BERT and BERTopic for screening clinical depression on open-ended text messages collected through a mobile application from older adults
Abstract Background Despite the high suicide rate in South Korea, older adults are reluctant to see a psychiatrist. Recently, text mining has gained popularity to detect depression in social media posts, but older adults rarely use social media. However, more than 90% of them use smartphones. South...
Saved in:
| Main Authors: | Moo-Kwon Chung, Sang Yup Lee, Taeksoo Shin, Ji Young Park, Sangwon Hwang, Min-Hyuk Kim, Jinhee Lee, Kyoung-Joung Lee, Hyo-Sang Lim, Erdenebayar Urtnasan, YeonSu Jung, Dan-Kyung Kim, Eunji Shin, Jin-kyung Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
|
| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12889-025-23337-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA
by: Wang Yifan, et al.
Published: (2024-11-01) -
Enhancing Genomic Data Representation Through BERT-LSTM Hybrid Architecture
by: Kyeong Ho Kim, et al.
Published: (2025-01-01) -
DrugBERT: a BERT-based approach integrating LDA topic embedding and efficacy-aware mechanism for predicting anti-tumor drug efficacy
by: Weiwei Zhu, et al.
Published: (2025-08-01) -
Development of a Knowledge Base for Construction Risk Assessments Using BERT and Graph Models
by: Wonjong Lee, et al.
Published: (2024-10-01) -
Leveraging BERT, DistilBERT, and TinyBERT for Rumor Detection
by: Aijazahamed Qazi, et al.
Published: (2025-01-01)