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".

Let me give you an 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?
The answer to this example can be: yes
Here is why: There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.

OK. solve this:
Review: The previous poster obviously worked on the movie. It's a joke how bad it is and no one would review this kind of movie the way he did.Mentioning all of the actors' names and what they were in previously is a sure sign that he's involved with it in some way.It's on Cinemax right now and I was sure this was some movie where porn stars (the one called Ava is gorgeous and well-endowed) were forced to make something else for some crazy tax reason.Also, when I first saw it, I was sure it was made in about 1986, and I was born in '73, so I thought I knew what i was talking about...but no...it was made in 1993!! Unbelievable!Though I would call it one of those so bad it's good movies. Like watching a train wreck. Question: is it a negative review?
Answer:
yes