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".

Example input: Review: Arrived broken. Manufacturer defect. Two of the legs of the base were not completely formed, so there was no way to insert the casters. I unpackaged the entire chair and hardware before noticing this. So, I'll spend twice the amount of time boxing up the whole useless thing and send it back with a 1-star review of part of a chair I never got to sit in. I will go so far as to include a picture of what their injection molding and quality assurance process missed though. I will be hesitant to buy again. It makes me wonder if there aren't missing structures and supports that don't impede the assembly process.
Category: furniture
Example output: True
Example explanation: It's the correct category. Because the customer gives a review of the product which belongs to the furniture category, which we can see it from the way the customer describes his experience sharing how he unpackaged his chair.
Q: Reviews: I would not recommend this product. It was not easy set up. It took two hours and and I only got it to work by creating a new account with a different email address. Support was no help at all. Then it logged me off after a month of use. I Logged back in. (With the email address that i could t set it up with bc I forgot I used a different one). It of course would not connect to WiFi, but then it did but wouldn't pair with my phone (wrong email). After numerous failed attempts it wouldn't even connect to the WiFi. I contacted support and after three hours they said there was no account for my email. Note: the first thing they ask you for is your email. Three hours later the tell me no account found and that's when I tempered this was the same issue I had at set up and that I used a different email. It's back up now, but three hours??? The support is lacking.
Category: camera
A:
True