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Towards a Predictive Patent Analytics and Evaluation Platform

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arxiv 1910.14258 v1 pith:YVQTZJCT submitted 2019-10-31 cs.DL cs.LG

Nebula Alam , Khoi-Nguyen Tran , Sue Ann Chen , John Wagner , Josh Andres , Mukesh Mohania This is my paper · ORCID
classification cs.DLcs.LG
keywords patentpredictivedemolearningmanypatentsacrossalgorithms
verification ladder T0 review T1 audit T2 compute T3 formal

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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

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