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: Great cast. Great acting. Unpredictable story line for the first halfhour or so. I was really wanting to know what was going tohappen to each of these unredeeming characters, and how theirseemingly disparate lives would become intertwined. But whenthe writers took out the glue to start connecting the players, theymistakenly used super glue and brought the movie to a standstillfor the last two hours. I kept thinking it would get better, but it onlygot worse. Don't believe the reviews. This is a waste of time. Think about it -- Tom Cruise made ugly -- why? The gorgeoushunky bartender wearing braces -- why? I know it had to do withthe plot, but without them, at least there would have been oneattractive cast member to remember. Question: is it a negative review?
Solution:
yes