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: كان نفسي اكون شخص بارد ، يتقبل اي حاجه من غير ما يتاثر.
Example Output: NEGATIVE

Example Input: حرام والله حزنت عليه شو هالموقف الشنع
Example Output: NEGATIVE

Example Input: كلام سليم
Example Output:
POSITIVE