2021/10/12 by Rui Mata, Meier, Dominik S., Dirk U. Wulff +2
Environmental Science · Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Sustainability and Climate Change Governance
paper · pdf · doi:10.48550/arxiv.2110.05856
openalex publication_date 2021/10/12 · openalex created_date 2022/09/06 · openalex updated_date 2026/07/28
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 any kind of text data using different existing or custom-made query systems. 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.