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: ارحمونا صرنا نصف السياره نطلع بالباص حرام عليكم
Example Output: NEGATIVE

Example Input: فعلا برنامج ساقط واللي بيتابعه اسقط منه
Example Output: NEGATIVE

Example Input: اوسخ شي المناديل
Example Output:
NEGATIVE