Towards a Predictive Patent Analytics and Evaluation Platform
Digital Libraries
2019-11-01 v1 Machine Learning
Abstract
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
Cite
@article{arxiv.1910.14258,
title = {Towards a Predictive Patent Analytics and Evaluation Platform},
author = {Nebula Alam and Khoi-Nguyen Tran and Sue Ann Chen and John Wagner and Josh Andres and Mukesh Mohania},
journal= {arXiv preprint arXiv:1910.14258},
year = {2019}
}
Comments
ECML-PKDD 2019 - Demo Track