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

Reviews on Usage or other Formative Evaluation Metrics (54) Generative Language Models Including ChatGPT (601) Infoveillance and Social Listening (277) Methods and New Tools in Mental Health Research (527) Mass Media/Social Media Communication and Campaigns (537) Mental Health Issues in Adolescence (581) Depression and Mood Disorders; Suicide Prevention (1591)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63272, first published .
Improving Suicidal Ideation Detection in Social Media Posts: Topic Modeling and Synthetic Data Augmentation Approach

Improving Suicidal Ideation Detection in Social Media Posts: Topic Modeling and Synthetic Data Augmentation Approach

Improving Suicidal Ideation Detection in Social Media Posts: Topic Modeling and Synthetic Data Augmentation Approach

Authors of this article:

Hamideh Ghanadian1 Author Orcid Image ;   Isar Nejadgholi2 Author Orcid Image ;   Hussein Al Osman1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Hamideh Ghanadian   1 , BSc, MSc, PhD ;   Isar Nejadgholi   2 , BSc, MSc, PhD ;   Hussein Al Osman   1 , BSc, MSc, PhD

1 School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

2 National Research Council Canada, Ottawa, ON, Canada

Corresponding Author:

  • Hamideh Ghanadian, BSc, MSc, PhD
  • School of Electrical Engineering and Computer Science
  • University of Ottawa
  • 75 Laurier Ave E
  • Ottawa, ON K1N 6N5
  • Canada
  • Phone: 1 6134000702
  • Email: hghanadian36@gmail.com