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: I was really horrified by this eerie movie. What an unusual dark atmosphere. And such a creepy musical score. Really promising! Indeed, after ten minutes you really start sweating, and feeling uncomfortable, for you start fearing the worst. This movie has the atmosphere of a true nightmare, and what's worse-it all comes out. For one hour and a half I have been trying to fight complete boredom and falling asleep, but the monstrous soundtrack kept me awake. Nuit Noire is a truly horrifying picture - for your eyes, your ears, your intelligence, and most of all: your wallet, since the thought of spending precious money on a movie ticket for this cheap amateuristic homevideo is the biggest horror of all. Question: is it a positive review?
Answer:
no