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Development","sub_category":"Sustainable Development Goals","monthly_downloads":867,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"[![cran version](http://www.r-pkg.org/badges/version/text2sdg)](https://CRAN.R-project.org/package=text2sdg)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5553980.svg)](https://doi.org/10.48550/arXiv.2110.05856)\n[![downloads](https://cranlogs.r-pkg.org/badges/grand-total/text2sdg?color=yellow)](https://CRAN.R-project.org/package=text2sdg)\n\n# text2sdg \u003cimg src=\"man/figures/logo.png\" align=\"right\" alt=\"\" width=\"120\" /\u003e\n\nThe 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.\n\nThe `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.\n\n\n## General Information\n\nThe `text2sdg` package is developed by Dirk U. Wulff and Dominik S. Meier, with contributions from Rui Mata and the \u003ca href=\"https://cds.unibas.ch/\"\u003eCenter for Cognitive and Decision Sciences\u003c/a\u003e. It is published under the GNU General Public License.\n\nAn overview of the package can be accessed\n[online](https://www.text2sdg.io/reference/text2sdg.html) or from within R using `?text2sdg`.\n\n# Installation\n\nThe current stable version is available on CRAN and can be installed via `install.packages(\"text2sdg\")`.\n\nThe latest development version on GitHub can be installed via `devtools::install_github(\"dwulff/text2sdg\")`. Note that this requires prior installation of the `devtools` package.  \n\n# Usage\n\nTo 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, \u0026 Mata, 2024).  \n\n```r\n# vector of texts\ntexts = c(\"This is text 1\", \"This is text 2\")\n\n# individual systems approach\nhits = detect_sdg_systems(texts)\n\n# ensemble approach\nhits = detect_sdg(texts)\n```\n\nFor a complete tutorial on the use of the package, visit\n[this page]( https://www.text2sdg.io/articles/text2sdg.html) or call `vignette(\"text2sdg\")` from within R.\n\n## Citation\n\nIf you use the `text2sdg` package for published work, we kindly ask that you cite the package as follows:\n\nMeier, D. S., Mata, R., \u0026 Wulff, D. U. (2021). text2sdg: An open-source solution to monitoring sustainable development goals from text. arXiv. https://arxiv.org/abs/2110.05856\n\nDepending on the use of the package, also consider referencing the following article:\n\nWulff, D. U., Meier, D. S., \u0026 Mata, R. (2024). 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