Comparative Analysis of SVM, XGBoost, LSTM, and BERT for Spam Email Classification
The rapid growth of digital communication has been accompanied by a sustained increase in spam messages, which pose risks ranging from user annoyance to phishing, fraud, and malware distribution. Prior work has largely evaluated either classical machine learning or deep learning models in isolation, and the studies tha...