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]: اول واحد ذكرنى بصاحب اسمه قرده
[EX A]: NEGATIVE

[EX Q]: وادم علينا يارب نعمه الامن والامان وسائر بلاد المسلمين
[EX A]: NEGATIVE

[EX Q]: انت يا دكتور خير اخ ربنا يزور عليك
[EX A]:
POSITIVE