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...
| Publicado en: | Electronic Library Vol. 38; no. 3; pp. 633 - 658 |
|---|---|
| Autores principales: | , , , , |
| Formato: | computer program equations & formulas research tables/charts Journal Article |
| Publicado: |
Emerald Publishing Limited
2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |