Abstract: In this paper, we put forward a new tool, called SpaML, for spam detection using a set of supervised and unsupervised classifiers, and two techniques imbued with Natural Language Processing ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

Abstract: The growing volume of unsolicited spam emails threatens user privacy, productivity, and digital security. This study proposes an enhanced spam detection model by integrating phrase pattern ...

For those weary of relentless nuisance calls, there's a simple way to tackle them so they don't bother you again, and it only takes a few clicks. These steps will only work if you own an Apple iPhone ...

Telecom Fraud Detection: SMS Spam Classifier built with Python, Scikit-learn, and Streamlit. Achieves ~98% accuracy using TF-IDF + Naive Bayes. Includes EDA, fraud trend visualization, and real-time ...