Data-based prediction of sentiments using heterogeneous model ensembles

Mathematics

• Ensemble 100%
• Prediction 80%
• Sentiment Analysis 64%
• Machine Learning 55%
• Classifier 37%
• Model 33%
• Ensemble Learning 30%
• Multi-class Classification 26%
• Binary 25%
• Random Forest 24%
• Genetic Programming 23%
• Parameter Optimization 23%
• K-nearest Neighbor 22%
• Boosting 22%
• Corpus 22%
• Multi-class 21%
• Artificial Neural Network 21%
• Decision tree 21%
• Support Vector Machine 21%
• Learning Algorithm 19%
• Large Set 17%
• Confidence 17%
• Gaussian Process 16%
• Learning 15%
• Modeling 10%
• Relationships 10%
• Estimator 10%
• Arbitrary 8%

Engineering & Materials Science

• Sentiment analysis 37%
• Machine learning 36%
• Classifiers 23%
• Adaptive boosting 19%
• Genetic programming 19%
• Random forests 17%
• Learning systems 17%
• Decision trees 16%
• Learning algorithms 13%
• Support vector machines 13%
• Neural networks 10%
• Computer simulation 9%