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: IT IS So Sad. Even though this was shot with film i think it stinks a little bit more than flicks like Blood Lake, There's Nothing Out There & . The music they play in this is the funniest stuff i've ever heard. i like the brother and sister in this movie. They both don't try very hard to sound sarcastic when they're saying stuff like "My friends are going to be so jealous!" Hey, whats with the killer only wearing his mask in the beginning? Thats retarded! I practically ignored the second half of this. My favorite part about this movie is the sound effect they use when the killer is using the axe. The same exact sound for every chop! Question: is it a negative review?
Output:
yes