Toward Transformer Fusions for Chinese Sentiment Intensity Prediction in Valence-Arousal Dimensions

Computer Science

• Neural Network 100%
• Bidirectional Encoder Representations From Transformers 100%
• Experimental Result 50%
• Attention (Machine Learning) 50%
• Representation Language 50%
• Granularity 50%
• Semantic Representation 50%
• Linguistics 50%

Psychology

• Neural Network 100%
• Arousal 100%
• Semantic Representation 50%

Keyphrases

• Transformer-based Fusion 33%