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Affective Concept-Based Encoding of Patient Narratives via Sentic Computing and Neural Networks
The automatic generation of features without human intervention is the most critical task for biomedical sentiment analysis. Regarding the high dynamicity of shared patient narrative data, the lack of formal medical language sentiment dictionaries prevents retrieval of the appropriate sentiment, whi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371039/ https://www.ncbi.nlm.nih.gov/pubmed/34422122 http://dx.doi.org/10.1007/s12559-021-09903-z |