Detailed Instructions: 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.
See one example below:
Problem:  اربد فيها جامعات اكثر من عمان ... وفيها قد عمان ونص لعيبه المنتخب منها ... و 80 % من مطربين الاردن منها
Solution: POSITIVE
Explanation: This is a good example since the sentiment expressed here is positive and the classified label matches the sentiment.

Problem: نرجو من الله ان يتقبل صلاتنا رغم ما تمر به بلدنا من ازمه صار الواحد خايف على نفسه مستعجل بصلاته انا كلما صليت اعتبرها صلاه مودع فيخشع قلبي تدمع عيناي
Solution:
POSITIVE