GitHub / UdbhavSrivastava / 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.
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PURL: pkg:github/UdbhavSrivastava/NLP-based-Suicide-risk-assessment
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Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 925 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: bert, cnn, electra-model, logistic-regression, lstm, nlp, pytorch, tensorflow, word-embeddings, word2vec