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 ...

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 ...

In the early days of SEO, ranking algorithms were easy to game with simple tactics that became known as “black hat” SEO – white text on a white background, hidden links, keyword stuffing, and paid ...

Abstract: In the digital era, effective spam detection is essential to ensure secure communication, this paper examines the use of Natural Language Processing (NLP) techniques methods on email and SMS ...