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.
One example is below.
Q: ... ... 80 %
A: POSITIVE
Rationale: This is a good example since the sentiment expressed here is positive and the classified label matches the sentiment.
Q:
A:
NEGATIVE