Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.

Ex Input:
Review: It does an excellent job on mildewed wood such as decks and deck furniture without using chemical mode which is the only weak link in an otherwise strong chain. Unfortunately, the only effective chemical solution is chlorine which acts more or less on its own but cannot be used with this machine. Safe cleaners, such as Simple Green are no more effective than when used without them. Other than that, it's a great product. 
 Polarity: Negative

Ex Output:
False


Ex Input:
Review: I was most struck with the information about what happens to us physically when we watch television. The very act of watching itself, without reference to content, changes the way our brains operate. I recommend this to all teachers, parents, and broadcast journalists. 
 Polarity: Negative

Ex Output:
False


Ex Input:
Review: if you are like me and like to go through specials features and "making of" documentary, this is not the BD to buy. This is the second time I make the same mistake. The first time I bough Avatar BD when it came out, and it only had the movie nothing else. It is a waste of BD room space to make such releases without having a single special feature. Wait for the Special Edition, full feature, BD release! The movie was fun, but this BD should have been price at $10.00 USD which is the price one pays these day to see just a movie. I will have to wait for the Special Edition, and give my copy to my young daughter who lives with her mom. As I said, the movie is fun, but not the price of this BD, and this will be the last time I make this mistake. I need to be more patient and not fill these mogul movie makers' pocket with our HARD earned MONEY. What do you think? Any opinions? 
 Polarity: Positive

Ex Output:

False