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

Example Input: And that makes all the difference .
Example Output: POS

Example Input: Secretary manages a neat trick , bundling the flowers of perversity , comedy and romance into a strangely tempting bouquet of a movie .
Example Output: POS

Example Input: Though there are many tense scenes in Trapped , they prove more distressing than suspenseful .
Example Output:
NEG