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: مخالفات السير اصبحت تشكل عبئ اقتصادي على المواطن 
Example Output: NEGATIVE

Example Input: عشان هيك قال النبي صلى الله عليه وسلم ان الكذب يهدي الى الفجور والفجور يهدي الى النار
Example Output: POSITIVE

Example Input: الله لا يوفقكم محد يخاف علي من البرد
Example Output:
POSITIVE