A RoBERTa Approach for Automated Processing of Sustainability Reports

There is a strong need and demand from the United Nations, public institutions, and the private sector for classifying government publications, policy briefs, academic literature, and corporate social responsibility reports according to their relevance to the Sustainable Development Goals (SDGs). It...

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Veröffentlicht in:	Sustainability 2022-12, Vol.14 (23), p.16139
Hauptverfasser:	Angin, Merih, Taşdemir, Beyza, Yılmaz, Cenk Arda, Demiralp, Gökcan, Atay, Mert, Angin, Pelin, Dikmener, Gökhan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Automation Classification Computational linguistics Datasets Deep learning International organizations Language processing Machine learning Methods Multilingualism Natural language interfaces Natural language processing Private sector Public software Reporting requirements Scientific papers Social responsibility Sustainability Sustainability reporting Sustainable development Text categorization Text processing
Online-Zugang:	Volltext
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