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: كلام جى فى وقته
Example Output: POSITIVE

Example Input: ربى يزيدن ايمان وتقه يارب
Example Output: POSITIVE

Example Input: من اسرار النجاح المتواصل والثبات على القمه: العمل الدؤوب والانضباط بالمواعيد والاعمال والتفكير الايجابي
Example Output:
POSITIVE