September 11, 2025

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

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This analysis shows improved detection of depression in college students through NLP models, highlighting implications for educational counseling.

Achieving 90.18% accuracy, the proposed method effectively classifies between depressive and non-depressive posts.
Evaluation involved real-world datasets from Twitter and Reddit, demonstrating high performance across sentence types.
The framework integrates a RoBERTa-based transformer with GRU layers and multimodal embeddings for nuanced insight.
Early detection of depressive signals can support effective interventions and enhance student well-being.

Wan et al. (2025) studied this question.

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This analysis shows improved detection of depression in college students through NLP models, highlighting implications for educational counseling.