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 significant use of Arabic language in social media networks, the demand for
Arabic sentiment analysis has increased rapidly. Although, numerous sentiment analysis …

Language identification (" LI") is the problem of determining the natural language that a
document or part thereof is written in. Automatic LI has been extensively researched for over …

This article is a utilization research that really needs literacy and reading materials in
describing a discussion, which is through knowledge of the background of an incident, and …

THE TERM NATURAL language refers to any system of symbolic communication (spoken,
signed, or written) that has evolved naturally in humans without intentional human planning …

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 …

Data annotation is an important but time-consuming and costly procedure. To sort a text into
two classes, the very first thing we need is a good annotation guideline, establishing what is …

Abstract Sentiment Analysis (SA) employing Natural Language Processing (NLP) is pivotal
in determining the positivity and negativity of customer feedback. Although significant …

The Arabic language has many spoken dialects. However, until recently, it was primarily
written in Modern Standard Arabic (MSA), which is the formal variant of Arabic. Social media …

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 …