IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2022i1p33-d1009473.html
   My bibliography  Save this article

Information Analysis on Foreign Institution for International R&D Collaboration Using Natural Language Processing

Author

Listed:
  • Jihoo Jung

    (Global Strategy Team, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea
    These authors equally contributed to this study.)

  • Jehyun Lee

    (Computational Science & Engineering Laboratory, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea
    These authors equally contributed to this study.)

  • Sangjin Choi

    (Global Strategy Team, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea)

  • Woonho Baek

    (Global Strategy Team, Korea Institute of Energy Research, Daejeon 34129, Republic of Korea)

Abstract

The number of international collaborations in research and development (R&D) has been increasing in the energy sector to solve global environmental problems—such as climate change and the energy crisis—and to reduce the time, cost, and risk of failure. Successful international project planning requires the analysis of research fields and the technology expertise of cooperative partner institutions or countries, but this takes time and resources. In this study, we developed a method to analyze the information on research organizations and topics, taking advantage of data analysis as well as deep learning natural language processing (NLP) models. A method to evaluate the relative superiority of efficient international collaboration was suggested, assuming international collaboration of the National Renewable Energy Laboratory (NREL) and the Korea Institute of Energy Research (KIER). Additionally, a workflow of an automated executive summary and a translation of tens of web-posted articles is also suggested for a quick glance. The valuation of the suggested methodology is estimated as much as the annual salary of an experienced employee.

Suggested Citation

  • Jihoo Jung & Jehyun Lee & Sangjin Choi & Woonho Baek, 2022. "Information Analysis on Foreign Institution for International R&D Collaboration Using Natural Language Processing," Energies, MDPI, vol. 16(1), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:33-:d:1009473
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/1/33/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/1/33/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Muhammad, Hafiz Ali & Cho, Junhyun & Cho, Jongjae & Choi, Bongsu & Roh, Chulwoo & Ishfaq, Hafiz Ahmad & Lee, Gilbong & Shin, Hyungki & Baik, Young-Jin & Lee, Beomjoon, 2022. "Performance improvement of supercritical carbon dioxide power cycle at elevated heat sink temperatures," Energy, Elsevier, vol. 239(PD).
    2. Junseok Lee & Ji-Ho Kang & Sunghae Jun & Hyunwoong Lim & Dongsik Jang & Sangsung Park, 2018. "Ensemble Modeling for Sustainable Technology Transfer," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    3. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    4. Walter Leal Filho & Tony Wall & Jelena Barbir & Gabriela Nagle Alverio & Maria Alzira Pimenta Dinis & Julianna Ramirez, 2022. "Relevance of international partnerships in the implementation of the UN Sustainable Development Goals," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    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. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    2. Akinpelu, O.A. & Olaleye, O. & Fagbola, O., 2023. "The Soil Organic Matter Decomposers: A Bibliometric Analysis," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 9(4), August.
    3. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    4. J. Gómez-Verjan & I. Gonzalez-Sanchez & E. Estrella-Parra & R. Reyes-Chilpa, 2015. "Trends in the chemical and pharmacological research on the tropical trees Calophyllum brasiliense and Calophyllum inophyllum, a global context," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1019-1030, November.
    5. Luis Araya-Castillo & Felipe Hernández-Perlines & Hugo Moraga & Antonio Ariza-Montes, 2021. "Scientometric Analysis of Research on Socioemotional Wealth," Sustainability, MDPI, vol. 13(7), pages 1-26, March.
    6. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    7. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Paolo Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    8. Tuba Bircan & Almila Alkim Akdag Salah, 2022. "A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    9. Kumari, Rajni & Kumar, Manish & Vivekanand, V. & Pareek, Nidhi, 2023. "Chitin biorefinery: A narrative and prophecy of crustacean shell waste sustainable transformation into bioactives and renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    10. Dilvin Cebi & Melih Soner Celiktas & Hasan Sarptas, 2022. "A Review on Sewage Sludge Valorization via Hydrothermal Carbonization and Applications for Circular Economy," Circular Economy and Sustainability,, Springer.
    11. Muthukumar Perumal & Selvam Sekar & Paula C. S. Carvalho, 2024. "Global Investigations of Seawater Intrusion (SWI) in Coastal Groundwaters in the Last Two Decades (2000–2020): A Bibliometric Analysis," Sustainability, MDPI, vol. 16(3), pages 1-28, February.
    12. Massimiliano M. Pellegrini & Riccardo Rialti & Giacomo Marzi & Andrea Caputo, 2020. "Sport entrepreneurship: A synthesis of existing literature and future perspectives," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 795-826, September.
    13. David Vérez & Luisa F. Cabeza, 2021. "Which Building Services Are Considered to Have Impact on Climate Change?," Energies, MDPI, vol. 14(13), pages 1-16, June.
    14. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    15. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    16. Giovanni Matteo & Pierfrancesco Nardi & Stefano Grego & Caterina Guidi, 2018. "Bibliometric analysis of Climate Change Vulnerability Assessment research," Environment Systems and Decisions, Springer, vol. 38(4), pages 508-516, December.
    17. Diogo Ferraz & Fernanda P. S. Falguera & Enzo B. Mariano & Dominik Hartmann, 2021. "Linking Economic Complexity, Diversification, and Industrial Policy with Sustainable Development: A Structured Literature Review," Sustainability, MDPI, vol. 13(3), pages 1-29, January.
    18. Formolli, M. & Kleiven, T. & Lobaccaro, G., 2023. "Assessing solar energy accessibility at high latitudes: A systematic review of urban spatial domains, metrics, and parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    19. Gallego-Losada, María-Jesús & Montero-Navarro, Antonio & García-Abajo, Elisa & Gallego-Losada, Rocío, 2023. "Digital financial inclusion. Visualizing the academic literature," Research in International Business and Finance, Elsevier, vol. 64(C).
    20. Yulei Xie & Ling Ji & Beibei Zhang & Gordon Huang, 2018. "Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017," Sustainability, MDPI, vol. 10(9), pages 1-17, September.

    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:jeners:v:16:y:2022:i:1:p:33-:d:1009473. 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.