Cargando…
The Public Health Contribution of Sentiment Analysis of Monkeypox Tweets to Detect Polarities Using the CNN-LSTM Model
Monkeypox is a rare disease caused by the monkeypox virus. This disease was considered eradicated in 1980 and was believed to affect rodents and not humans. However, recent years have seen a massive outbreak of monkeypox in humans, setting off worldwide alerts from health agencies. As of September 2...
Autores principales: | Iparraguirre-Villanueva, Orlando, Alvarez-Risco, Aldo, Herrera Salazar, Jose Luis, Beltozar-Clemente, Saul, Zapata-Paulini, Joselyn, Yáñez, Jaime A., Cabanillas-Carbonell, Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966732/ https://www.ncbi.nlm.nih.gov/pubmed/36851190 http://dx.doi.org/10.3390/vaccines11020312 |
Ejemplares similares
-
Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
por: Mahajan, Rhea, et al.
Publicado: (2021) -
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model
por: Jiang, Xuchu, et al.
Publicado: (2022) -
A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
por: Priyadarshini, Ishaani, et al.
Publicado: (2021) -
An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
por: Kour, Harnain, et al.
Publicado: (2022) -
The Painful Tweet: Text, Sentiment, and Community Structure Analyses of Tweets Pertaining to Pain
por: Tighe, Patrick J, et al.
Publicado: (2015)