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.

[EX Q]: وين الماء كل يوم الميه مقطوعه
[EX A]: NEGATIVE

[EX Q]: يارب اهدنا وقوى عزيمتا الى ما تحب وترضى
[EX A]: POSITIVE

[EX Q]: يا رب ان امسيت بحزن فاصبحني بفرح، و ان نمت على ضيق فايقظني على فرج و ان كنت بحاجه فلا تكلني الا لسواك
[EX A]:
POSITIVE