This paper aims to implement a Support Vector Machines (SVMs) based text classification
system for Arabic language articles. This classifier uses CHI square method as a feature …

Text classification is a supervised learning technique that uses labeled training data to
derive a classification system (classifier) and then automatically classifies unlabelled text …

feature selection (FS) is essential for effective and more accurate text classification (TC)
systems. This paper investigates the effectiveness of five commonly used FS methods for our …

Text classification is a supervised technique that uses labelled training data to learn the
classification system and then automatically classifies the remaining text using the learned …

In this paper, an Arabic statistical learning-based text classification system has been
developed using Polynomial Neural Networks. Polynomial Networks have been recently …

Arabic Text Classification Framework Based on Latent Dirichlet Allocation Page 1 Journal of
Computing and Information Technology - CIT 20, 2012, 2, 125–140 doi:10.2498/cit.1001770 …

Text preprocessing is an essential stage in text categorization (TC) particularly and text
mining generally. Morphological tools can be used in text preprocessing to reduce multiple …

Several Text Categorization (TC) techniques and algorithms have been investigated in the
limited research literature of Arabic TC. In this research, Logistic Regression (LR) is …

Associative classification (AC) is an important data mining approach which effectively
integrates association rule mining and classification. Prediction of test data is a fundamental …

Compared to other languages, there is still a limited body of research which has been
conducted for the automated Arabic text categorization (TC) due to the complex and rich …