SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals

Yingjie Li; Veronica F. Frans; Yongze Song; Meng Cai; Yuqian Zhang; Jianguo Liu

doi:10.21105/joss.05124

SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals

R Submitted 23 January 2023 • Published 12 April 2023

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Editor: @fboehm (all papers)
Reviewers: @caleblucas (all reviews), @csaybar (all reviews)

Authors

Yingjie Li (0000-0002-8401-0649), Veronica F. Frans (0000-0002-5634-3956), Yongze Song (0000-0003-3420-9622), Meng Cai (0000-0002-8318-572X), Yuqian Zhang (0000-0001-7576-2526), Jianguo Liu (0000-0001-6344-0087)

Citation

Li et al., (2023). SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals. Journal of Open Source Software, 8(84), 5124, https://doi.org/10.21105/joss.05124

@article{Li2023, doi = {10.21105/joss.05124}, url = {https://doi.org/10.21105/joss.05124}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {84}, pages = {5124}, author = {Yingjie Li and Veronica F. Frans and Yongze Song and Meng Cai and Yuqian Zhang and Jianguo Liu}, title = {SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals}, journal = {Journal of Open Source Software} }

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Sustainability Sustainable Development Goals (SDGs) Text mining Text analysis

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ISSN 2475-9066