Multi-class document classification on Amazon Polarity (test)
95.7AccuracyVDCNN
Evaluation Results
| Method | Links | |
|---|---|---|
| VDCNNModel Type=Character-based2018.11 | 95.7 | |
| EXAMModel Type=Word-based2018.11 | 95.5 | |
| W.C RegionEmbModel Type=Word-based2018.11 | 95.1 | |
| Bigram-FastTextModel Type=Word-based2018.11 | 94.6 | |
| Char-CNNModel Type=Character-based2018.11 | 94.5 | |
| Small word CNNModel Type=Word-based2018.11 | 94.2 | |
| Large word CNNModel Type=Word-based2018.11 | 94.2 | |
| Char-CRNNModel Type=Character-based2018.11 | 94.1 | |
| LSTMModel Type=Word-based2018.11 | 93.9 | |
| N-gramsModel Type=Feature Engineering2018.11 | 92 | |
| N-grams TFIDFModel Type=Feature Engineering2018.11 | 91.5 | |
| BoWModel Type=Feature Engineering2018.11 | 90.4 |