Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets
Abstract Social networks are popular for advertising, idea sharing, and opinion formation. Due to COVID-19, coronavirus information disseminated on social media affects people’s lives directly. Individuals sometimes managed it well, but it often hampered daily activities. As a result, analyzing peop...
Збережено в:
| Автори: | , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SpringerOpen
2024-04-01
|
| Серія: | Journal of Cloud Computing: Advances, Systems and Applications |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s13677-024-00644-6 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|