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 just great. if you have a chance to see it, then you should run to see it. even though the movie has almost nothing to do with its original from 1932, Pacino does a great job playing as Tony Montana to get around. Pacino has this way about him where he can say anything in anyway and make it sound just great. if you thought that Pulp Fiction was good with the swear words (if you saw it) then you should also see Scarface to see another angle at how an actor can say them. (its quite sweet) even though the movie is has a lot of action and the plot moves very fast through time, not keeping the realtime aspect ratio correct, it is still easy to follow along, but you must keep your eyes peeled at all times to not lose anything. personally, i have found that watching this movie makes three hours seem like a breeze, it is really just that great. this movie is one of thoe movies that is acted and directed so well that not only do you forget that this movie was made in the crappy 80s but that it makes you actually root for the bad guy... "So say good night to the BAD guy" Question: is it a negative review?
Output:
no