Arabic is recognised as the 4th most used language of the Internet. Arabic has three main
varieties:(1) classical Arabic (CA),(2) Modern Standard Arabic (MSA),(3) Arabic Dialect (AD) …

Due to the vast volumes of newly streamed data on the Internet and social media, the use of
sentiment analysis (SA) to extract information and analyze people's opinions has become a …

In this work, we tackle the problem of machine reading comprehension (MRC) on the Holy
Qur'an to address the lack of Arabic datasets and systems for this important task. We …

Sentiment analysis is a crucial Natural Language Processing task to analyze the user's
emotions and opinions towards events, entities, services, or products. Arabic NLP faces …

The absence of publicly available reusable test collections for Arabic question answering on
the Holy Qur'an has impeded the possibility of fairly comparing the performance of systems …

The exponential growth of digital information, particularly user-generated content on social
media and blogging platforms, has underscored the importance of sentiment analysis (SA) …

Purpose This paper aims to propose an approach for hate speech detection against
politicians in Arabic community on social media (eg Youtube). In the literature, similar works …

This paper presents a large corpus created from the original Quranic text, where
semantically similar or related verses are linked together. This corpus will be a valuable …

Abstract Question Answering System has the ability to present an answer based on a
question submitted by the user in natural languages. This system consists of question …

In this dissertation, we address the need for an intelligent machine reading at scale (MRS)
Question Answering (QA) system on the Holy Qur'an, given the permanent interest of …