Year: 2025
Type: article
Abstract: 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.
Source: The R Journal
DOI: 10.32614/rj-2024-005
Authors: Dominik S. Meier, Rui Mata, Dirk U. Wulff
Institution: University of Basel
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4406928113