Given the task definition, example input & output, solve the new input case.
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?
Output: yes
There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.

New input case for you: Review: This movie is terrible. Carlitos Way(1993) is a great film. Goodgfellas it isn't but its one of the better crime films done. This movie should be considered closer to THE STING Part2 or maybe speed Zone. Remember those gems! The only reason this movie was made was to capitalize on the cult following of the original. This movie lacked everything De Palma, Pacino and Penn worked so hard on. There wasn't a likable character and that is the fault of everyone responsible for making it. I hope RISE TO POWER wins every RAZZIE it possibly can and maybe even invent some new categories to allow it be a record holder. After I watched this S@*T FEST movie, I sat down and watched the original Carlitos way to get th bad taste out of my mouth. After watching this I wish Pachanga came and whacked me out of my misery. Question: is it a positive review?
Output:
no