This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.

[EX Q]: اطفال اليوم رجال الغد ومستقبل الامه
[EX A]: POSITIVE

[EX Q]: اللهم ارزقنا رزقا حلالا تغننا به عن حرامك
[EX A]: POSITIVE

[EX Q]: والله مش عارفه شو بدنا نسوي نشحد مثلا
[EX A]:
NEGATIVE