Mental Health Sentiment Analysis

An NLP classification pipeline for exploring mental-health distress indicators in text.

01 / Context

The problem

Text classification experiments need a reproducible feature, training, and evaluation path before any result can be interpreted.

02 / Implementation

Implemented text preprocessing, feature extraction, supervised classification, and evaluation workflows using classical machine-learning tooling.

03 / Current outcome

A repository-level NLP experiment for learning and benchmarking classification workflows.

Boundary

Research only; not a diagnostic tool, clinical validation, or mental-health service.

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