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: I think you would have to be from the USA to get a lot of the jokes. But if you liked Princess Bride and Forest Gump, You would like this movie. You can't compare the quality of the filming to those of course, but having the cameraman trip was obviously done on purpose. Killer Tomatoes is a hundred times better than Nepolean Dynamite. Just my opinion. I'm sure that people from France would not appreciate the caricatures of the French. So this film isn't for a world audience. And while I am not a trained film critic, I know what I like. I couldn't stop laughing through the whole movie. My sides and my jaws were hurting at the end of the movie. Question: is it a negative review?
Output:
no