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: Steve Carell once again stars in a light romantic movie about choices, family and pressure. By judging on the plot and cover art of the movie I was expecting a flat-out comedy, lots of laughs and unrealistic elements, but I guess I was wrong. Sure the movie had some comedy, but it felt much more of a light Drama to me and Steve Carell once again gave a great performance. The movie itself really tackles true observations and that was a strong element I found. But, the ending felt a little bit rushed and predictable. Through-out, the cinematography was great, the acting was great and the message it delivered was obvious but yet still very important. Though, it came down to old, flat and predictable ending. I'd reckon if different choices were made at the end of the movie (perhaps for the bad, even) this movie would get better publicity. Still a fun movie. Question: is it a positive review?
Solution:
yes