## A natural language processing model for supporting sustainable development goals: translating semantics, visualizing nexus, and connecting stakeholders > [!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. > [!Cite]- > Matsui, Takanori, Kanoko Suzuki, Kyota Ando, et al. “A Natural Language Processing Model for Supporting Sustainable Development Goals: Translating Semantics, Visualizing Nexus, and Connecting Stakeholders.” _Sustainability Science_ 17, no. 3 (2022): 969–85. [https://doi.org/10.1007/s11625-022-01093-3](https://doi.org/10.1007/s11625-022-01093-3). > > [link](https://doi.org/10.1007/s11625-022-01093-3) [online](http://zotero.org/users/17587716/items/CTR27I7T) [local](zotero://select/library/items/CTR27I7T) [pdf](file://C:\Users\erikt\Zotero\storage\CWQ7VCCN\Matsui%20et%20al.%20-%202022%20-%20A%20natural%20language%20processing%20model%20for%20supporting%20sustainable%20development%20goals%20translating%20semant.pdf) ## Notes %% begin notes %% Authors present finetuning of a BERT model to detect SDGs in (Japanese) text. Updates [[joshi_2021]] using exact matching for detecting relevant SDGs from text. %% end notes %% %% begin annotations %% %% end annotations %% %% Import Date: 2025-10-20T11:46:05.806-06:00 %%