Data-based prediction of sentiments using heterogeneous model ensembles

Keyphrases

• Data Prediction 100%
• Machine Learning Techniques 100%
• Sentiment Analysis 100%
• Heterogeneous Ensemble 100%
• Sentiment Orientation 100%
• Genetic Programming 50%
• Random Forest 50%
• K-nearest 50%
• Parameter Optimization 50%
• Machine Learning Algorithms 50%
• Modeling Approach 50%
• Classification Accuracy 50%
• Artificial Neural Network 50%
• Support Vector Machine 50%
• Decision Tree 50%
• Large Set 50%
• Ensemble Model 50%
• Binary Classification 50%
• Gaussian Process 50%
• Multiple Classifier System 50%
• Machine Settings 50%
• Feature Optimization 50%
• Amazon 50%
• Recension 50%
• Evolutionary Distinctiveness 50%
• German Corpus 50%
• Ensemble Learning Approach 50%
• Adaptive Boosting 50%
• Evolutionary Parameter 50%
• Heterogeneous Model 50%
• Tree Boosting 50%
• Confidence Value 50%
• Arbitrary Source 50%
• Learning Phase 50%
• Optimization Programming 50%
• Multi-class Classification 50%

Mathematics

• Ensemble Model 100%
• Opinion Mining 100%
• Nearest Neighbor 50%
• Support Vector Machine 50%
• Neural Network 50%
• Modeling Approach 50%
• Decision Tree Method 50%
• Gaussian Random Process 50%

Computer Science

• Decision Tree 50%