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Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions
Twitter has been a remarkable resource for research in pharmacovigilance in the last decade. Traditionally, rule- or lexicon-based methods have been utilized for automatically extracting drug tweets for human annotation. The process of human annotation to create labeled sets for machine learning mod...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer London
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554513/ https://www.ncbi.nlm.nih.gov/pubmed/34728902 http://dx.doi.org/10.1007/s00521-021-06614-2 |