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

Depression and Mood Disorders; Suicide Prevention (1273) Data Science (223) Methods and New Tools in Mental Health Research (424) Diagnostic Tools in Mental Health (220) Machine Learning (1373) New Methods (902) Artificial Intelligence (1189)

Published on in Vol 8, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19824, first published .
Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study

Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study

Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study

Authors of this article:

Akkapon Wongkoblap1, 2, 3 Author Orcid Image ;   Miguel A Vadillo4, 5 Author Orcid Image ;   Vasa Curcin1, 4 Author Orcid Image
Article Authors Cited by (16) Tweetations (7) Metrics

Akkapon Wongkoblap   1, 2, 3 * , MSc ;   Miguel A Vadillo   4, 5 * , PhD ;   Vasa Curcin   1, 4 * , PhD

1 Department of Informatics, King's College London, London, United Kingdom

2 DIGITECH, Suranaree University of Technology, Nakhon Ratchasima, Thailand

3 School of Information Technology, Suranaree University of Technology, Nakhon Ratchasima, Thailand

4 School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom

5 Departamento de Psicología Básica, Universidad Autónoma de Madrid, Madrid, Spain

*all authors contributed equally

Corresponding Author:

  • Akkapon Wongkoblap, MSc
  • DIGITECH
  • Suranaree University of Technology
  • 111 University Avenue, Muang
  • Nakhon Ratchasima, 30000
  • Thailand
  • Phone: 66 44224336
  • Email: wongkoblap@sut.ac.th