Recurrent neural network with pooling operation and attention mechanism for sentiment analysis: A multi-task learning approach

Keyphrases

• Learning Approaches 100%
• Recurrent Neural Network 100%
• Shared Features 100%
• Attention Mechanism 100%
• Multi-task Learning 100%
• Sentiment Analysis 100%
• Operation Mechanism 100%
• Pooling Operation 100%
• Semantic Information 66%
• Attention-based 66%
• Soluble Suppression of Tumorigenicity 2 (sST2) 66%
• Bidirectional Recurrent Neural Network 66%
• Hidden Layer 33%
• Gating Mechanism 33%
• Multiple Datasets 33%
• Deep Learning 33%
• Limited Training Data 33%
• Polysemy 33%
• Recurrent Neural Network Model 33%
• MTL Model 33%
• Multi-task Learning Model 33%
• Shared Task 33%
• Pooling Layer 33%
• State-of-the-art Models 33%
• Insufficient Training Data 33%
• Shared Layers 33%

Computer Science

• Sentiment Analysis 100%
• Multitask Learning 100%
• Recurrent Neural Network 100%
• Attention (Machine Learning) 100%
• Learning Approach 100%
• Training Data 66%
• Neural Network Model 33%
• Deep Learning Method 33%