  Patent classification is an essential task in patent information management
and patent knowledge mining. It is very important to classify patents related
to artificial intelligence, which is the biggest topic these days. However,
artificial intelligence-related patents are very difficult to classify because
it is a mixture of complex technologies and legal terms. Moreover, due to the
unsatisfactory performance of current algorithms, it is still mostly done
manually, wasting a lot of time and money. Therefore, we present a method for
classifying artificial intelligence-related patents published by the USPTO
using natural language processing technique and deep learning methodology. We
use deformed BERT and sentence attention overcome the limitations of BERT. Our
experiment result is highest performance compared to other deep learning
methods.
