  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)
