Arabic text classification is one application of Natural Language Processing (NLP). It has
been used to analyze and categorize Arabic text. Analyzing text has become an essential …

Automatic text classification or categorization consists to assign predefined classes or
categories to a given set of text documents aiming to organize the document collection …

Text categorization acquires more significance considering the plenty of text added
continually on the web. The lack of huge and free Arabic datasets makes it more difficult to …

The world has witnessed an information explosion in the past two decades. Electronic
devices are now available in many varieties such as PCs, Laptops, book readers, mobile …

Arabic sentiment analysis has become an important research field in recent years. Initially,
work focused on Modern Standard Arabic (MSA), which is the most widely used form. Since …

Text classification is the process of labelling a given set of text documents with predefined
classes or categories. Existing Arabic text classifiers are either applying classic Machine …

The ultimate aim of Machine Learning (ML) is to make machine acts like a human. In
particular, ML algorithms are widely used to classify texts. Text classification is the process of …

In the Natural Language Proc essing (NLP) field, the text classification becomes a task on
which many scholars and researchers concentrate. Rhetorical methods in the Arabic …

This paper presents a novel Arabic dataset that considers the characteristics of the Arabic
language filling some gaps not covered by existing datasets. Conventional datasets …

Purpose This study provides an overview of the application of sentiment analysis (SA) in
exploring social movements (SMs). It also compares different models for a SA task of …