Published August 4, 2023
| Version v1
Dataset
Open
Data from: Public opinion in Japanese newspaper readers' posts under the prolonged COVID-19 infection spread 2019-2021: Contents analysis using Latent Dirichlet Allocation
Creators
- 1. Fukushima Medical University
Description
These data are based on free description from readers' posts on Japanese hardcopy newspaper articles in the public domain. Upon searching for "coronavirus," we found 412 reader submissions during the April 7, 2020 to May 25, 2020, 521 during January 8, 2021 to March 21, 2021, 458 during the April 25, 2021 to June 6, 2021, and 519 during July 12, 2021 to September 30, 2021. Topics of content were extracted by Latent Dirichlet Allocation, and then calculating the ratio of topic occurrence in each description.