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 wasn't the major disaster that I was expecting, but that is about as positive as I can be in my description of the movie. I'm not sure what was meant to be funny about this movie, but I suppose it's all a matter of taste. Personally, I don't find it funny to watch morons living their idiotic lives or making fools of themselves on television, but then again, I'm not a fan of Jerry Springer's pathetic daytime talk show. I didn't get too bored watching this, but I was definitely never enjoying it, either. If you're in the mood to see a bad movie, but one that isn't too painful to sit through, this is a good choice. Question: is it a positive review?
Output:
no