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: Miller comes at film with bracing intelligence and a vision both painterly and literary .
Example Output: POS

Example Input: True to its title , it traps audiences in a series of relentlessly nasty situations that we would pay a considerable ransom not to be looking at .
Example Output: NEG

Example Input: Jolting into Charleston rhythms , the story has the sizzle of old news that has finally found the right vent ( accurate ?
Example Output:
POS