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".

Let me give you an 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?
The answer to this example can be: yes
Here is why: There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.

OK. solve this:
Review: This movie is hilarious, not in good way. The fights are awfully bad done, while sometimes they will try to shock you by breaking some bones, and even this happens only two or three times, definitely not enough to call it a shockmovie. A gunfight means a hero can walk into an open field with 10 people shooting at him with uzi's, pick up a gun, start shooting back and not get hurt. The story empty, guy waking up, lost his memory, starts fighting cos that's what he's good at. Five years later memories come back, takes revenge blablabla. Not worth your buck, not really worth your time unless you're drunk and bored. Question: is it a negative review?
Answer:
yes