ManuelEspejo/NLP-Sentiment-Analysis-Mental-Health

Performing sentiment analysis for binary classification with neural networks.

29
/ 100
Experimental

This tool helps mental health researchers or social scientists automatically sort short text messages into two categories: those related to mental health and those that are not. You input a collection of text messages, and it outputs a classification for each message along with an evaluation of how well the categorization performed. This is designed for practitioners who need to categorize large volumes of text data efficiently.

No commits in the last 6 months.

Use this if you need to quickly determine whether short text messages are relevant to mental health topics for research or analysis.

Not ideal if you require nuanced multi-label sentiment analysis or want to identify specific mental health conditions from text.

mental-health-research social-science-data-analysis text-categorization research-data-screening qualitative-data-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 9 / 25

How are scores calculated?

Stars

7

Forks

1

Language

Jupyter Notebook

License

MIT

Last pushed

Jul 11, 2023

Commits (30d)

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