Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.

Example Input: Got this at a great deal and loved the movie. It's nice that I can watch it on my iTouch anytime and not on Flixster under restrictions.
Example Output: Positive

Example Input: Beautifully photographed but over-produced historical women's picture on an epic scale. Yes, it has its fans but so do those dime-a-dozen bodice-ripper romance novels on supermarket racks. Still, gorgeous cinematography and a lusher-than-lush musical score can't disguise the fact that this David Lean misfire is an overblown snooze of elephantine proportions. A pallid Sarah Miles manages to suggest what Julie Christie might have done with this part, horribly miscast Robert Mitchum plays a flower-pressing milquetoast and a dazed-looking Christopher Jones is so bad his voice had to be dubbed. However, John Mills received richly-deserved Oscar for his portrayal of village idiot struck dumb by plot inanities he witnesses in mute silence. No wonder he's speechless.
Example Output: Negative

Example Input: I heard a short segment on Stu Epperson's radio show as he discussed investments with Steven Selengut. I heard enough to prompt me to search for his book on the internet. As a securities rep. myself, Steve appears to be "right on the money". I didn't want to put the book down until I was through. Steve's trading strategy is refreshing information that should make a lot of people a lot of money with less risk. I have even contacted him with a couple of questions and was pleased with his prompt and courteous response. Thank you Steve for sharing your success with everyone. In your next book, please remember that all "advisors" are not "sharks", some of us do put our clients first.
Example Output:
Positive