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 was no Trainspotting or Guy Ritchie film. It was a big wannabee. It wanted to be an edgy, nervous-laughter, urban-life affirming film, but it's more of a camera jerky, mess. It's a lot easier to imitate something else, than to create a real story with real characters. From the beginning, I couldn't care less about the characters or what they were involved in. They were always always hitting, pissing, or crying on each other. Only, there wasn't any substance to what they were doing. The dialog between characters is meant to be hip, revealing, instead it comes out trite, and one scene after another is predictable. I know there are viewers out there that really liked this movie, so I could be wrong. Question: is it a negative review?
Output:
yes