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: When I first heard about this series on AnimeTV,I have to say that out of all the shows that I have seen,this one tops it all off. I had to see this show,and that is what I really did. When I got the first volume of this show,it was the best. I really liked the animation,and all the fight scenes were awesome. I have to say that my favorite characters in the show were Saber,and Archer and of course I also like Illya. And of course,all the episodes on the volumes were interesting,and very cool. Another thing I have to say about the series is Michael McConnohie(famous for Transformers,and others) playing the voice of Berserker. He does have a cool character. And I even watched the entire series all over again before watching the final volume. So if you to see something good,then see this show,it's the best. Question: is it a positive review?
Output:
yes