Web page Classification by Using PCA and Neural Network

Abstract

With the exclusive growth in the WWW makes the internet growing very fast. Therefore classifiers of the web pages become more challenging. The proposed system is about using Principal Components Algorithm PCA to classify web documents . In this research, new web page classification method is proposed, and the proposed system uses a neural network with inputs obtained by the Principal Components Algorithm. The feature vectors that obtained from PCA are then used as the input to the neural networks for classification. The experimental evaluation demonstrates that the proposed system provides high quality classification accuracy with the sports news datasets.