Enhancing Email Fraud Detection Using SVM: A Comparative Analysis with Other Machine Learning Models
Year: 2025
Type: article
Abstract: 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.
Author: Sudhir Patil
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409195044