| Autores |
|---|
| Gelbukh Alexander |
| Título | Enhanced SenticNet with Affective Labels for Concept-based Opinion Mining |
| Tipo | Revista |
| Sub-tipo | JCR |
| Descripción | IEEE Intelligent Systems |
| Resumen | SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. The presented methodology enriches SenticNet concepts with affective information by assigning an emotion label. |
| Observaciones | Article number 6415892 |
| Lugar | |
| País | Estados Unidos |
| No. de páginas | 31-38 |
| Vol. / Cap. | Vol. 28, Issue 2 |
| Inicio | 2013-01-01 |
| Fin | |
| ISBN/ISSN |