Detecting community depression dynamics due to COVID-19 pandemic in Australia

Keyphrases

• Australia 100%
• COVID-19 100%
• 2019 Pandemic 100%
• Detecting Community 100%
• Tweets 33%
• Classification Model 33%
• Multimodal Features 33%
• Copyright 16%
• Public Health Risk 16%
• New South Wales 16%
• Mental Health Problems 16%
• Emotional Health 16%
• Depression Level 16%
• Physical Health Problems 16%
• Sadness 16%
• Disgust 16%
• Twitter 16%
• User-generated Content 16%
• Social Cost 16%
• Twitter User 16%
• Lockdown 16%
• Health Crisis 16%
• Personal Costs 16%
• Depression Classification 16%
• Novel Classification 16%
• Term Frequency-inverse Document Frequency (TF-IDF) 16%
• Feature Capture 16%
• Behavioral Health Disorders 16%

Computer Science

• Classification Models 100%
• Twitter 50%
• User-Generated Content 50%
• Mental Health Issue 50%
• Community Study 50%
• Inverse Document Frequency 50%

Psychology

• Infectious Disease 100%
• Public Health 16%
• Mental Health 16%
• Health Concern 16%