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]: نهارك اسود
[EX A]: NEGATIVE

[EX Q]: اسعار البنزين مرتفعه في المملكه الاردنيه الهاشميه والشعب اغلبه فقير وماشيه الحياه بدون اي مشاكل لكن اللي يقهرك ان الاردن لا تنتج البنزين
[EX A]: NEGATIVE

[EX Q]: اللهم اعنى على ترك المعاصى حبا فى نور وجهك
[EX A]:
POSITIVE