SDGdetector: Detecting Sustainable Development Goals (SDGs) in Text
A tool for identifying 17 Sustainable Development Goals (SDGs) and associated
169 targets in text, as described in Yingjie Li (2022)
<https://github.com/Yingjie4Science/SDGdetector/blob/main/paper/paper.pdf> .
It uses natural language processing to transform
unstructured text into normalized and structured data suitable for
analysis and visualization. It thus enables a unique way to monitor
individuals' and organizations' commitments and efforts towards
advancing SDGs and targets.
| Version: |
2.7 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr, magrittr, stringr, ggplot2, tidyr, grDevices, rnaturalearth, utils |
| Published: |
2023-01-10 |
| Author: |
Yingjie Li [aut, cre],
Yongze Song  [aut],
Meng Cai [aut],
Veronica Frans [aut] |
| Maintainer: |
Yingjie Li <yingjieli.edu at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Citation: |
SDGdetector citation info |
| CRAN checks: |
SDGdetector results |
Documentation:
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