SteveKGYang/MentalLLaMA

This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.

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This project helps researchers and academics analyze social media text to identify potential indicators of mental health issues. You input text from platforms like Reddit or Twitter, and the system provides an analysis of mental health cues along with explanations for its conclusions. It is designed for researchers studying mental health trends in online communities.

306 stars. No commits in the last 6 months.

Use this if you are a researcher examining social media data for patterns related to mental health and need an interpretable analysis tool.

Not ideal if you are seeking a clinical diagnostic tool or advice for individuals, as it is strictly for non-clinical research.

mental-health-research social-media-analysis text-analysis public-health-informatics digital-epidemiology
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

306

Forks

36

Language

Python

License

MIT

Last pushed

Mar 04, 2024

Commits (30d)

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