A natural language processing model for supporting sustainable development goals: translating semantics, visualizing nexus, and connecting stakeholders.

Content Provider	Europe PMC
Author	Matsui, Takanori Suzuki, Kanoko Ando, Kyota Kitai, Yuya Haga, Chihiro Masuhara, Naoki Kawakubo, Shun
Abstract	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 practices and issues in the SDGs context, (2) a visualizing method of SDGs nexus based on co-occurrence of goals (3) a matchmaking process between local issues and initiatives that may embody solutions. A data frame was built using documents published by official organizations and multi-labels corresponding to SDGs. A pretrained Japanese BERT model was fine-tuned on a multi-label text classification task, while nested cross-validation was conducted to optimize the hyperparameters and estimate cross-validation accuracy. A system was then developed to visualize the co-occurrence of SDGs and to couple the stakeholders by evaluating embedded vectors of local challenges and solutions. The paper concludes with a discussion of four future perspectives to improve the natural language processing system. This intelligent information system is expected to help stakeholders take action to achieve the sustainable development goals.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11625-022-01093-3.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC8815292&blobtype=pdf
ISSN	18624065
Journal	Sustainability Science [Sustain Sci]
Volume Number	17
DOI	10.1007/s11625-022-01093-3
PubMed Central reference number	PMC8815292
Issue Number	3
PubMed reference number	35136451
e-ISSN	18624057
Language	English
Publisher	Springer Japan
Publisher Date	2022-02-04
Publisher Place	Tokyo
Access Restriction	Open
Rights License	Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2022
Subject Keyword	Sustainable development goals Nexus and interlinkages Matchmaking stakeholders Artificial intelligence technology Text classification BERT model
Content Type	Text
Resource Type	Article
Subject	Sociology and Political Science Geography, Planning and Development Ecology Health (social science) Management, Monitoring, Policy and Law Nature and Landscape Conservation Global and Planetary Change