  On social media, Arabic people tend to express themselves in their own local
dialects. More particularly, Tunisians use the informal way called "Tunisian
Arabizi". Analytical studies seek to explore and recognize online opinions
aiming to exploit them for planning and prediction purposes such as measuring
the customer satisfaction and establishing sales and marketing strategies.
However, analytical studies based on Deep Learning are data hungry. On the
other hand, African languages and dialects are considered low resource
languages. For instance, to the best of our knowledge, no annotated Tunisian
Arabizi dataset exists. In this paper, we introduce TUNIZI a sentiment analysis
Tunisian Arabizi Dataset, collected from social networks, preprocessed for
analytical studies and annotated manually by Tunisian native speakers.
