Emotion Analysis of Arabic Tweets: Language Models and Available Resources

Ghadah Alqahtani; Abdulrahman Alothaim

doi:10.3389/frai.2022.843038

Emotion Analysis of Arabic Tweets: Language Models and Available Resources

Front Artif Intell. 2022 Mar 30:5:843038. doi: 10.3389/frai.2022.843038. eCollection 2022.

Authors

Ghadah Alqahtani¹, Abdulrahman Alothaim¹

Affiliation

¹ Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

Abstract

One of the most popular social media platforms is Twitter. Emotion analysis and classification of tweets have become a significant research topic recently. The Arabic language faces challenges for emotion classification on Twitter, requiring more preprocessing than other languages. This article provides a practical overview and detailed description of a material that can help in developing an Arabic language model for emotion classification of Arabic tweets. An emotion classification of Arabic tweets using NLP, overall current practical practices, and available resources are highlighted to provide a guideline and overview sight to facilitate future studies. Finally, the article presents some challenges and issues that can be future research directions.

Keywords: Arabic tweets; emotion analysis; language models; natural language processing; social emotion.

Publication types

Review