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: This movie is probably for you. It had an overall meditative quality from the music, to the beautiful photography, and listening to the often cliche things about life that Andy Goldsworthy would say as he worked or in between shots. If you're familiar with Buddhism- that is the sort of the sense I got out of this film. The impermanence of life, the beauty of nature, the interconnectedness of all things, etc. However, what I did not understand, confused, and ultimately forced me to leave without finishing (I saw over an hour of it) was the redundancy of the whole thing. You only find out bits and pieces of why he's commissioned, and how he can even afford to live off of this kind of work. The art work comes alive but all his talking with no conclusions leads to dead ends. Question: is it a positive review?
Output:
yes