Classifying or categorizing texts is the process by which documents are classified into
groups by subject, title, author, etc. This paper undertakes a systematic review of the latest …

Text classification (TC) is an approach used for the classification of any kind of documents
for the target category or out. In this paper, we implemented the Support Vector Machines …

Systematic reviews are used to collect relevant literature to answer a research question in a
way that is clear, thorough, unbiased and reproducible. They are implemented as a standard …

The network intrusion detection system (NIDS) aims to identify virulent action in a network. It
aims to do that through investigating the traffic network behavior. The approaches of data …

Network security risks are increasing at an exponential rate as Internet technology
advances. Keeping the network protected is one of the most challenging of network security …

Sentiment analysis (SA), also known as opinion mining, is a growing important research
area. Generally, it helps to automatically determine if a text expresses a positive, negative or …

Several projects and application development teams are spending their precious time and
energy in the field of classification and regression. So, the main target of the proposed …

Network Intrusion Detection System (IDS) aims to maintain computer network security by
detecting several forms of attacks and unauthorized uses of applications which often can not …

Today, machine learning and deep learning have paved the way for vital and critical
applications such as abnormal detection. Despite the modernity of transfer learning, it has …

A sentiment analysis of Arabic texts is an important task in many commercial applications
such as Twitter. This study introduces a multi-criteria method to empirically assess and rank …