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: Sorry. Someone has to say it. This really is/was a dull movie. Worthy perhaps, but dull nonetheless. I nearly cried with boredom when watching it. The acting is pretty dire, the story drawn out and predictable, the score and camera-work totally standard and unexciting. It's one of those movies you are not allowed to hate (becase it is about disabled people) but hate it I suspect nearly everyone does. It is interesting that critics have been so kind to this movie. I suppose they too are not allowed to be objective. This was made to win awards - which I remember it duly did. But it was neither interesting nor entertaining. I haven't seen the play so cannot compare. Question: is it a positive review?
Answer:
no