[HTML][HTML] Automatic classification of literature in systematic reviews on food safety using machine learning

LM van den Bulk, Y Bouzembrak, A Gavai, N Liu… - Current Research in …, 2022 - Elsevier
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 …

Machine Learning‐Based Detection of Spam Emails

ZB Siddique, MA Khan, IU Din, A Almogren… - Scientific …, 2021 - Wiley Online Library
Social communication has evolved, with e‐mail still being one of the most common
communication means, used for both formal and informal ways. With many languages being …

Hybrid momentum accelerated bat algorithm with GWO based optimization approach for spam classification

P Dhal, C Azad - Multimedia Tools and Applications, 2024 - Springer
Spam emails have become more prevalent, necessitating the development of more effective
and reliable anti-spam filters. Internet users face security threats, and youngsters are …

Fighting Misinformation: Where Are We and Where to Go?

H Nguyen, L Ogbadu-Oladapo, I Ali, H Chen… - International Conference …, 2023 - Springer
This study reviews existing studies on misinformation. Our purposes are to understand the
major research topics that have been investigated by researchers from a variety of …

Multi-language spam/phishing classification by email body text: Toward automated security incident investigation

J Rastenis, S Ramanauskaitė, I Suzdalev, K Tunaitytė… - Electronics, 2021 - mdpi.com
Spamming and phishing are two types of emailing that are annoying and unwanted, differing
by the potential threat and impact to the user. Automated classification of these categories …

Spam-detection with comparative analysis and spamming words extractions

MK Islam, M Al Amin, MR Islam… - … (Trends and Future …, 2021 - ieeexplore.ieee.org
Communication through email plays an essential part especially in every sector of our day-to-
day life. Considering its significance, it is important to filter spam emails from emails. Spam …

Training neural networks by enhance grasshopper optimization algorithm for spam detection system

SAA Ghaleb, M Mohamad, SA Fadzli… - IEEE …, 2021 - ieeexplore.ieee.org
A significant negative impact of spam e-mail is not limited only to the serious waste of
resources, time, and efforts, but also increases communications overload and cybercrime …

Detecting ham and spam emails using feature union and supervised machine learning models

F Rustam, N Saher, A Mehmood, E Lee… - Multimedia Tools and …, 2023 - Springer
Spam emails are cyber nuisances that cause serious security threats including personal and
financial information. Although several spam detection approaches exist, detecting new …

An analysis of supervised machine learning algorithms for spam email detection

T Toma, S Hassan… - … Conference on Automation …, 2021 - ieeexplore.ieee.org
Email users are increasing at a high rate and a huge number of people's privacy is getting
risked by spam email and it also kills valuable time of people most often. Spam email can be …

A feature-based approach for sentiment quantification using machine learning

K Ayyub, S Iqbal, M Wasif Nisar, EU Munir, FK Alarfaj… - Electronics, 2022 - mdpi.com
Sentiment analysis has been one of the most active research areas in the past decade due
to its vast applications. Sentiment quantification, a new research problem in this field …