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: اهلا وسهلا بشخصك الكريم
Example Output: POSITIVE

Example Input: اللهم اني اسالك فعل الخيرات و ترك المنكرات و حب المساكين و ان تغفر لي و ترحمني و تتوب علي
Example Output: POSITIVE

Example Input: مسوي انه مندهش
Example Output:
NEGATIVE