Cargando…
Impact of COVID-19 on mental health in China: analysis based on sentiment knowledge enhanced pre-training and XGBoost algorithm
Coronavirus disease 2019 (COVID-19) is causing a serious impact on the people living in countries across the entire world. The spread of this pandemic globally has led people worry every day about losing their jobs or even being threatened by the virus. This pandemic caused people to experience more...
Autores principales: | Huang, Ru, Wang, Xiuli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361760/ https://www.ncbi.nlm.nih.gov/pubmed/37483949 http://dx.doi.org/10.3389/fpubh.2023.1170838 |
Ejemplares similares
-
The Impact of Pandemics Sentiment on the Global Art Market
por: Wang, Wei
Publicado: (2021) -
XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers
por: Song, Xianbin, et al.
Publicado: (2022) -
Quantifying Time-Frequency Co-movement Impact of COVID-19 on U.S. and China Stock Market Toward Investor Sentiment Index
por: Nian, Rui, et al.
Publicado: (2021) -
Exploring public attitudes toward live-streaming fitness in China: A sentiment and content analysis of China's social media Weibo
por: Tian, Rui, et al.
Publicado: (2022) -
Predicting the risk factors of diabetic ketoacidosis-associated acute kidney injury: A machine learning approach using XGBoost
por: Fan, Tingting, et al.
Publicado: (2023)