We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI
2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. It …

Sentiment analysis is considered one of the significant trends of the recent few years. Due to
the high importance and increasing use of social media and electronic services, the need for …

Social networks such as twitter have emerged as social platforms that can impart a massive
knowledge base for people to share their unique ideas and perspectives on various topics …

This study presents the development of a sentimental analysis system for high education
students using Arabic text. There is a gap in the literature concerning understanding the …

Twitter has become a unique platform for social interaction from people all around the world,
leading to an extensive amount of knowledge that can be used for various reasons. People …

The complexity of the Arabic language in terms of morphology, orthography, and dialects
renders it more difficult to conduct sentiment analysis for the Arabic language. This issue is …

Despite the increasing amount of research on social media, there are few studies on the use
of WhatsApp to assess academic performance. Surprisingly, students use social media …

Twitter has emerged as a platform that produces new data every day through its users which
can be utilized for various purposes. People express their unique ideas and views on …

Sentiment analysis involves using computational methods to identify and classify opinions
expressed in text, with the goal of determining whether the writer's stance towards a …

Arabic's complex morphology, orthography, and dialects make sentiment analysis difficult.
This activity makes it harder to extract text attributes from short conversations to evaluate …