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text2sdg

Multi-system analysis package that identifies SDGs in text, opening up the opportunity to monitor any type of text-based data.
https://github.com/dwulff/text2sdg

Category: Sustainable Development
Sub Category: Sustainable Development Goals

Keywords

natural-language-processing sustainability sustainable-development sustainable-development-goals

Last synced: about 18 hours ago
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Repository metadata

Detect UN Sustainable Development Goals in Text

README.md

cran version
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text2sdg

The United Nations’ Sustainable Development Goals (SDGs) have become an important guideline for higher-education and research institutions to monitor and plan their contributions to social, economic, and environmental transformations.

The text2sdg package is the first open-source, multi-system analysis package that identifies SDGs in text, opening up the opportunity to monitor any type of text-based data, including scientific output and corporate publications.

General Information

The text2sdg package is developed by Dirk U. Wulff and Dominik S. Meier, with contributions from Rui Mata and the Center for Cognitive and Decision Sciences. It is published under the GNU General Public License.

An overview of the package can be accessed
online or from within R using ?text2sdg.

Installation

The current stable version is available on CRAN and can be installed via install.packages("text2sdg").

The latest development version on GitHub can be installed via devtools::install_github("dwulff/text2sdg"). Note that this requires prior installation of the devtools package.

Usage

To identify SDGs in a series of documents, the user can choose between two approaches, an individual systems approach implementing six individual query systems and an ensemble approach powered by machine learning that integrates these systems. It is recommended to use the more accurate and bias-free ensemble approach (see Wulff, Meier, & Mata, 2024).

# vector of texts
texts = c("This is text 1", "This is text 2")

# individual systems approach
hits = detect_sdg_systems(texts)

# ensemble approach
hits = detect_sdg(texts)

For a complete tutorial on the use of the package, visit
this page or call vignette("text2sdg") from within R.

Citation

If you use the text2sdg package for published work, we kindly ask that you cite the package as follows:

Meier, D. S., Mata, R., & Wulff, D. U. (2021). text2sdg: An open-source solution to monitoring sustainable development goals from text. arXiv. https://arxiv.org/abs/2110.05856

Depending on the use of the package, also consider referencing the following article:

Wulff, D. U., Meier, D. S., & Mata, R. (2024). Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals. Sustainability Science. https://doi.org/10.1007/s11625-024-01516-3

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GitHub Events

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Committers metadata

Last synced: 6 days ago

Total Commits: 271
Total Committers: 4
Avg Commits per committer: 67.75
Development Distribution Score (DDS): 0.554

Commits in past year: 20
Committers in past year: 2
Avg Commits per committer in past year: 10.0
Development Distribution Score (DDS) in past year: 0.4

Name Email Commits
Dirk Wulff d****f 121
Dominik Meier d****r@o****m 119
Dominik Meier d****r@u****h 28
Dirk Wulff d****f@M****l 3

Committer domains:

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 5
Total pull requests: 1
Average time to close issues: 3 days
Average time to close pull requests: 3 days
Total issue authors: 4
Total pull request authors: 1
Average comments per issue: 0.8
Average comments per pull request: 0.0
Merged pull request: 1
Bot issues: 0
Bot pull requests: 0

Past year issues: 3
Past year pull requests: 0
Past year average time to close issues: 3 days
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 0
Past year average comments per issue: 0.67
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/dwulff/text2sdg

Top Issue Authors

  • krlmlr (2)
  • DataStrategist (1)
  • robertrentzsch (1)
  • grlju (1)

Top Pull Request Authors

  • grlju (1)

Top Issue Labels

  • enhancement (1)
  • bug (1)

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Package metadata

cran.r-project.org: text2sdg

Detecting UN Sustainable Development Goals in Text

  • Homepage: https://github.com/dwulff/text2sdg
  • Documentation: http://cran.r-project.org/web/packages/text2sdg/text2sdg.pdf
  • Licenses: GPL-3
  • Latest release: 1.1.1 (published about 2 years ago)
  • Last Synced: 2025-04-25T12:30:56.210Z (2 days ago)
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1,409 Last month
  • Docker Downloads: 48
  • Rankings:
    • Forks count: 17.77%
    • Stargazers count: 18.704%
    • Downloads: 24.859%
    • Average: 25.317%
    • Dependent packages count: 29.797%
    • Dependent repos count: 35.455%
  • Maintainers (1)

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • corpustools >= 0.4.2 imports
  • dplyr * imports
  • ggplot2 * imports
  • lifecycle * imports
  • magrittr * imports
  • stringr * imports
  • tibble * imports
  • tidyr * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests

Score: 11.762843363000991