This paper is in the following e-collection/theme issue:

e-Mental Health and Cyberpsychology (1411) Machine Learning (1400) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Methods and New Tools in Mental Health Research (428) Infodemiology and Infoveillance (1278) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41823, first published .
Sensing Psychological Well-being Using Social Media Language: Prediction Model Development Study

Sensing Psychological Well-being Using Social Media Language: Prediction Model Development Study

Sensing Psychological Well-being Using Social Media Language: Prediction Model Development Study

Authors of this article:

Nuo Han1, 2, 3 Author Orcid Image ;   Sijia Li4 Author Orcid Image ;   Feng Huang1, 2 Author Orcid Image ;   Yeye Wen5 Author Orcid Image ;   Xiaoyang Wang1 Author Orcid Image ;   Xiaoqian Liu1 Author Orcid Image ;   Linyan Li3, 6 Author Orcid Image ;   Tingshao Zhu1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (10) Metrics

Nuo Han   1, 2, 3 , PhD ;   Sijia Li   4 , PhD ;   Feng Huang   1, 2 , PhD ;   Yeye Wen   5 , PhD ;   Xiaoyang Wang   1 , BSc ;   Xiaoqian Liu   1 , PhD ;   Linyan Li   3, 6 , PhD ;   Tingshao Zhu   1, 2 , PhD

1 Chinese Academy Sciences Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

2 Department of Psychology, University of Chinese Academy of Sciences, Beijing, China

3 School of Data Science, City University of Hong Kong, Hong Kong SAR, China (Hong Kong)

4 Department of Social Work and Social Administration, The Unversity of Hong Kong, Hong Kong SAR, China (Hong Kong)

5 School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

6 Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China (Hong Kong)

Corresponding Author:

  • Xiaoqian Liu, PhD
  • Chinese Academy Sciences Key Laboratory of Behavioral Science
  • Institute of Psychology
  • Chinese Academy of Sciences
  • No 16 Lincui Road, Chaoyang District
  • Beijing, 100101
  • China
  • Phone: 86 13810990002
  • Email: liuxiaoqian@psych.ac.cn