text2sdg: An R Package to Monitor Sustainable Development Goals from Text
Monitoring progress on the United Nations Sustainable Development Goals (SDGs) is important for both academic and non-academic organizations. Existing approaches to monitoring SDGs have focused on specific data types; namely, publications listed in proprietary research databases. We present the text2sdg package for the R language, a user-friendly, open-source package that detects SDGs in text data using different individual query systems, an ensemble of query systems, or custom-made ones. The text2sdg package thereby facilitates the monitoring of SDGs for a wide array of text sources and provides a much-needed basis for validating and improving extant methods to detect SDGs from text.
Authors
- Dirk U. Wulff (ORCID: https://orcid.org/0000-0002-4008-8022)
- Dominik S. Meier (ORCID: https://orcid.org/0000-0002-3999-1388)
- Rui Mata (ORCID: https://orcid.org/0000-0002-1679-906X)
Institutions
- University of Basel (CH)
Publication Details
- Journal
- The R Journal
- Published
- 2025-01-10
- DOI
- https://doi.org/10.32614/rj-2024-005
- Citations
- 1
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 5.34