Lecture: 'Uncovering Insight from Patent Data Using Text Mining'
April 20, 2018
11:00 am-12:00 pm
Integrative Learning Center
UMass Amherst Campus
David Khachatryan of Babson College will provide a background on patenting, and discuss one of his ongoing projects that involves text mining of patents related to cybersecurity.
Abstract: "In 1790, President George Washington signed a bill launching a framework which over decades evolved into the modern patent system in the United States. Today the United States Patent and Trademark Office (USPTO) receives more than half a million patent applications every year. Significant amount of patent data are available to researchers and can be obtained from various sources such as the official website of the USPTO, Google Patents, Clarivate Analytics, and Orbit Intelligence, to name a few. To a quantitative professional that translates into big data, which can be mined using statistical and machine learning tools. My work relates to mining of patent data to uncover insights that can be valuable to entrepreneurs, inventors, and patent examiners. In this talk, I will provide a background on patenting, and discuss one of my ongoing projects that involves text mining of patents related to cybersecurity. I will discuss how topic modeling and in particular Latent Dirichlet Allocation (LDA) can be used to define a measure for assessing the alignment between the claims of a patent and its specification."
The Integrative Learning Center is located in the center of campus, between the campus pond and the Campus Center.