Technological topic analysis of standard-essential patents based on the improved Latent Dirichlet Allocation (LDA) model-Reference-Cited by-同舟云学术

Technological topic analysis of standard-essential patents based on the improved Latent Dirichlet Allocation (LDA) model

Published:2022-10-01 Issue: Volume: Page:1-16
ISSN:0953-7325
Container-title:Technology Analysis & Strategic Management
language:en
Short-container-title:Technology Analysis & Strategic Management

Author:

Tian Chen¹,Zhang Junyan¹,Liu Dayong¹,Wang Qing²,Lin Shen³

Affiliation:

1. College of Management and Economics, Tianjin University, Tianjin, People’s Republic of China

2. School of Electrical and Information Engineering, Tianjin University, Tianjin, People’s Republic of China

3. Patent Examination Cooperation (Beijing) Center of the Patent Office, People’s Republic of China National Intellectual Property Administration, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

Graduate Research and Innovation Projects of Tianjin

Humanities and Social Science Project of Ministry of Education in China

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537325.2022.2130039

Reference33 articles.

1. Next Generation 5G Wireless Networks: A Comprehensive Survey

2. Probabilistic topic models for sequence data

3. A comparative study of the evolving jurisprudence on standard essential patent licensing

4. 10.1162/jmlr.2003.3.4-5.993

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