IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v9y2024i4p52-d1367920.html
   My bibliography  Save this article

Natural Language Processing Patents Landscape Analysis

Author

Listed:
  • Hend S. Al-Khalifa

    (Department of Information Technology, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Saudi Arabia
    iWAN Research Group, King Saud University, Riyadh 11543, Saudi Arabia)

  • Taif AlOmar

    (iWAN Research Group, King Saud University, Riyadh 11543, Saudi Arabia)

  • Ghala AlOlyyan

    (iWAN Research Group, King Saud University, Riyadh 11543, Saudi Arabia)

Abstract

Understanding NLP patents provides valuable insights into innovation trends and competitive dynamics in artificial intelligence. This study uses the Lens patent database to investigate the landscape of NLP patents. The overall patent output in the NLP field on a global scale has exhibited a rapid growth over the past decade, indicating rising research and commercial interests in applying NLP techniques. By analyzing patent assignees, technology categories, and geographic distribution, we identify leading innovators as well as research hotspots in applying NLP. The patent landscape reflects intensifying competition between technology giants and research institutions. This research aims to synthesize key patterns and developments in NLP innovation revealed through patent data analysis, highlighting implications for firms and policymakers. A detailed understanding of NLP patenting activity can inform intellectual property strategy and technology investment decisions in this burgeoning AI domain.

Suggested Citation

  • Hend S. Al-Khalifa & Taif AlOmar & Ghala AlOlyyan, 2024. "Natural Language Processing Patents Landscape Analysis," Data, MDPI, vol. 9(4), pages 1-17, March.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:4:p:52-:d:1367920
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/9/4/52/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/9/4/52/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Benjamin Balsmeier & Mohamad Assaf & Tyler Chesebro & Gabe Fierro & Kevin Johnson & Scott Johnson & Guan‐Cheng Li & Sonja Lück & Doug O'Reagan & Bill Yeh & Guangzheng Zang & Lee Fleming, 2018. "Machine learning and natural language processing on the patent corpus: Data, tools, and new measures," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(3), pages 535-553, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    2. Bryan Kelly & Dimitris Papanikolaou & Amit Seru & Matt Taddy, 2021. "Measuring Technological Innovation over the Long Run," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 303-320, September.
    3. Jan-Bart Vervenne & Julie Callaert & Machteld Hoskens & Bart Looy, 2022. "To what extent do SMEs contribute to Europe’s patent stock? A methodological outline for creating a Europe-wide SME technology indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3049-3082, June.
    4. Jeffrey L. Furman & Markus Nagler & Martin Watzinger, 2021. "Disclosure and Subsequent Innovation: Evidence from the Patent Depository Library Program," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 239-270, November.
    5. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," Working Papers hal-04067326, HAL.
    6. Donald E. Bowen & Laurent Frésard & Gerard Hoberg, 2023. "Rapidly Evolving Technologies and Startup Exits," Management Science, INFORMS, vol. 69(2), pages 940-967, February.
    7. Na Zhang & Lu Cheng & Chao Sun & Julie Callaert & Bart Looy, 2023. "The role of inter- and intra-organisational networks in innovation: towards requisite variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4117-4136, July.
    8. David Autor & David Dorn & Gordon H. Hanson & Gary Pisano & Pian Shu, 2020. "Foreign Competition and Domestic Innovation: Evidence from US Patents," American Economic Review: Insights, American Economic Association, vol. 2(3), pages 357-374, September.
    9. Q. A. Meertens & C. G. H. Diks & H. J. van den Herik & F. W. Takes, 2020. "A data‐driven supply‐side approach for estimating cross‐border Internet purchases within the European Union," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 61-90, January.
    10. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," SciencePo Working papers Main hal-04067326, HAL.
    11. Matthew Clancy & Paul Heisey & Yongjie Ji & GianCarlo Moschini, 2020. "The Roots of Agricultural Innovation: Patent Evidence of Knowledge Spillovers," NBER Chapters, in: Economics of Research and Innovation in Agriculture, pages 21-75, National Bureau of Economic Research, Inc.
    12. Michela Giorcelli & Nicola Lacetera & Astrid Marinoni, 2022. "How does scientific progress affect cultural changes? A digital text analysis," Journal of Economic Growth, Springer, vol. 27(3), pages 415-452, September.
    13. Daron Acemoglu & David Autor & Christina Patterson, 2023. "Bottlenecks: Sectoral Imbalances and the US Productivity Slowdown," NBER Chapters, in: NBER Macroeconomics Annual 2023, volume 38, National Bureau of Economic Research, Inc.
    14. Sotaro Shibayama & Deyun Yin & Kuniko Matsumoto, 2021. "Measuring novelty in science with word embedding," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
    15. Biggi, Gianluca & Giuliani, Elisa & Martinelli, Arianna & Benfenati, Emilio, 2022. "Patent Toxicity," Research Policy, Elsevier, vol. 51(1).
      • Gianluca Biggi & Elisa Giuliani & Arianna Martinelli, 2020. "Patent Toxicity," LEM Papers Series 2020/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Joshua R. Bruce & John M. de Figueiredo, 2020. "Innovation in the U.S. Government," NBER Working Papers 27181, National Bureau of Economic Research, Inc.
    17. Scoresby, Richard B. & Park, Haemin, 2021. "The joint effects of individual and firm level knowledge attributes on inventor mobility to entrepreneurial and established firms," Journal of Business Research, Elsevier, vol. 133(C), pages 218-230.
    18. Chen, Wei & Yan, Yan, 2023. "New components and combinations: The perspective of the internal collaboration networks of scientific teams," Journal of Informetrics, Elsevier, vol. 17(2).
    19. Michael J. Andrews, 2021. "Historical patent data: A practitioner's guide," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(2), pages 368-397, May.
    20. Michela Giorcelli & Nicola Lacetera & Astrid Marinoni, 2019. "Does Scientific Progress Affect Culture? A Digital Text Analysis," CESifo Working Paper Series 7499, CESifo.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:9:y:2024:i:4:p:52-:d:1367920. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.