vector, better reflect the local features of the text, comparison of two methods of generating conceptual semantic space based on NMF and SVD (Singular Value Decomposition). Experimental results show that the local conceptual semantic space generated based on NMF can be a better text classification accuracy. |
| Starting Page | 4312 |
| Ending Page | 4316 |
| File Size | 1871377 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424467129 |
| e-ISBN | 9781424467129 |
| DOI | 10.1109/WCICA.2010.5554018 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Visualization SVD NME text classification conceptual semantic space |
| Content Type | Text |
| Resource Type | Article |
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