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TUNIZI: a Tunisian Arabizi sentiment analysis Dataset

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arxiv 2004.14303 v1 pith:USMYIC5B submitted 2020-04-29 cs.CL cs.AI

TUNIZI: a Tunisian Arabizi sentiment analysis Dataset

classification cs.CL cs.AI
keywords tunisianarabizianalyticaldatasetstudiesanalysisannotateddialects
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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