GitHub

Context-aware spam detection using Python automation with scoring and confidence.

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 ...
GitHub

Machine Learning spam classifier achieving 98% accuracy using SVM, NLP, and TF-IDF vectorization

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...
IEEE

Email Spam: A New Strategy of Screening Spam Emails using Natural Language Processing

Abstract: Due to its cost-effectiveness, email has become the primary method of commercial and general communication. These emails can be accessed by everyone quickly with an internet connection. For ...
MobiHealthNews

Study combines NLP, conventional coding to improve dementia detection

The National Centre for Healthy Ageing, a research institute by Monash University and Peninsula Health in Australia, has developed a new AI-driven method to efficiently identify dementia in hospitals.