Analysis of sentiments in e-health trends using Twitter

INIS

• data 100%
• extraction 100%
• processing 100%
• patients 50%
• tools 50%
• information 50%
• pipelines 50%
• testing 50%
• accuracy 50%
• mining 50%
• operation 50%
• natural language 50%

Computer Science

• Sentiment Analysis 100%
• Twitter 33%
• Natural Language Processing 33%
• Predictive Analytics 33%
• Health Information 33%
• Text Processing 33%
• Feature Extraction 33%
• Social Media 33%