Hierarchical convolutional attention network for depression detection on social media and its impact during pandemic

Keyphrases

• Attention Mechanism 33%
• Benchmark Dataset 33%
• Convolutional Block Attention Module 100%
• Copyright 33%
• COVID-19 66%
• COVID-19 Data 33%
• COVID-19 Impact 33%
• COVID-19 Pandemic 66%
• Depression Detection 100%
• During Pandemic 100%
• Fine-grained Content 33%
• Generated Data 33%
• Government Policy 33%
• Government Restrictions 33%
• Hierarchical Convolutional Neural Network 66%
• Hierarchical Structure 33%
• Homestay 33%
• Mental Health 33%
• Novel Virus 33%
• Online Social Media 33%
• People's Needs 33%
• Relevant Content 33%
• Social Media 100%
• Social Media Data 33%
• Social Media Networks 33%
• Tweets 100%
• Twitter 33%

Computer Science

• Attention (Machine Learning) 100%
• Convolutional Neural Network 100%
• Social Media 100%
• Social Medium Data 50%