In this task, 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 ordered a king This mattresses is super comfortable, the measurements provided online were accurate. I was really nervous about ordering one I couldn’t try out but I went to a mattress store previously to try them out. I tried a hybrid mattress I fell in love with that was about $1500 but I just couldn’t pay that much for a mattress right now and it feels just like this one, I’m super pumped, it is sooooooooo soft but not to soft. 😁
Example Output: positive

Example Input: We were very disappointed with this product and plan to return it. Neither of us is a train hobbyist; we purchased this to put on a table top around a small Christmas tree. Parts were broken, misaligned, and did not easily 'push' together. The notes below detail these issues. 1. One of the linkage bars on the train engine was not attached to the main drive wheel and just flopped around. Since the bar wasn't necessary I decided to tape it to the side of the engine and see how the train operated. 2. The coupler height between the coal tender and the passenger cars was mismatched to the point that the car would become disconnected whenever the train would go into a curve. I tried each car but they were all the same. 3. The track didn't just 'snap' together. It was necessary to slightly wiggle and twist the track when pushing it together so the small metal clips engaged with the metal part of the track. In several cased I had to use the tip of a knife to lift the metal clip up into place while pushing everything together.
Example Output: negative

Example Input: My fiancée absolutely loves this! I thought for sure with the great deal that after a month or so, the jewel would fall off or something, but it’s held up really well and looks great! He brings it to work with him everyday in the sun and hot weather as a lineman and it’s still holding out nicely!
Example Output:
positive