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Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications
Sentic computing relies on well-defined affective models of different complexity—polarity to distinguish positive and negative sentiment, for example, or more nuanced models to capture expressions of human emotions. When used to measure communication success, even the most granular affective model c...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846919/ https://www.ncbi.nlm.nih.gov/pubmed/33552304 http://dx.doi.org/10.1007/s12559-021-09839-4 |