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...

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Detalles Bibliográficos
Autores principales: Matsui, Takanori, Suzuki, Kanoko, Ando, Kyota, Kitai, Yuya, Haga, Chihiro, Masuhara, Naoki, Kawakubo, Shun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2022
Materias:
Original Article
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

Internet

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

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