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Identifying technology clusters based on automated patent landscaping

Author

Listed:
  • Bergeaud Antonin
  • Verluise Cyril

Abstract

We introduce a new general methodological approach for accurately and consistently retrieving a large set of patents related to specific technologies. We build upon the automated patent landscaping algorithm by incorporating a tractable amount of human supervision to improve the accuracy and consistency of our results. We demonstrate the efficacy of our approach by applying it to six novel and representative technologies: additive manufacturing, blockchain, computer vision, genome editing, hydrogen storage, and self-driving vehicles.

Suggested Citation

  • Bergeaud Antonin & Verluise Cyril, 2023. "Identifying technology clusters based on automated patent landscaping," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-17, December.
    • Handle: RePEc:plo:pone00:0295587
    DOI: 10.1371/journal.pone.0295587
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    References listed on IDEAS

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    4. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    5. Boubacar Diallo & Wilfried Koch, 2018. "Bank Concentration and Schumpeterian Growth: Theory and International Evidence," The Review of Economics and Statistics, MIT Press, vol. 100(3), pages 489-501, July.
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