Skip to content

This project focuses on utilizing natural language processing (NLP) techniques to address the critical issue of suicide prevention. By leveraging advanced NLP models like BERT and ELECTRA, we aim to analyze linguistic patterns indicative of suicidal ideation.

Notifications You must be signed in to change notification settings

UdbhavSrivastava/NLP-based-Suicide-risk-assessment

Repository files navigation

NLP-based-Suicide-risk-assessment

This project focuses on utilizing natural language processing (NLP) techniques to address the critical issue of suicide prevention. By leveraging advanced NLP models like BERT and ELECTRA, we aim to analyze linguistic patterns indicative of suicidal ideation.

About

This project focuses on utilizing natural language processing (NLP) techniques to address the critical issue of suicide prevention. By leveraging advanced NLP models like BERT and ELECTRA, we aim to analyze linguistic patterns indicative of suicidal ideation.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published