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 input: 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?
Example output: yes
Example explanation: There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.
Q: Review: OK, this movie starts out like a cheesy Lifetime movie and doesn't get better till almost well through the movie. The script is full of 'cheese' and 'fluff' and cast is not well directed for the most part. For the first half of the movie the little girl grated on my nerves. I do not think this is one of her best acting jobs. The only reason I bought the movie is because it was on sale and had Ellen Burstyn in it. She's terrific but this is also not one of her best acting gigs. The story is based on true events and that helps the movie. Actually, I didn't even like the movie at first and was getting disgusted when I saw stills of the balloon traveling, I mean..let it get where it's suppose to go and be done with it! But all is forgiven by the time it does reach it's destination and the story comes to a close. If this doesn't bring a tear to your eye, nothing will! It's cheesy and predictable but also makes you feel good about the world again. Question: is it a positive review?
A:
yes