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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}
}
Tags
Sustainability Sustainable Development Goals (SDGs) Text mining Text analysis
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This work is licensed under a Creative Commons Attribution 4.0 International License.
