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: I found myself liking the film , though in this case one man 's treasure could prove to be another man 's garbage .
Example Output: POS

Example Input: With Dickens ' words and writer-director Douglas McGrath 's even-toned direction , a ripping good yarn is told .
Example Output: POS

Example Input: The pretensions -- and disposable story -- sink the movie .
Example Output:
NEG