Text classification is a prominent research area, gaining more interest in academia, industry
and social media. Arabic is one of the world's most famous languages and it had a …

Sentiment analysis was nominated as a hot research topic a decade ago for its increasing
importance in analyzing the people's opinions extracted from social media platforms …

Classifying the cognitive levels of assessment questions according to Bloom's taxonomy can
help instructors design effective assessments that are well aligned with the intended …

In this paper we investigate the use of Deep Learning (DL) methods for Dialectal Arabic
Sentiment Analysis. We propose a DL model that combines long-short term memory (LSTM) …

Social media networks have grown exponentially over the last two decades, providing the
opportunity for users of the internet to communicate and exchange ideas on a variety of …

Meanwhile, products and services reviews' provide a guide for potential customers allowing
them to reach real knowledge about such products/services while making decisions …

Arabic Natural language processing (ANLP) is a subfield of artificial intelligence (AI) that
tries to build various applications in the Arabic language like Arabic sentiment analysis …

In recent past during the era of consumerism with easy accessibility to social networking
world, the consumers usually give comments and opinions on daily usable ingredients …

Arabic sentiment analysis has become an important research field in recent years. Initially,
work focused on Modern Standard Arabic (MSA), which is the most widely used form. Since …

With the tremendous increase in web technologies, many people are conveying and
expressing their feelings through social media. These data collections, called big data, can …