In an era dominated by chatbots, automated sequences and AI-generated copy, an unlikely contender is reclaiming its throne in ...

The email spam can be detected in numerous stages such to pre-process the data, extract the attributes and classify the emails. Researchers have constructed several ML (Machine Learning) algorithms in ...

We study the key research areas in phishing email detection using NLP, machine learning algorithms used in phishing detection ... detection methods is the Nazario phishing corpus. Also, Python is the ...

What core limitations of traditional spam detection does this system aim to solve? The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods ...

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either ...