A Deep Learning Model for the Normalization of Institution Names by Multisource Literature Feature Fusion: Algorithm Development Study.
Yifei ChenXiaoying LiAihua LiYongjie LiXuemei YangZiluo LinShirui YuXiaoli TangPublished in: JMIR formative research (2023)
The deep learning-based institution name normalization model trained in this study exhibited high accuracy. Therefore, it could be widely applied in the evaluation of the competitiveness of research institutions, analysis of research fields of institutions, and construction of interinstitutional cooperation networks, among others, showing high application value.