Year: 2024
Type: article
Abstract: We introduce Tasaheel-v2, an automated tool specifically developed for Arabic Natural Language Processing (NLP)and textual analysis tasks. This work is an extension to the first version, Tasaheel-v1, comprised of traditional NLP tasksincluding stemming, segmentation, normalization, named entity recognition, and part of speech tagging. Furthermore, itincluded cutting-edge analytic methods, such as specific emotion, polarity, linguistics, and domain-specific word tagging. In thisnew innovative version, Tasaheel-v2, we introduce additional benefiting utilities designed to provide assistance for the Arabicresearch community. We specifically integrate another Arabic-specific POS tagger, a sentiment analyzer, and English-to-Arabictranslation functions. We leverage the utilities provided in Tasaheel to develop a machine-learning model designed to identifyArabic phishing emails and provide a thorough textual analysis to capture deceptive cues used to detect phishing linguisticpatterns. This tool contributes to the Arabic research domain by providing assistive NLP functions and textual analysis featuresall in one tool
DOI: 10.4197/comp.13-2.1
Authors: Hanen Hemdi, Fatmah Assiri
Institution: University of Jeddah
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405978665