Estimating Time-Series Changes in Social Sensitivity for COVID-19 @ Twitter in Japan

The global outbreak of COVID-19 is now putting enormous pressure on society to change our traditional social behavior. Government officials are also forced to make short-term decisions based on limited information for public health, and investor sentiment about the infection situation in each countr...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Transactions of the Japanese Society for Artificial Intelligence 2022/05/01, Vol.37(3), pp.C-L91_1-16
Hauptverfasser:	Saito, Ryuichi, Haruyama, Shinichiro
Format:	Artikel
Sprache:	eng
Schlagworte:	attention coronavirus Coronaviruses COVID-19 japanese location information neural network Neural networks Outbreaks Public health SARS-Cov-2 Sensitivity social sentiment Trends twitter Viral diseases Waveforms
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!