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...

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Detalles Bibliográficos
Autores principales: Weichselbraun, Albert, Steixner, Jakob, Braşoveanu, Adrian M.P., Scharl, Arno, Göbel, Max, Nixon, Lyndon J. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
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

Internet

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

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