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Public opinion in Japanese newspaper readers’ posts under the prolonged COVID-19 infection spread 2019–2021: contents analysis using Latent Dirichlet Allocation

Medicine and Health

Public opinion in Japanese newspaper readers’ posts under the prolonged COVID-19 infection spread 2019–2021: contents analysis using Latent Dirichlet Allocation

H. Kasuga, S. Endo, et al.

This study conducted by Hideaki Kasuga, Shota Endo, Yusuke Masuishi, Tomoo Hidaka, Takeyasu Kakamu, and Tetsuhito Fukushima explores the evolution of public opinion during the COVID-19 pandemic by analyzing readers' posts from Japanese newspapers. It reveals critical insights into how awareness of the emergency has changed over time, emphasizing the importance of these posts in understanding societal perspectives on health challenges.

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