Tasaheel-v2: Development of Innovative Textual Analysis tool with Advanced Features

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 tasks
including stemming, segmentation, normalization, named entity recognition, and part of speech tagging. Furthermore, it
included cutting-edge analytic methods, such as specific emotion, polarity, linguistics, and domain-specific word tagging. In this
new innovative version, Tasaheel-v2, we introduce additional benefiting utilities designed to provide assistance for the Arabic
research community. We specifically integrate another Arabic-specific POS tagger, a sentiment analyzer, and English-to-Arabic
translation functions. We leverage the utilities provided in Tasaheel to develop a machine-learning model designed to identify
Arabic phishing emails and provide a thorough textual analysis to capture deceptive cues used to detect phishing linguistic
patterns. This tool contributes to the Arabic research domain by providing assistive NLP functions and textual analysis features
all in one tool