Cargando…
IPSO-LSTM hybrid model for predicting online public opinion trends in emergencies
When emergencies are widely discussed and shared, it may lead to conflicting opinions and negative emotions among internet users. Accurately predicting sudden network public opinion events is of great importance. Therefore, this paper constructs a hybrid forecasting model to solve this problem. Firs...
Autores principales: | Mu, Guangyu, Liao, Zehan, Li, Jiaxue, Qin, Nini, Yang, Ziye |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564146/ https://www.ncbi.nlm.nih.gov/pubmed/37815983 http://dx.doi.org/10.1371/journal.pone.0292677 |
Ejemplares similares
-
CEEMDAN-IPSO-LSTM: A Novel Model for Short-Term Passenger Flow Prediction in Urban Rail Transit Systems
por: Zeng, Lu, et al.
Publicado: (2022) -
Psychosocial online counselling in Ukraine on IPSO-care platform in pandemic period
por: Korostiy, V., et al.
Publicado: (2021) -
Quis Custodiet Ipsos Custodes
por: Kelly, Barry
Publicado: (2011) -
Ipso Facto or Permanent Membership
Publicado: (1914) -
Nokia firewall, VPN, and IPSO configuration guide
por: Hay, Andrew, et al.
Publicado: (2009)