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Text matching to measure patent similarity

Author

Listed:
  • Sam Arts
  • Bruno Cassiman
  • Juan Carlos Gomez

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.

Suggested Citation

  • Sam Arts & Bruno Cassiman & Juan Carlos Gomez, 2017. "Text matching to measure patent similarity," Working Papers of Department of Management, Strategy and Innovation, Leuven 590543, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
    • Handle: RePEc:ete:msiper:590543
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    Keywords

    text mining; matching; patent; patent classification; technological similarity;
    All these keywords.

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