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: In addition to the overcooked , ham-fisted direction , which has all the actors reaching for the back row , the dialogue sounds like horrible poetry .
Example Output: NEG

Example Input: Snoots will no doubt rally to its cause , trotting out threadbare standbys like ' masterpiece ' and ' triumph ' and all that malarkey , but rarely does an established filmmaker so ardently waste viewers ' time with a gobbler like this .
Example Output: NEG

Example Input: Is n't as sharp as the original ... Despite some visual virtues , ' Blade II ' just does n't cut it .
Example Output:
NEG