Published on in Vol 25 (2023)

This is a member publication of University of Bristol (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42734, first published .
Methodologies for Monitoring Mental Health on Twitter: Systematic Review

Methodologies for Monitoring Mental Health on Twitter: Systematic Review

Methodologies for Monitoring Mental Health on Twitter: Systematic Review

Journals

  1. Thakur N. Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. Big Data and Cognitive Computing 2023;7(2):116 View
  2. McGarry K. Analyzing Social Media Data Using Sentiment Mining and Bigram Analysis for the Recommendation of YouTube Videos. Information 2023;14(7):408 View
  3. Colella S, Dufourt F, Hildebrand V, Vivès R. Mental health effects of COVID-19 lockdowns: A Twitter-based analysis. Economics & Human Biology 2023;51:101307 View
  4. Wang Y, Deng H, Gao S, Li T, Wang F. A Fresh Perspective on Examining Population Emotional Well-Being Trends by Internet Search Engine: An Emerging Composite Anxiety and Depression Index. International Journal of Environmental Research and Public Health 2024;21(2):202 View
  5. Florath J, Chanussot J, Keller S. Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis. ISPRS International Journal of Geo-Information 2024;13(4):107 View
  6. Zhu Z. Maternal mental health monitoring in an online community: a natural language processing approach. Behaviour & Information Technology 2024:1 View