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: Snoots will no doubt rally to its cause , trotting out threadbare standbys like ` masterpiece ' and ` triumph ' and all that malarkey , but rarely does an established filmmaker so ardently waste viewers ' time with a gobbler like this .
Example Output: NEG

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: That rare film whose real-life basis is , in fact , so interesting that no embellishment is needed .
Example Output:
POS