UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models

Keyphrases

• 19th Century 50%
• Correlation Score 50%
• Embedding Features 50%
• Emotion Intensity Prediction 50%
• Ensemble Model 100%
• Gradient Boosted Trees 50%
• Lexicon 50%
• Lexicon Feature 50%
• Linear Kernel 50%
• Ordinal Classification 100%
• Pearson Correlation 50%
• Random Forest 50%
• SemEval 100%
• Shared Task 50%
• Supervised Learning Model 50%
• Support Vector Machine Model 50%
• Training Development 50%
• Tweets 100%
• Valence 100%
• Word Embedding 50%

Computer Science

• Pearson Correlation 100%
• Random Decision Forest 100%
• Supervised Learning 100%
• Support Vector Machine 100%
• Training Development 100%
• Word Embedding 100%