In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".

Input: Consider Input: Reviews: When I got home from work today I was excited to see that the dresser had arrived a day early, only to then see that the box was nearly torn open at the top and a part was also almost falling out of the side of the two boxes that were taped together to ship this product. I didn't let that get me down though and got right to work on getting everything out to start assembling this dresser. Upon opening the boxes I found all the pieces just kind of shoved in there with no styrofoam or anything between the parts. Several parts were a bit damaged, but I was just hoping they would be on the inside so that the damage wouldn't be noticed. But then I noticed some parts missing: one of the black drawer panels, a leg, and all the screws/pegs that would hold it together. In short I will be returning the dresser.
Category: furniture

Output: True

Input: Consider Input: Reviews: I have had this product for 3 months. It is easy to assemble and looks very nice but falls apart easily. The bolts are tight when installed but become loose over time and use. Then the seat slides around and needs to be tightened again and again. I have not had any problems with the round seat I purchased, just the elongated ones. This is an updated review. I am having to replace both of the elongated seats after about 4 months of use. The seats keep falling apart and sliding around. Beware!!!!!
Category: other

Output: False

Input: Consider Input: Reviews: The screen protector kit I received was in total disarray. The screen protectors were out of their protective shields with no adhesive to attach them to the camera. The wiping clothes when opened were totally dried out, no instructions include, ect. Bad experience, not recommended.
Category: camera
Output: True