Science Score: 46.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, zenodo.org -
✓Committers with academic emails
1 of 6 committers (16.7%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (18.3%) to scientific vocabulary
Keywords
Repository
Detect UN Sustainable Development Goals in Text
Basic Info
- Host: GitHub
- Owner: dwulff
- Language: R
- Default Branch: main
- Homepage: https://text2sdg.io
- Size: 20.9 MB
Statistics
- Stars: 21
- Watchers: 2
- Forks: 4
- Open Issues: 3
- Releases: 0
Topics
Metadata Files
README.md
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).
```r
vector of texts
texts = c("This is text 1", "This is text 2")
individual systems approach
hits = detectsdgsystems(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
Owner
- Name: Dirk Wulff
- Login: dwulff
- Kind: user
- Location: Basel, Switzerland
- Company: Center for Cognitive Decision Science, University of Basel
- Website: dirkwulff.org
- Repositories: 6
- Profile: https://github.com/dwulff
Cognitive, decision, and data science at University of Basel and MPI for Human Development, Berlin.
GitHub Events
Total
- Issues event: 2
- Watch event: 3
Last Year
- Issues event: 2
- Watch event: 3
Committers
Last synced: 6 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Dominik Meier | d****r@o****m | 117 |
| Dirk Wulff | d****f@u****m | 108 |
| Dominik Meier | d****r@u****h | 28 |
| Dirk Wulff | d****f@g****m | 13 |
| Dirk Wulff | d****f@M****l | 3 |
| Dominik Meier | 4****s@u****m | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 6
- Total pull requests: 2
- Average time to close issues: 24 minutes
- Average time to close pull requests: 3 days
- Total issue authors: 5
- Total pull request authors: 1
- Average comments per issue: 0.33
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 3
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- krlmlr (2)
- psychobas (1)
- DataStrategist (1)
- robertrentzsch (1)
- grlju (1)
Pull Request Authors
- grlju (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- cran 1,105 last-month
- Total docker downloads: 48
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 9
- Total maintainers: 1
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
- License: GPL-3
-
Latest release: 1.1.1
published almost 3 years ago
Rankings
Maintainers (1)
Dependencies
- 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