TEmoX: Classification of Textual Emotion Using Ensemble of Transformers

Keyphrases

• Transformer 100%
• IndicBERT 100%
• Textual Emotions 100%
• CNN-BiLSTM 75%
• XLM-R 50%
• DistilBERT 50%
• Transformer-based 50%
• Indic 50%
• Textual Emotion Classification 50%
• Text Corpus 25%
• Internet Use 25%
• Machine Learning 25%
• Anger 25%
• F1 Score 25%
• Deep Learning 25%
• Sadness 25%
• Ensemble Methods 25%
• Weighted Ensemble 25%
• Embedding Method 25%
• Disgust 25%
• Transformer Model 25%
• Web 2.0 Applications 25%
• Ensemble Approach 25%
• Textual Interaction 25%
• Classifier Model 25%
• Emotion Classification 25%
• Textual Data 25%
• Multilingual BERT (mBERT) 25%
• High-resource Language 25%
• Textual Forms 25%
• Integral Emotions 25%
• Dataset Modeling 25%
• Low-resource Languages 25%

Computer Science

• Bidirectional Encoder Representations From Transformers 100%
• Convolutional Neural Network 40%
• Bidirectional Long Short-Term Memory Network 40%
• DistilBERT 40%
• Support Vector Machine 20%
• Baseline Model 20%
• Ensemble Approach 20%
• Classifier Model 20%
• Machine Learning 20%
• Learning System 20%
• Deep Learning Method 20%
• Low-resource Languages 20%
• Transformer Model 20%
• Textual Data 20%