EMFET: E-mail Features Extraction Tool

November 22, 2017 · Entered Twilight · 🏛 arXiv.org

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Repo contents: EmailFeaturesExtraction.sln, EmailFeaturesExtraction, README.md, packages

Authors Wadi' Hijawi, Hossam Faris, Ja'far Alqatawna, Ibrahim Aljarah, Ala' M. Al-Zoubi, Maria Habib arXiv ID 1711.08521 Category cs.IR: Information Retrieval Cross-listed cs.CL Citations 5 Venue arXiv.org Repository https://github.com/WadeaHijjawi/EmailFeaturesExtraction Last Checked 1 month ago

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)