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) <> . 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 ORCID iD [aut], Meng Cai [aut], Veronica Frans [aut]
Maintainer: Yingjie Li < at>
License: GPL-3
NeedsCompilation: no
Citation: SDGdetector citation info
CRAN checks: SDGdetector results


Reference manual: SDGdetector.pdf


Package source: SDGdetector_2.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SDGdetector_2.7.tgz, r-oldrel (arm64): SDGdetector_2.7.tgz, r-release (x86_64): SDGdetector_2.7.tgz, r-oldrel (x86_64): SDGdetector_2.7.tgz


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