Neural networks for web news classification based on augmented PCA
In this paper, we propose a news web page classification method (WPCM). The WPCM uses a neural network with inputs obtained by both the principal components and class profilebased features (CPBF). Each news web page is represented by the term-weighting scheme. As the number of unique words in the co...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://eprints.utm.my/3123/1/IJCNN2003.pdf |