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 …

Previous work on the problem of Arabic Dialect Identification typically targeted coarse-
grained five dialect classes plus Standard Arabic (6-way classification). This paper presents …

This paper presents a wide literature review of natural language processing for dialectical
Arabic. Four main research areas were identified and the dialect coverage in research work …

Large language models (LLMs) have demonstrated impressive performance on various
downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model …

We present a unified set of guidelines and resources for conventional orthography of
dialectal Arabic. While Standard Arabic has well defined orthographic standards, none of the …

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 …

While online Arabic is primarily written using the Arabic script, a Roman-script variety called
Arabizi is often seen on social media. Although this representation captures the phonology …

To determine whether a document or a sentence expresses a positive or negative sentiment,
three main approaches are commonly used: the lexicon-based approach, corpus-based …

ABSTRACT A non-standard romanization of Arabic script, known as Arbizi, is widely used in
Arabic online and SMS/chat communities. However, since state-of-the-art tools and …