Public perception on active aging after COVID-19: an unsupervised machine learning analysis of 44,343 posts

Public perception on active aging after COVID-19: an unsupervised machine learning analysis of 44,343 posts

IntroductionTo analyze public perceptions of active aging in China on mainstream social media platforms to determine whether the “14th Five Year Plan for the Development of the Aging Career and Older Adult Care System” issued by the CPC in 2022 has fully addressed public needs.MethodsThe original tw...

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Bibliographic Details
Main Authors: Peipei Chen, Yuwei Jin, Xinfang Ma, Yan Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Public Health
Subjects:
active aging
public perception
topic modeling
BERTopic
policy making
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1329704/full

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