Towards a Predictive Patent Analytics and Evaluation Platform
This work addresses the need for better predictive tools in patent analytics, but it appears incremental as it builds on existing methods without introducing a new paradigm.
The authors tackled the limited predictive capabilities of existing patent mining systems by developing a platform that uses state-of-the-art machine learning and deep learning techniques to improve patent understanding for inventors, evaluators, and business analysts, though no concrete results or numbers are provided.
The importance of patents is well recognised across many regions of the world. Many patent mining systems have been proposed, but with limited predictive capabilities. In this demo, we showcase how predictive algorithms leveraging the state-of-the-art machine learning and deep learning techniques can be used to improve understanding of patents for inventors, patent evaluators, and business analysts alike. Our demo video is available at http://ibm.biz/ecml2019-demo-patent-analytics