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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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