Multimodal Deep Learning for Patent Classification

Juhyun Lee, Junseok Lee, Jiho Kang, Youngho Kim, Dongsik Jang, Sangsung Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


The global technology market is changing rapidly. Organizations need strategies to increase their competitiveness. Technology transfer is an effective tool for them to plan for intellectual property research and development. Prediction of technology transfer leads to efficient results. For this, we propose multimodal learning. The model utilizes the quantitative information and text of the patent. Unlike the previous studies, it uses the architecture of deep learning. The model was tested for practical applicability through patent data. As a result, it showed higher performance than other models.

Original languageEnglish
Title of host publicationProceedings of 6th International Congress on Information and Communication Technology, ICICT 2021
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages9
ISBN (Print)9789811621017
Publication statusPublished - 2022
Event6th International Congress on Information and Communication Technology, ICICT 2021 - Virtual, Online
Duration: 2021 Feb 252021 Feb 26

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference6th International Congress on Information and Communication Technology, ICICT 2021
CityVirtual, Online

Bibliographical note

Funding Information:
Acknowledgements This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Republic of Korea government (MSIT) (No. NRF– 2020R1A2C1005918). This research was supported by the MOTIE (Ministry of Trade, Industry, and Energy) in Korea, under the Fostering Global Talents for Innovative Growth Program (P0008749) supervised by the Korea Institute for Advancement of Technology (KIAT).

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.


  • Multimodal learning
  • Patent classification
  • Technology transfer

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications


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