zeinhasan/Suicidal-Detection-Sentiment-Analysis
Suicidal Ideation Detection Using Natural Languange Processing and Machine Learning - Deep Learning Models
This project helps mental health professionals and organizations identify individuals at risk of suicide by analyzing text. It takes raw text inputs, such as social media posts or online communications, and outputs a prediction of whether the text indicates suicidal ideation. This system is designed for mental health counselors, social workers, or crisis intervention specialists looking for tools to support suicide prevention efforts.
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Use this if you need an automated way to screen large volumes of text data for early signs of suicidal ideation.
Not ideal if you need to analyze highly sensitive personal medical records without robust privacy and ethical safeguards.
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10
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8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 12, 2023
Commits (30d)
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