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: لا ربنا يرحمنا برحمته
Example Output: POSITIVE

Example Input: دار الزمن وصار الوسط الفني كله نفس ذي العاهات ووضحكو هما علينا
Example Output: NEGATIVE

Example Input: مجانين احد يضحك عليك وانتم قدامه وتكمل
Example Output:
NEGATIVE