2022
DOI: 10.1109/access.2022.3223094
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A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals

Abstract: The classification of scientific articles aligned to Sustainable Development Goals is crucial for research institutions and universities when assessing their influence in these areas. Machine learning enables the implementation of massive text data classification tasks. The objective of this study is to apply Natural Language Processing techniques to articles from peer-reviewed journals to facilitate their classification according to the 17 Sustainable Development Goals of the 2030 Agenda. This article compare… Show more

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Cited by 10 publications
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