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

Now, solve this: Review: in fact,it's basically the same movie.and they couldn't even get the time line of events correct.maybe that was intentional due to laziness or not caring.either way,this thing is a real woofer.it doesn't even deserved to be called a movie.i viewed this as a so called second feature on the disc containing the original The Boogeyman.i thought my head would explode,and i urge you to run as far in the opposite direction of this thing,if you should be cursed with the misfortune of combing across it's path.it should come with a warning label like:Warning-may cause your i.q to drop several points if you are within it's vicinity.for me,there's no doubt this thing is a 0/10 Question: is it a positive review?
Solution:
no