Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 5
Page No. 1304 - 1309

Dimension Reduction Techniques for Document Categorization with Back Propagation Neural Network

Authors : Yaqeen Saad and Khalid Shaker

Abstract: Text classification refers to the problem of classifying text documents into one class or more from a set of predefined categories. Text classification is significant part of “text mining”. In addition, the text classification problem has become the focus of researchers because of its great importance applications in organizing large input data. Many successful algorithms applied to the text categorization. In this research, we are trying to improve performance and increase the accuracy of the results by applying the “Singular Value Decomposition” (SVD) mechanism in order to minimize the dimension of input attributes and “Feature selection” approach to choose the features that hold enough information to help in the classification task. This classification has been done by using back propagation neural network.

How to cite this article:

Yaqeen Saad and Khalid Shaker, 2018. Dimension Reduction Techniques for Document Categorization with Back Propagation Neural Network. Journal of Engineering and Applied Sciences, 13: 1304-1309. Asian Journal of Information Technology, 18: 250-260.

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