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Deep learning for predicting patent application outcome: The fusion of text and network embeddings

  • Published:2023-05 Issue:2 Volume:17 Page:101402
  • ISSN:1751-1577
  • Container-title:Journal of Informetrics
  • language:en
  • Short-container-title:Journal of Informetrics

Author:

Jiang Hongxun,Fan Shaokun,Zhang Nan,Zhu Bin

Funder

Beijing Municipal Social Science Foundation

National Natural Science Foundation of China

Beijing Social Science Fund

Publisher

Elsevier BV

Subject

Library and Information Sciences,Computer Science Applications

Reference57 articles.

1. Indirect patent citations;Atallah;Scientometrics,2006

2. Predicting paper acceptance via interpretable decision sets;Bao,2021

3. A text-based analysis of corporate innovation;Bellstam;Management Science,2021

4. SciBERT: A pretrained language model for scientific text;Beltagy,2019

5. PEERAssist: Leveraging on paper-review interactions to predict peer review decisions;Bharti,2021

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