EMFET: E-mail Features Extraction Tool

TL;DR

EMFET is an open-source tool that extracts over 140 email features from EML files, aiding in spam detection research by providing a comprehensive and extensible feature set.

Contribution

It introduces a flexible, easy-to-use tool for extracting a wide range of email features, facilitating dataset creation for machine learning spam detection models.

Findings

Extracts 140+ features from emails

Categorizes features into header, payload, and attachment groups

Open source and extensible tool

Abstract

EMFET is an open source and flexible tool that can be used to extract a large number of features from any email corpus with emails saved in EML format. The extracted features can be categorized into three main groups: header features, payload (body) features, and attachment features. The purpose of the tool is to help practitioners and researchers to build datasets that can be used for training machine learning models for spam detection. So far, 140 features can be extracted using EMFET. EMFET is extensible and easy to use. The source code of EMFET is publicly available at GitHub (https://github.com/WadeaHijjawi/EmailFeaturesExtraction)