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: If you 're down for a silly hack-and-slash flick , you can do no wrong with Jason X.
Example Output: POS

Example Input: What might have been readily dismissed as the tiresome rant of an aging filmmaker still thumbing his nose at convention takes a surprising , subtle turn at the midway point .
Example Output: NEG

Example Input: There 's undeniable enjoyment to be had from films crammed with movie references , but the fun wears thin -- then out -- when there 's nothing else happening .
Example Output:
POS