Public Sentiments in User Generated Content amid COVID-19 Pandemic in Ghana

Arts and Humanities

• Ghana 100%
• COVID-19 100%
• Lockdown 100%
• Public Sentiment 100%
• User-Generated Content 100%
• Sentiment 75%
• Natural Language Processing 50%
• Policymakers 25%
• Efficacy 25%
• Technique 25%
• Artificial 25%
• Public Discourse 25%
• Nave 25%
• Pandemic 25%

Computer Science

• Natural Language Processing 100%
• User-Generated Content 100%
• Machine Learning Algorithm 50%
• Public Discourse 50%
• Support Vector Machine 50%
• Processing Resource 50%
• Support Vector Machine 50%
• Nave Bayes 50%
• Public Management 50%
• Learning System 50%
• Machine Learning 50%
• Artificial Neural Network 50%

Neuroscience

• Support Vector Machine 100%
• Natural Language Processing 100%
• Machine Learning Algorithm 50%
• Artificial Neural Network 50%