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Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning–Based Text Generation
OBJECTIVE: Recent efforts to update the definitions and taxonomic structure of concepts related to pain have revealed opportunities to better quantify topics of existing pain research subject areas. METHODS: Here, we apply basic natural language processing (NLP) analyses on a corpus of >200,000 a...
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| Publicado no: | Pain Med |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7685694/ https://ncbi.nlm.nih.gov/pubmed/32249306 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/pm/pnaa061 |
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