Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47225, first published .
Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022

Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022

Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022

Journals

  1. Carabot F, Fraile-Martínez O, Donat-Vargas C, Santoma J, Garcia-Montero C, Pinto da Costa M, Molina-Ruiz R, Ortega M, Alvarez-Mon M, Alvarez-Mon M. Understanding Public Perceptions and Discussions on Opioids Through Twitter: Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2023;25:e50013 View
  2. Bello H, Palomar-Ciria N, Lozano C, Gutiérrez-Alonso C, Baca-García E. Examining the relationship between COVID-19 and suicide in media coverage through Natural Language Processing analysis. The European Journal of Psychiatry 2024;38(1):100227 View
  3. Li I, Estafanous A, De Choudhury M, Alvarez-Jimenez M, Birnbaum M. Social Media and Early Psychosis Intervention: A Comprehensive Review of the Literature. Current Treatment Options in Psychiatry 2024;11(2):52 View
  4. Wang S, Hu T, Xiao H, Li Y, Zhang C, Ning H, Zhu R, Li Z, Ye X. GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review. International Journal of Digital Earth 2024;17(1) View

Books/Policy Documents

  1. Huang X. The Encyclopedia of Human Geography. View