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A natural language processing model for supporting sustainable development goals: translating semantics, visualizing nexus, and connecting stakeholders
Sharing successful practices with other stakeholders is important for achieving SDGs. In this study, with a deep-learning natural language processing model, bidirectional encoder representations from transformers (BERT), the authors aimed to build (1) a classifier that enables semantic mapping of pr...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Japan
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815292/ https://www.ncbi.nlm.nih.gov/pubmed/35136451 http://dx.doi.org/10.1007/s11625-022-01093-3 |