… We report the accuracy results of the first set of experiments on single-label Arabic text
classification in Table 3 for each of the nine DNN models. Accuracy is a popular metric for …

… This paper presented the results of classifying Arabic text documents on seven different
Arabic corpora by using a recognized statistics technique. A tool was implemented for feature …

… text classification model, we have removed the Arabic stop words and we have applied a light
stemming process1. We have used one third of the Arabic … Arabic text classification model …

… In this work, Arabic text classification was performed using the CNN algorithm. Considering
that the aim of our work is to benefit from the advantages of that algorithm, which were …

… methods used to classify Arabic text, this work also … Arabic text; authors compile their own,
and most of the work is focused on Modern Arabic with very little done on Colloquial Arabic …

… on the topic of Arabic text classification, and to summarize … the latest researches in Arabic
text classifiers and explore them … of the information that exists in the Arabic digital contents. To …

… are clear owing to the Arabic language’s … Arabic text classification. This research seeks to
form a general point of view by categorising different techniques of Arabic text classification for …

… for Arabic text classification. … Arabic text classification for the past two decades. The aim of
this paper is to present a concise and yet comprehensive review of the Arabic text classification…

… Arabic text is different in nature to the English text, and preprocessing of Arabic text is more
… This paper aims to compare three different classification techniques on Arabic text: k nearest …

… Arabic text classification based on neural networks. So, this research summarized the list of
neural network techniques that were used to classify Arabic texts … classification of Arabic texts…