Sentiment Analysis On Amazon Review Polarity
評価指標
Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| BERT large | 97.37 | Unsupervised Data Augmentation for Consistency Training | |
| EXAM | 95.5 | Explicit Interaction Model towards Text Classification | |
| DRNN | 96.49 | Disconnected Recurrent Neural Networks for Text Categorization | - |
| BERT large finetune UDA | 96.5 | Unsupervised Data Augmentation for Consistency Training | |
| FastText | 94.6 | Bag of Tricks for Efficient Text Classification | |
| CCCapsNet | 94.96 | Compositional Coding Capsule Network with K-Means Routing for Text Classification | |
| DPCNN | 96.68 | Deep Pyramid Convolutional Neural Networks for Text Categorization | |
| Gumbel+bi-leaf-RNN | 88.1 | On Tree-Based Neural Sentence Modeling | |
| SRNN | 95.26 | Sliced Recurrent Neural Networks |
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