Feature Selection (FS) methods alleviate key problems in classification procedures as they
are used to improve classification accuracy, reduce data dimensionality, and remove …

Text classification pertains to the automated procedure of assigning predefined labels or
categories to textual data. A comprehensive review of the existing literature on Arabic text …

This study uses a qualitative method. With this method, the researcher conducted interviews
with some members of the second class of private madrasah tsanawiyyah at the modern …

The Arabic language plays a crucial role in the world after becoming the sixth official
language of the United Nations (UN). In the last ten years, there has been a rising growth in …

As the number of electronic resources is rapidly increasing, the need for automatic
classification of such resources became very crucial. In the literature, extensive text …

Text classification, also known as text tagging or text categorization is the operation of
classifying text into systematized sets. By using Natural Language Processing, text …

Text classification is the automated technique used to classify text into a predefined category
that is more related to text. Most studies and researches have focused on classification texts …

Text categorization is a supervised learning task which aims to assign labels to documents
based on the predicted outcome suggested by a classifier trained on a set of labelled …

In this paper, two models are proposed to automatically categorize the farmers' complaints
on various diseases that may affect crops. In the first model, a complaint which is expressed …

Feature Selection (FS) methods alleviate key problems in the development of text
classification models as they are used to reduce the data dimensionality, improve the model …