Teacher: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Review: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt. Question: is it a positive review?
Solution: yes
Reason: There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.

Now, solve this instance: Review: Kusturika made it again. Another masterpiece. A coral comedy full of his own landmarks, with a frenetic rhythm and many glorious moments, we laughed and laughed, what a party! The music is everywhere, and also the shooting, the animals, the crazy bastards, sex and amazing gadgets and inventions, everything colorfully visual to entertain only. Pure cinema in essence. A wonderful experience to watch. And one is specially grateful since good comedies are so rare, and so wonderful. Well, this is one, and if you enjoyed Kusturica's previous films, you'll love this, although, as in all comedies, it is about a chemical reaction, and you have to be in the mood for it. Question: is it a positive review?
Student:
yes