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 first saw this movie on MST3K. And although I laughed my posterior off at the jokes, I don't particularly think this movie was all that bad. Sure it was a little hard to understand it is quite obviously low budget, But it had a very Hitchcock-like plot and I can honestly say that when I viewed the non-MST3K version, I was genuinely entertained. This movie is crying out for a Hollywood remake. Question: is it a positive review?
Output:
no