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: It's hard to put your finger on this one. Basically I suppose it's a comedy about an idle rich drunk who falls in love with a (comparatively) poor girl, whom he wants to marry at the risk of being disowned by his family.It has funny moments, romantic moments, and touching moments. Dudley Moore is funny and somehow makes his self-centred character endearing, Liza Minelli is a convincing foil as the the feisty opposite he attracts, but John Gielgud steals the show as Arthur's wonderfully sarcastic butler.It's corny but great fun with a memorable soundtrack, and ran for nearly 3 months at our local fleapit. Question: is it a negative review?
Output:
no