A survey and study impact of tweet sentiment analysis via transfer learning in low resource scenarios.
Sentiment analysis (SA) is a study area focused on obtaining contextual polarity from the text. Currently, deep learning has obtained outstanding results in this task. However, much annotated data are necessary to train these algorithms, and obtaining this data is expensive and difficult. In the con...
| Publicado en: | Language Resources & Evaluation Vol. 58; no. 1; pp. 133 - 175 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Mar2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |