A systematic review of Arabic text classification: areas, applications, and future directions

A Wahdan, M Al-Emran, K Shaalan - Soft Computing, 2024 - Springer
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 …

Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text

MA Shaaban, YF Hassan, SK Guirguis - Complex & Intelligent Systems, 2022 - Springer
The increase in people's use of mobile messaging services has led to the spread of social
engineering attacks like phishing, considering that spam text is one of the main factors in the …

Detecting smishing attacks using feature extraction and classification techniques

RE Ulfath, IH Sarker, MJM Chowdhury… - Proceedings of the …, 2022 - Springer
Phishing scams via SMS have become a common phenomenon due to the widespread use
of smartphones and the availability of mobile Internet technologies. Identifying a phishing …

Enhancing Arabic Phishing Email Detection: A Hybrid Machine Learning Based on Genetic Algorithm Feature Selection.

AA Alsuwaylimi - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
Recently, owing to widespread Internet use and technological breakthroughs, cyber-attacks
have increased. One of the most common types of attacks is phishing, which is executed …

Development of intelligent system based on synthesis of affective signals and deep neural networks to foster mental health of the Indian virtual community

MK Arora, J Singh, A Singh - Social Network Analysis and Mining, 2024 - Springer
Social network analytics in health-care is recently catching-all as world is recovering from
Covid-19 pandemic and when it comes to dealing with mounting mental health problems in …