This research proposes a new neural network for text categorization which uses alternative
representations of documents to numerical vectors. Since the proposed neural network is …

Purpose–The purpose of this paper is to compare the performance of neural networks (NNs)
and support vector machines (SVMs) as text classifiers. SVMs are considered one of the …

In this study, we propose a method for encoding documents into string vectors, instead of
numerical vectors. A traditional approach to text categorization usually requires encoding …

Text classification is used to organize documents in a predefined set of classes. It is very
useful in Web content management, search engines; email filtering, etc. Text classification is …

This paper described two kinds of neural networks for text categorization, multi-output
perceptron learning (MOPL) and back-propagation neural network (BPNN), and then we …

The Web is a tremendous source of information, so tremendous that it becomes difficult for
human beings to select meaningful information without support. Categorization of …

Automated text classification has been considered as a vital method to manage and process
a vast amount of documents in digital forms that are widespread and continuously …

Automated text classification has been considered as an important method to manage and
process a huge amount of documents in digital forms that are widespread and continuously …

The main objective is to propose a text classification based on the features selection and
preprocessing thereby reducing the dimensionality of the Feature vector and increase the …