Given the task definition, example input & output, solve the new input case.
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".
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?
Output: yes
There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.

New input case for you: Review: Six different couples. Six different love stories. Six different love angles. Eighty numbers of audience in the movie theater. Looking at the eighty different parts of the silver screen.I am sitting in somewhere between them looking at the center of the screen to find out what's going on in the movie. All stories have got no link with each other, but somewhere down the line Nikhil Advani trying to show some relation between them. I tried to find out a few lines I could write as review but at the end of 3 hours 15 minutes found nothing to write. The movie is a poor copy of Hollywood blockbuster LOVE ACTUALLY.My suggestion. Don't watch the movie if you really want to watch a nice movie. Question: is it a negative review?
Output:
yes