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: فطست ضحك على الشايب
Example Output: NEGATIVE

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

Example Input: سلمت امري ربي عالمين رغم البعد احس ان ربنا رح يكتب ويجمعنا ويكون نصيبي
Example Output:
POSITIVE