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.

Example Input: والله الرساله دي جاتلي في وقتها قولت اكيد ربنا بعتهالي الحمد لله وخات القرار
Example Output: POSITIVE

Example Input: العاهات اللي عندهم ياناس روحو موتو اشرف
Example Output: NEGATIVE

Example Input: كافر ملعون جهنم باذن الله
Example Output:
NEGATIVE