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TUNIZI: a Tunisian Arabizi sentiment analysis Dataset

A sentiment analysis dataset called TUNIZI for Tunisian Arabizi is introduced to address the scarcity of annotated data for African dialects, facilitating analytical studies through deep learning.

Year
2020
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arXiv 2020
Authors
3
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arxiv.org/abs/2004.14303ARXIV-DEFAULT
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Abstract

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.

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3