Analyzing Depression in College Students Using NLP and Transformer Models: Implications for Career and Educational Counseling
By enabling real-time detection of depressive signals in social media content, the proposed framework can serve as a practical tool in academic and career counseling. It supports early identification of at-risk students and facilitates timely interventions, contributing to improved student well-being, retention, and long-term success.
Authors
- S. Zakeri
- Qun Wan
- Yue Pan (ORCID: https://orcid.org/0009-0006-1421-9005)
Institutions
- Chengdu Sport University (CN)
- University of Tabriz (IR)
Publication Details
- Journal
- Brain and Behavior
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1002/brb3.70828
- Citations
- 3
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 7.32