标题:NMF-based method of text classification
作者:Sun, Fuzhen ;Kun, Zhang
通讯作者:Sun, F
作者机构:[Sun, Fuzhen ] College of Computer Science and Teclmology, Shandong University of Technology, Zibo, Shandong, China;[Kun, Zhang ] Deprutment of Comput 更多
来源:Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
出版年:2010
页码:4312-4316
DOI:10.1109/WCICA.2010.5554018
摘要:This paper put forward a text classification method based on NMF (Non-negative Matrix Factorization), NMF-based analysis of the conceptual semantic space and the text Vector 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. © 2010 IEEE.
收录类别:EI
资源类型:会议论文
TOP