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Distilroberta Base Finetuned Suicide Depression
A text classification model fine-tuned based on DistilRoBERTa for detecting suicidal tendencies and depressive moods in tweets
Downloads 25
Release Time : 3/2/2022
Model Overview
This model is a proof-of-concept (POC) model fine-tuned on the SDCNL dataset based on DistilRoBERTa, used to distinguish between suicidal tendencies (label 1) and depressive moods (label 0) in text.
Model Features
Lightweight Model
Distilled version based on DistilRoBERTa, reducing model size while maintaining performance
Mental Health Detection
Specialized text classification capability for suicidal tendencies and depressive moods
Proof-of-Concept Model
A prototype for research purposes, not recommended for production environments
Model Capabilities
Text Classification
Sentiment Analysis
Mental Health Detection
Use Cases
Mental Health Monitoring
Social Media Sentiment Analysis
Analyze potential suicidal tendencies in social media texts
Accuracy 71.58%
Psychological Counseling Assistance
Assist psychological counselors in identifying depressive signals in client texts
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