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

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 along with other proposed features to evaluate the classificati...

Full description

Bibliographic Details

Published in:	Electronic Library Vol. 38; no. 3; pp. 633 - 658
Main Authors:	Zamir, Ammara, Khan, Hikmat Ullah, Mehmood, Waqar, Iqbal, Tassawar, Akram, Abubakker Usman
Format:	computer program equations & formulas research tables/charts Journal Article
Published:	Emerald Publishing Limited 2020
Online Access:	View this record in EBSCOhost