Suicidal-Detection-Sentiment-Analysis and Suicidal-Text-Analysis
About Suicidal-Detection-Sentiment-Analysis
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.
About Suicidal-Text-Analysis
faiqali1/Suicidal-Text-Analysis
Using Machine Learning to predict if text is suicidal.
This tool helps mental health professionals identify individuals at risk of self-harm by analyzing their social media posts. It takes text data from platforms like Twitter or Facebook and determines if the sentiment expressed suggests suicidal intent. This allows physicians or counselors to proactively reach out and intervene with patients who may be experiencing suicidal ideation.
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