Enhancing Email Fraud Detection Using SVM: A Comparative Analysis with Other Machine Learning Models

The primary objective of this study is to develop a robust spam detection system by leveraging feature extraction and classification techniques. Our approach involves preprocessing email content to remove stopwords, punctuation, and non-informative terms, followed by lemmatization to standardize word forms.