We propose using text matching to measure the technological similarity between patents. Technology experts from different fields validate the new similarity measure and its improvement on measures based on the United States Patent Classification System, and identify its limitations. As an application, we replicate prior findings on the localization of knowledge spillovers by constructing a case-control group of text-matched patents. We also provide open access to the code and data to calculate the similarity between any two utility patents granted by the United States Patent and Trademark Office between 1976 and 2013, or between any two patent portfolios.nrpages: 37status: publishe
This paper introduces a measure of the proximity in ideas using unsupervised machine learning. Knowl...
With the advent of the knowledge economy, firms often compete for intellectual property rights. Bein...
This paper gives insight into our current research on three text mining tools for patents designed f...
We propose using text matching to measure the technological similarity between patents. Technology e...
We propose using text matching to measure the technological similarity between patents. Technology e...
Being able to effectively measure similarity between patents in a complex patent citation network is...
In this study, we examine and validate the use of existing text mining techniques (based on the vect...
Pairwise semantic similarity measures for US utility patents. Includes measures for citing/cited pat...
385-393With the increasing trend towards collaborations for innovation across organizational bound...
More than ever, technical inventions are the symbol of our society's advance. Patents guarantee thei...
Companies should investigate possible patent infringement and cope with potential risks because pate...
Competitor identification has been discussed for decades, and various frameworks and processes have ...
More than ever, technical inventions are the symbol of our society’s advance. Patents guarantee thei...
The citation network of patents citing prior art arises from the legal obligation of patent applican...
Technology intelligence plays a crucial role for corporate strategy, especially during times of acce...
This paper introduces a measure of the proximity in ideas using unsupervised machine learning. Knowl...
With the advent of the knowledge economy, firms often compete for intellectual property rights. Bein...
This paper gives insight into our current research on three text mining tools for patents designed f...
We propose using text matching to measure the technological similarity between patents. Technology e...
We propose using text matching to measure the technological similarity between patents. Technology e...
Being able to effectively measure similarity between patents in a complex patent citation network is...
In this study, we examine and validate the use of existing text mining techniques (based on the vect...
Pairwise semantic similarity measures for US utility patents. Includes measures for citing/cited pat...
385-393With the increasing trend towards collaborations for innovation across organizational bound...
More than ever, technical inventions are the symbol of our society's advance. Patents guarantee thei...
Companies should investigate possible patent infringement and cope with potential risks because pate...
Competitor identification has been discussed for decades, and various frameworks and processes have ...
More than ever, technical inventions are the symbol of our society’s advance. Patents guarantee thei...
The citation network of patents citing prior art arises from the legal obligation of patent applican...
Technology intelligence plays a crucial role for corporate strategy, especially during times of acce...
This paper introduces a measure of the proximity in ideas using unsupervised machine learning. Knowl...
With the advent of the knowledge economy, firms often compete for intellectual property rights. Bein...
This paper gives insight into our current research on three text mining tools for patents designed f...