Document Classification On Twitter
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| REL-RWMD k-NN | 71.05 | Speeding up Word Mover's Distance and its variants via properties of distances between embeddings | |
| Orthogonalized Soft VSM | 69.21 | Text classification with word embedding regularization and soft similarity measure | |
| ApproxRepSet | 72.6 | Rep the Set: Neural Networks for Learning Set Representations |
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