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) …

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 …

A sentiment analysis of Arabic texts is an important task in many commercial applications
such as Twitter. This study introduces a multi-criteria method to empirically assess and rank …

In this paper, we propose a semi-supervised approach for sentiment analysis of Arabic and
its dialects. This approach is based on a sentiment corpus, constructed automatically and …

With the development of websites and social networks, Internet users generate a massive
amount of comments and information on the Web. Sentiment analysis, also called opinion …

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 …

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 …

Diglossia is one of the main characteristics of Arabic language. In Arab countries, there are
three forms of Arabic that co-exist: Classical Arabic (CA) which is mainly used in the Quran …

Arabizi is an informal written form of dialectal Arabic transcribed in Latin alphanumeric
characters. It has a proven popularity on chat platforms and social media, yet it suffers from a …

A corpus-based sentiment analysis approach for messages written in Arabic and its dialects
is presented and implemented. The originality of this approach resides in the automation …