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...

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Detalles Bibliográficos
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:
Research Article
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

Internet

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

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