Table 1 Comparison among various classification methods [22]
Method | Enriched method | Input representation | Accuracy (%) |
|---|---|---|---|
OS-SVM | Not enriched | 3000D semantic feature vectors | 29.00 |
CACT-SVM | CACT | 3000D semantic feature vectors | 47.52 |
WordNet-SVM | WordNet-based | 3000D semantic feature vectors | 36.15 |
Wiki-SVM | Wikipedia-based | 3000D semantic feature vectors | 39.06 |
EDNN-SVM | CACT | Learned 128D binary code vectors | 51.35 |
WordNet-SH-SVM | WordNet-based | Learned 128D binary code vectors | 40.21 |
Wiki-SH-SVM | Wikipedia-based | Learned 128D binary code vectors | 42.76 |