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: I first saw this as a child living in East London. The scars of Hitlers Luftwaffe were all too evident and the landscape of the movie was reminiscent of our street. I remember having nightmares after seeing it. The odd thing is, it really hasn't dated if viewed as a piece of social history in Cinema fiction. Apart from a globally destructive war, the scale of the machines was badly awry, more Nano-Technology now, but overall, an excellent and well-crafted work. It was interesting to see how space travel was perceived back then. I would think that firing a spacecraft from a gigantic gun would almost certainly kill the astronauts. However, much was right. Mans desire for war, mans inhumanity to man. The means of war as a catalyst for development. Question: is it a negative review?
Output:
no