TY  - JOUR
T1  - Dimension Reduction Techniques for Document Categorization with
Back Propagation Neural Network
AU - Saad, Yaqeen AU - Shaker, Khalid 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 5
SP  - 1304
EP  - 1309
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1304.1309
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1304.1309
KW  - Text classification
KW  -feature extraction
KW  -feature selection and back propagation neural network
KW  -mechanism
KW  -predefined
AB  - 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.
ER  -