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A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals

Morales-Hernandez, Roberto Carlos ; Juaguey, Joaquin Gutierrez ; Becerra-Alonso, David

IEEE access, 2022, Vol.10, p.123534-123548 [Periódico revisado por pares]

Piscataway: IEEE

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Título:
A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals
Autor: Morales-Hernandez, Roberto Carlos ; Juaguey, Joaquin Gutierrez ; Becerra-Alonso, David
Assuntos: Algorithms ; Classification ; Classification algorithm ; Classification algorithms ; Classification tree analysis ; Colleges & universities ; Datasets ; Machine learning ; Measurement ; multi-label text classification ; Natural language processing ; Notch filters ; problem transformation method ; Research facilities ; scientific articles ; Scientific papers ; Support vector machines ; Sustainable development ; sustainable development goals ; Text categorization ; text classification
É parte de: IEEE access, 2022, Vol.10, p.123534-123548
Descrição: 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 compares the performance of multi-label text classification models based on a proposed framework with datasets of different characteristics. The results show that the combination of Label Powerset (a transformation method) with Support Vector Machine (a classification algorithm) can achieve an accuracy of up to 87% for an imbalanced dataset, 83% for a dataset with the same number of instances per label, and even 91% for a multiclass dataset.
Editor: Piscataway: IEEE
Idioma: Inglês

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A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals

Morales-Hernandez, Roberto Carlos ; Juaguey, Joaquin Gutierrez ; Becerra-Alonso, David

Piscataway: IEEE

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