Ammara Zamir

A feature-centric spam email detection model using diverse supervised machine learning algorithms

2020 · The Electronic Library

Purpose This research study proposes a feature-centric spam email detection model (FSEDM) based on content, sentiment, semantic, user and spam-lexicon features set. The purpose of this study is to exploit the role of sentiment features …