You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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".

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?
Solution: yes
Why? There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.

New input: Review: No scenario, bad actors (poor Melissa Gilbert)... Beurk Beurk Beurk ...Give a such budget to make this... In Belgium, we make ten films which win all prices in Cannes with this.Last time that I've seen a such NULL-Film was Hypercube. But scenario was better.Is anyone knows if the director was a graduate in school-film or a cop ?The better things in this film was the word "End".Why authorize to sell this ? 1c is to expensive. I've pay ten dollars to buy this.For me, pay for this was my BIG MISTAKE of millennium.Too bad.Next time I'll break my arm but buy this type of sh*t. Question: is it a positive review?
Solution:
no