| Título |
Merging SenticNet and WordNet-Affect Emotion Lists for Sentiment Analysis |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
IEEE Xplore Digital Library; 2012 11th International Conference on Signal Processing, ICSP 2012 |
| Resumen |
SenticNet is currently one of the most comprehensive freely available semantic resources for opinion mining. However, it only provides numerical polarity scores, while more detailed sentiment-related information for its concepts is often desirable.
Another important resource for opinion mining and sentiment analysis is WordNet-Affect, which in turn lacks quantitative information. We report a work on automatically merging these two resources by assigning emotion labels to more than 2700 concepts. |
| Observaciones |
Category numberCFP12753-PRT; Code 96617; Article number 6491803 |
| Lugar |
Beijing |
| País |
China |
| No. de páginas |
1251-1255 |
| Vol. / Cap. |
2 |
| Inicio |
2012-10-21 |
| Fin |
2012-10-25 |
| ISBN/ISSN |
978-146732194-5 |
