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: The movie is like a year late for tapping into our reality tv obsession , and even tardier for exploiting the novelty of the `` webcast . ''
Example Output: NEG

Example Input: Overwrought , melodramatic bodice-ripper .
Example Output: NEG

Example Input: Both deserve better .
Example Output:
NEG