You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.

Example Input: I bought this to take a check mark off of the bucket list, but my wife and I had a cup of this and both of us immediately got sick with a headache and vomiting profusly. What made it worse it's Christmas and this day is shot now. We're coming through it but I'm sorry to say but my bucket list was almost over before it got started. Try if you want but it's made us sick and almost in the hospital. This is a Christmas I'd like to forget.
Example Output: Negative

Example Input: The Prepara Herb Savor Pod is advertised holding asparagus. That was why I purchased it, thinking it would be good for keeping asparagus fresh. In reality the pod will hold very few spears and they would need to be quite thin and short.  The ad is misleading. I'll keep it for storing herbs, but asparagus is out of the question.
Example Output: Negative

Example Input: I bought this because it shows that the Hazelnut Dark Roast is part of the mix. It is not. Instead it is the regular version of GMC's Hazelnut. The regular version is weak - I knew it was from past experience, so I would not have bought this product if I had realized it contained their regular hazelnut coffee. Amazon has a terrible time with keeping up with accurate information on their website at least as it pertains to k-cups. (I called in w/a question about product count for packaging on another occasion due to the price point for the qty shown - their C/S people couldn't confirm one way or another. The result - I didn't buy the product from Amazon) You have to change out descriptions and product information and keep it up to date - but instead, I see they put a disclaimer that they are not responsible. That the descriptions and counts may not be accurate. Choosing to make that statement versus the effort of updating their product information doesn't make me want to buy my k-cups from Amazon.
Example Output:
Negative