Abstract:

Online Social Networks (OSN) platforms are considered as the most widely used virtual spaces where users share their thoughts and express their sentiments without any restrictions. Text and sentiment analysis gained increasing popularity in the Natural Language Processing (NLP) to deal with various applications. These tasks become more complex when it comes to considering specific language dialects such as Arabic. In this paper, we propose a Tunisian dialect dataset called Tuniset that can be used for emotion classification in order to detect the sentiment within a comment on OSN. Tuniset was experimented using several Machine and Deep Learning models with intensive experiments to see how it performs when detecting sentiments online.