Text matching to measure patent similarity

Sam Arts, Bruno Cassiman and Juan Carlos Gomez

No 590543, Working Papers of Department of Management, Strategy and Innovation, Leuven from KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven

Abstract: 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.

Keywords: text mining; matching; patent; patent classification; technological similarity (search for similar items in EconPapers)
Date: 2017-08
New Economics Papers: this item is included in nep-ino, nep-ipr and nep-tid
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Published in FEB Research Report MSI_1708

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https://lirias.kuleuven.be/retrieve/465085 Published version (application/pdf)

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Journal Article: Text matching to measure patent similarity (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:ete:msiper:590543

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