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

Reviews on Usage or other Formative Evaluation Metrics (59) Depression and Mood Disorders; Suicide Prevention (1770) Methods and New Tools in Mental Health Research (596) Mass Media/Social Media Communication and Campaigns (606) Mental Health Issues in Adolescence (682) Infoveillance and Social Listening (325) Generative Language Models Including ChatGPT (838)

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 (3) Tweetations Metrics

Journals

  1. Crocamo C. Rethinking artificial intelligence in psychiatry and mental healthcare: distinct needs, converging goals. BJPsych Advances 2026:1 View

Conference Proceedings

  1. Naruka P, Syed S, Shukla M, Ladva V, Dholakia N. 2026 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). Emotion-Enriched Hybrid BERT for Depression and Anxiety Detection on Reddit: GoEmotions-Augmented Multi-Class Modeling View
  2. Phaltankar V, Sawant N, Shelke V, Shigvan V, Wayal R. 2026 International Conference on Communication, Computing and Emerging Technologies (IC3ET). MindCare: Mental Health Analysis and Prevention Recommendation System – A Review View