IEEE

Hybrid Model for Email Spam Detection Using Multi-Modal KNN and SVM

Abstract: Email spam is one of the big problems and really accelerates online fraud against our society today. Phishing and fraud became one of the nefarious and illegal uses by some people on this.
techannouncer

How to Use a Python Visualizer to Debug and Understand Your Code Effectively

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...
GitHub

sms-spam

This project classifies SMS messages as spam or ham using a PyTorch logistic regression model with a bag-of-words representation, including train/validation/test split, performance evaluation ...
Ars Technica

FTC claims Gmail filtering Republican emails threatens “American freedoms”

Federal Trade Commission Chairman Andrew Ferguson accused Google of using “partisan” spam filtering in Gmail that sends Republican fundraising emails to the spam folder while delivering Democratic ...
TechRepublic

AI Now Creates 51% of Spam: Two Key Reasons Attackers Use This Approach

AI Now Creates 51% of Spam: Two Key Reasons Attackers Use This Approach Your email has been sent AI is generating 51% of all spam emails. This isn’t something to worry about — as long as AI-generated ...
IEEE

Email Spam Classification Using LBSVM

Abstract: Spam classification is a popular topic in modern information security and personal privacy. It not only occupies network resources, leads to network congestion, but also causes economic ...
InfoWorld

Using AI-powered email classification to accelerate help desk responses

Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...