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: خت قرار كتير وبرجع تاني بحاول اتغير ومش عرفه
Solution:
POSITIVE