The use of patent analytics has increased exponentially over the past ten years. At the same time new tools, methods and systems have begun to emerge that seek to make the analysis of patent data easier to accomplish. Included in these new developments are a significant number of machine learning systems that have begun coming to market.<br/><br/>As these changes continue to occur, it would be useful to review a  list of the tasks associated with patent analytics and think about the types of tools, systems, or methods that a patent analyst would like to have at their disposal. Starting with a general overview of patent analytics, and with a focus on patent landscape reports, case studies and perspectives will be provided on why this work is so highly valued. <br/><br/>The presentation will conclude with a prioritized list of suggestions for how patent analytics and patent landscape creation could be aided by the further development and implementation of semantic technologies. There will also be  a tour of a new website ML4Patents.com devoted to aggregating content associated with the development of this area.

Improving patent analytics using machine learning technologies and introducing ML4Patents.com

ACS Spring Meeting 2021

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.