An extraction and novelty evaluation framework for technology knowledge elements of patents
Author:
Funder
Humanities and Social Science Fund of Ministry of Education of China
Young Scholar Project of Pazhou Lab
Guangzhou Basic and Applied Basic Research
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11192-024-04990-9.pdf
Reference47 articles.
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3. Altuntas, S., Erdogan, Z., & Dereli, T. (2020). A clustering-based approach for the evaluation of candidate emerging technologies. Scientometrics, 124(2), 1157–1177. https://doi.org/10.1007/s11192-020-03535-0
4. Arts, S., Cassiman, B., & Gomez, J. C. (2018). Text matching to measure patent similarity. Strategic Management Journal, 39(1), 62–84. https://doi.org/10.1002/smj.2699
5. Cho, J. H., Lee, J., & Sohn, S. Y. (2021). Predicting future technological convergence patterns based on machine learning using link prediction. Scientometrics, 126, 5413–5429. https://doi.org/10.1016/j.wpi.2013.12.006
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