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text2sdg: Detecting UN Sustainable Development Goals in Text

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Oct 2021Publisher:Zenodo
Authors: Wulff, Dirk U.; Meier, Dominik S.;

doi: 10.5281/zenodo.5553980 , 10.5281/zenodo.5553979 , 10.5281/zenodo.7588474

text2sdg: Detecting UN Sustainable Development Goals in Text

Abstract

The United Nations’ Sustainable Development Goals (SDGs) have become an important guideline for organisations to monitor and plan their contributions to social, economic, and environmental transformations. The text2sdg package is an open-source analysis package that identifies SDGs in text using scientifically developed query systems, opening up the opportunity to monitor any type of text-based data, such as scientific output or corporate publications.

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Keywords

Natural language processing, UN Sustainable Development Goals

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
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53
6
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