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: As this movie is completely in Swiss dialect, it's probably hard for most German speakers to really follow this movie. I'm not from Switzerland, but I worked there for some years, so I had the chance to understand this great spoof of the Lord of the Rings. I've seen a lot of movies of this kind (eg. Scary Movie, loads of Scifi spoofs etc.) but this one is the best one of that kind, I've seen so far. I give a 9 of 10. The only reason I can't give a 10 is, because there are some little details which could have been done better and because they supplied no subtitles in any language on the DVD, so there's almost no chance for non-Swiss to understand. Question: is it a negative review?
Output:
no