Universiti Teknologi Malaysia Institutional Repository

Web news classification using neural networks based on PCA

Selamat, Ali and Yanagimoto, Hidekazu and Omatu, Sigeru (2002) Web news classification using neural networks based on PCA. In: Society of Instrument and Control Engineers (SICE) 2002, August 5-7, 2002, Osaka International Convention Center (Grand Cube Osaka).

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Official URL: http://www.sice.or.jp/event/sice2002/index.html

Abstract

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 profile-based features (CPBF). The fixed number of regular words from each class will be used as a feature vectors with the reduced features from the PCA. These feature vectors are then used as the input to the neural networks for classification. The experimental evaluation demonstrates that the WPCM provides acceptable classification accuracy with the sports news datasets.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:text categorization, WWW, profile-based neural networks, principal component analysis
Subjects:Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions:Computer Science and Information System (Formerly known)
ID Code:3089
Deposited By: Dr Ali Selamat
Deposited On:24 Oct 2007 03:29
Last Modified:01 Jun 2010 03:07

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