Definition: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: It 's ... worth the extra effort to see an artist , still committed to growth in his ninth decade , change while remaining true to his principles with a film whose very subject is , quite pointedly , about the peril of such efforts .
Output:
POS