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: There 's a neat twist , subtly rendered , that could have wrapped things up at 80 minutes , but Kang tacks on three or four more endings .
Example Output: NEG

Example Input: ` God help us , but Capra and Cooper are rolling over in their graves . '
Example Output: NEG

Example Input: Ultimately , the film amounts to being lectured to by tech-geeks , if you 're up for that sort of thing .
Example Output:
NEG