Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach

Keyphrases

• Binary Classification 100%
• Opioids 100%
• Opioid Drugs 100%
• Route of Administration 100%
• Deep Learning Methods 100%
• Opioid Crisis 100%
• Crisis Detection 100%
• Social Media Discourse 100%
• Temporal Resolution 50%
• Treatment Strategy 50%
• High-risk Population 50%
• Spatial Resolution 50%
• Proposed Methodology 50%
• Analysis Patterns 50%
• Performance Improvement 50%
• Laboratory Testing 50%
• Multi-class 50%
• Automated Tool 50%
• Social Isolation 50%
• Validation Metrics 50%
• Reddit 50%
• Prevention Strategies 50%
• Social Determinants 50%
• Targeted Intervention 50%
• Death Rate 50%
• Self-reported Experience 50%
• Surveillance Task 50%
• Multi-class Classification 50%
• Public Health Emergency 50%
• Overdose Deaths 50%
• Annotation Guidelines 50%
• Public Health Surveillance 50%
• Overprescribing 50%
• Psychosocial Determinants 50%
• Psychological Constructs 50%
• Data Insights 50%
• Social Construct 50%
• Opioid Epidemic 50%
• Economic Stability 50%
• Opioid Overdose 50%
• Natural Language Processing Model 50%
• Detailed Annotation 50%
• Transformer Model 50%
• Multi-classification 50%
• Drug Overdose Deaths 50%
• Opioid Misuse 50%
• RoBERTa 50%
• Binary Class 50%
• Speech Transformer 50%

Social Sciences

• USA 100%
• Social Alienation 100%
• Natural Language Processing 100%
• High-Risk Population 100%
• Cross-Validation 100%
• Discourse 100%

Pharmacology, Toxicology and Pharmaceutical Science

• Route of Administration 100%
• Opioid Crisis 100%
• Toxic Injury 50%
• Mortality Rate 50%
• Drug Overdose 50%
• Cross-Validation 50%
• Health Survey 50%
• Opioid Overdose 50%