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: It 's the movie equivalent of a sweaty old guy in a rain coat shopping for cheap porn .
Example Output: NEG

Example Input: I walked away from this new version of E.T. just as I hoped I would -- with moist eyes .
Example Output: POS

Example Input: Neither the funniest film that Eddie Murphy nor Robert De Niro has ever made , Showtime is nevertheless efficiently amusing for a good while .
Example Output:
POS