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: Deep intelligence and a warm , enveloping affection breathe out of every frame .
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: Like coming into a long-running , well-written television series where you 've missed the first half-dozen episodes and probably wo n't see the next six .
Example Output:
NEG