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: سلمت سلمت يداك انها الاخلاق الكريمه التي علمنا اياها رسولنا الاعظم صلوات الله سلامه عليه اننا انشاء الله سنفعل ما بوسعنا حتى نرسم صوره راقيه جميله عن ديننا اخلاقنا الله المستعان
Solution:
POSITIVE