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.

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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
Controls
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article

Analyzing Depression in College Students Using NLP and Transformer Models: Implications for Career and Educational Counseling

S. Zakeri, Qun Wan, Yue Pan
3 citations
Brain and Behavior
Mental Health via Writing
7.32
article

Analyzing Depression in College Students Using NLP and Transformer Models: Implications for Career and Educational Counseling

S. Zakeri, Qun Wan, Yue Pan
article en
3 citations

Abstract

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.

Brain and BehaviorVol. 15(9)
Chengdu Sport University (CN), University of Tabriz (IR)
Openalex Percentile: Top 3%
Mental Health via Writing
7.32
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