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".
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?
Example solution: yes
Example explanation: There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.

Problem: Review: This movie may seem scary on commercials, but the actual movie was a reason to vomit. This is a below below average, (even lower than that) and has no plot. I mean every house can make you feel scared and sure, a dead Japanese woman would scare the poop out of you, but so what? Make a movie that would appeal to watchers and not just show images of scared people and some hair (dead Japanese woman). Can you say "horrible rip-off of Samara (The Ring)"? Don't get me started with the "dead child". Not even that scary! So what? He has a cat and he can imitate it, big freaking deal! Just bury the poor zombies and save some lives that have the potential of being harmed by the Grudge! 1/10! Yuck! >.< Question: is it a positive review?
Solution: no