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.

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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
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article

text2sdg: An R Package to Monitor Sustainable Development Goals from Text

Dirk U. Wulff, Dominik S. Meier, Rui Mata
1 citations
The R Journal
Computational and Text Analysis Methods
5.34
article

text2sdg: An R Package to Monitor Sustainable Development Goals from Text

Dirk U. Wulff, Dominik S. Meier, Rui Mata
article en
1 citations

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.

The R JournalVol. 16(1)
University of Basel (CH)
Partnerships for the goals
Openalex Percentile: Top 7%
Computational and Text Analysis Methods
5.34
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