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Mental Health Analysis via Textual Analytics
Project type
Research Project
Date
2025
Location
Washington DC
Designed and trained BERT-based deep learning neural network with Self-Attention for mental health classification from text
Addressed algorithmic bias, explainability, and fairness using PyTorch on Google Cloud GPU infrastructure
Applied transformer architectures to clinical and social text corpora; benchmarked against baseline NLP models
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