Tasaheel-v2: Development of Innovative Textual Analysis tool with Advanced Features
Hanen Himdi, Fatmah Yousef Assiri · Journal of King Abdulaziz University-Computing and Information Technology Sciences · 2024
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