A Use Case of Patent Classification Using Deep Learning with Transfer Learning

Abstract

Patent classification is one of the areas in Intellectual Property Analytics (IPA), and a growing use case since the number of patent applications has been increasing worldwide. We propose using machine learning algorithms to classify Portuguese patents and evaluate the performance of transfer learning methodologies to solve this task.

Keywords

• natural language processing (nlp)
• patent classification
• transfer learning
• bi-directional encoder representations for transformers (bert)