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: لو نريد الخشوع حقا نطلق الدنيا
Example Output: POSITIVE

Example Input: دخيل عينك يادكتور كلامك ذهب
Example Output: POSITIVE

Example Input: تم تنفيذ الحكم الي في الرد الاول وتم اعدام اول راس والباقي بالطريق
Example Output:
NEGATIVE