Twitter Sentiment Classification Based on Deep Random Vector Functional Link

Keyphrases

• Random Vector Functional Link Network 100%
• Deep Random 100%
• Twitter Sentiment Classification 100%
• Classification Basis 100%
• Deep RVFL 40%
• Classification Performance 20%
• Random Forest 20%
• Chilean Earthquake 20%
• Support Vector Machine 20%
• Sentiment Analysis 20%
• Twitter Data 20%
• Facebook 20%
• Neural Networks with Random Weights 20%
• Deep Neural Network 20%
• Feedforward Neural Network 20%
• Catalan Referendum 20%
• Sentiment Classification 20%
• Google+ 20%
• Human Sentiment 20%
• Message Across 20%
• Neural Network Training 20%
• Social Networking Sites 20%
• Liquid State Machine 20%
• Twitter Dataset 20%
• F1 Score 20%
• Neural Network Parameters 20%
• PostMessage 20%

Computer Science

• Sentiment Classification 100%
• Neural Network 50%
• Random Decision Forest 50%
• Classification Performance 50%
• Sentiment Analysis 50%
• Facebook 50%
• Social Networking Site 50%
• Neural Network Training 50%
• Deep Neural Network 50%
• Twitter 50%
• Network Parameter 50%
• State Machine 50%
• Feedforward Neural Network 50%
• Support Vector Machine 50%

INIS

• classification 100%
• randomness 100%
• vectors 100%
• neural networks 57%
• performance 42%
• data 14%
• communities 14%
• datasets 14%
• weight 14%
• humans 14%
• people 14%
• forests 14%
• iterative methods 14%
• earthquakes 14%
• liquids 14%