Abstract
To study a Chinese web text classification model based on manifold learning. Manifold learning methods can effectively map the high-dimensional web text data into a low dimension space. Reducing the dimension of Chinese web text data can improve the efficiency of the classifying algorithms. In this model, the Chinese web text data are firstly reduced the dimensions with ISOMAP. Then the low-dimensional data are classified with Bayes classifier. The result shows that the executing efficiency is greatly improved and the qualities of classification are guaranteed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yu, R.-P.: Research and implementation of Chinese text categorization algorithm. Master degree thesis, Northwestern University Xian (2007)
Han, J., Kamber, M.: Data mining concepts and technologies.M. Translations such as Meng Xiaofeng. China machine press, Beijing (2005)
Wang, Y.: And based on decision tree K Nearest neighbor algorithms for text categorization research. PhD thesis. Tianjin University, Tianjin (2006)
Ye, Z.S.: application in text classification: master’s thesis. Harbin Engineering University, Harbin (2006)
Hsu, C.W., Lin, C.-J.: A simple decomposition method for support vector machines. Machine Learning 46(23), 291–314 (2002)
Tenenbaum, J.B., de Silva, V., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290(5500), 2319–2323 (2000)
Rowei, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500), 2323–2326 (2000)
Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15(6), 1373–1396 (2003)
Zhang, Z.Y., Zha, H.Y.: Principal manifolds and nonlinear dimensionality reduction via tangent space alignment. SIAM Journal of Scientific Computing 26(1), 313–338 (2005)
Tan, S., Wang, Y.P.: Corpus of Chinese text categorization -TanCorpV1.0 ( Web version ), http://www.searchforum.org.cn/tansongbo/corpus.htm
Tan, S., et al.: A Novel Refinement Approach for Text Categorization. In: ACM CIKM 2005 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shi, S., Fu, Z., Li, J. (2012). Chinese Web Text Classification Model Based on Manifold Learning. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34038-3_100
Download citation
DOI: https://doi.org/10.1007/978-3-642-34038-3_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34037-6
Online ISBN: 978-3-642-34038-3
eBook Packages: Computer ScienceComputer Science (R0)