Ontology-based semantic data interestingness using BERT models
The COVID-19 pandemic has generated massive data in the healthcare sector in recent years, encouraging researchers and scientists to uncover the underlying facts. Mining interesting patterns in the large COVID-19 corpora is very important and useful for the decision makers. This paper presents a nov...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Taylor & Francis Group
2023-12-01
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| Schriftenreihe: | Connection Science |
| Schlagworte: | |
| Online-Zugang: | http://dx.doi.org/10.1080/09540091.2023.2190499 |
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