Public opinion in Japanese newspaper readers’ posts under the prolonged COVID-19 infection spread 2019–2021: contents analysis using Latent Dirichlet Allocation
Abstract During the COVID-19 pandemic, information on what people are interested in and what they are disseminating can be an important public health resource. Most studies on public opinion during the pandemic have focused on social networking services in the context of the early phases of the pand...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2023-08-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-023-02014-0 |