Emotion Detection in Arabic Text in Social Media: A Brief Survey
Keywords:
Emotion detection; Arabic texts; machine learning; social media; natural language processing.Abstract
Emotion detection in Arabic text in social media has gained significant attention due to the
increasing use of social media platforms in the Arab world. It is a special case of affective computing that
relies on natural language processing techniques to recognize emotions from written text. This article
provides a comprehensive review of different approaches used in developing models for emotion detection
in Arab textual data in social media. Social media have a substantial impact on societies and have
contributed significantly to many fields (marketing, recommendation systems, etc.). Arabic language texts
on social networking sites in all their forms (posts - comments - messages - any other form) express the
personal feelings of the person concerned; if they are understood correctly, the understanding of the written
text will be correct. Scientific research has recently increased in this field to determine people's feelings
through their writing of texts. In addition, we have highlighted the utilization of deep learning architectures
in the improvement of the performances of models for different types of deep learning models.
