In recent years, an enormous amount of research has been carried out on support vector
machines (SVMs) and their application in several fields of science. SVMs are one of the …

The explosion of online and offline data has changed how we gather, evaluate, and
understand data. It is frequently difficult and time-consuming to comprehend large text …

Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …

Recent years has witnessed urgent needs for addressing the curse of dimensionality
regarding multi-label data, which attracts wide attention for feature selection. Feature …

Abstract Online Social Networks (OSNs) are the most popular interactive media for
communicating, posting, and sharing indefinite amounts of personal information. However …

This article is a utilization research that really needs literacy and reading materials in
describing a discussion, which is through knowledge of the background of an incident, and …

With the help of machine learning (ML) techniques, the possible errors made by the
pathologists and physicians, such as those caused by inexperience, fatigue, stress and so …

The process of tagging a given text or document with suitable labels is known as text
categorization or classification. The aim of this work is to automatically tag a news article …

Multi-label classification assigns multiple labels to each document concurrently. Many real-
world classification problems tend to employ high-dimensional label spaces, which can be …

We propose a novel text classification model, which aims to improve the performance of
Arabic text classification using machine learning techniques. One of the effective solutions in …