A review of spam email detection: analysis of spammer strategies and the dataset shift problem
Spam emails have been traditionally seen as just annoying and unsolicited emails
containing advertisements, but they increasingly include scams, malware or phishing. In …
containing advertisements, but they increasingly include scams, malware or phishing. In …
Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …
and communication advancements will empower better administration of accessible …
A comprehensive examination of email spoofing: Issues and prospects for email security
Attackers are becoming more skilled in recent years, using sophisticated technology to
produce look-alike emails that make it difficult to distinguish between real and fake ones …
produce look-alike emails that make it difficult to distinguish between real and fake ones …
Spam email detection using deep learning techniques
Q Yaseen - Procedia Computer Science, 2021 - Elsevier
Unsolicited emails such as phishing and spam emails cost businesses and individuals
millions of dollars annually. Several models and techniques to automatically detect spam …
millions of dollars annually. Several models and techniques to automatically detect spam …
Sentiment analysis of customers' reviews using a hybrid evolutionary SVM-based approach in an imbalanced data distribution
Online media has an increasing presence on the restaurants' activities through social media
websites, coinciding with an increase in customers' reviews of these restaurants. These …
websites, coinciding with an increase in customers' reviews of these restaurants. These …
A novel approach for spam detection using horse herd optimization algorithm
Communication via email has expanded dramatically in recent decades due to its cost-
effectiveness, convenience, speed, and utility for a variety of contexts, including social …
effectiveness, convenience, speed, and utility for a variety of contexts, including social …
A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM
Purpose Studies on mining text and generating intelligence on human resource documents
are rare. This research aims to use artificial intelligence and machine learning techniques to …
are rare. This research aims to use artificial intelligence and machine learning techniques to …
Machine learning-based text classification comparison: Turkish language context
The growth in textual data associated with the increased usage of online services and the
simplicity of having access to these data has resulted in a rise in the number of text …
simplicity of having access to these data has resulted in a rise in the number of text …
Semantic graph neural network: A conversion from spam email classification to graph classification
W Pan, J Li, L Gao, L Yue, Y Yang… - Scientific …, 2022 - Wiley Online Library
In this study, we propose a method named Semantic Graph Neural Network (SGNN) to
address the challenging task of email classification. This method converts the email …
address the challenging task of email classification. This method converts the email …
Review of NLP-based systems in digital forensics and cybersecurity
Over the years, there is an increase in the use of Artificial Intelligence (AI) by digital forensics
and cybersecurity professionals to combat cybercrime. Natural Language Processing (NLP) …
and cybersecurity professionals to combat cybercrime. Natural Language Processing (NLP) …