Authorship Verification for Arabic Social Media Texts Using Arabic Knowledge-Base Model (AraKB)

Abstract

The issue of verifying authorship has been a controversial and much disputed subject within the field of digital forensics and cyber investigations. Although extensive research has been carried out on authorship verification tasks, few studies have analyzed Arabic social media texts. This paper seeks to overcome this limitation and presents a new knowledge-based model to enhance Natural Language Understanding and thereby improve authorship verification performance. The proposed model provided promising results that would benefit research for different Natural Language Processing tasks for Arabic.