You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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.

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

New input: الله لا يخلف عليهم لا يكثر خيرهم فعلن شعب مسكين عبد الله النسور بطل رفع الاسعار
Solution:
NEGATIVE