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: Please do not waste +/- 2 hours of your life watching this movie - just don't. Especially if someone is fortunate to be snoozing at the side of you. Damn cheek if you ask me. I waited for something to happen - it never did. I am not one of those people to stop watching a movie part way through. I always have to see it through to the end. What a huge mistake. Do yourself a favour and go and paint a wall and watch it dry - far more entertaining. Please do not waste +/- 2 hours of your life watching this movie - just don't. Especially if someone is fortunate to be snoozing at the side of you. Damn cheek if you ask me. I waited for something to happen - it never did. I am not one of those people to stop watching a movie part way through. I always have to see it through to the end. What a huge mistake. Do yourself a favour and go and paint a wall and watch it dry - far more entertaining. Question: is it a negative review?
Solution:

Show your work and conclude with the exact phrasing "Therefore, the final answer is [answer]." where [answer] is just the final number or expression that solves the problem.
user
yes