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: وجه الفطيره قبل تعيب الناس انظر الى حالك
Example Output: NEGATIVE

Example Input: قال حكم قال
Example Output: NEGATIVE

Example Input: للهم خذهم اخد عزيز مقتدر فانهم لا يرحموا الضعفاء اللهم سلط عليهم عذابك فانهم ارونا الويلات
Example Output:
NEGATIVE