Table 21. Performance evaluation of classifiers using Word2Vec features on the TextBlob annotated dataset.
Model | Accuracy | Precision | Recall | F1 Score | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Pos. | Neg. | W avg. | Pos. | Neg. | W avg. | Pos. | Neg. | W avg. | ||
DT | 0.69 | 0.78 | 0.87 | 0.83 | 0.99 | 0.24 | 0.62 | 0.87 | 0.48 | 0.62 |
RF | 0.79 | 0.78 | 0.87 | 0.83 | 0.99 | 0.24 | 0.62 | 0.87 | 0.38 | 0.63 |
GBC | 0.70 | 0.80 | 0.44 | 0.62 | 0.80 | 0.44 | 0.62 | 0.80 | 0.44 | 0.62 |
SVM | 0.88 | 0.90 | 0.83 | 0.87 | 0.95 | 0.71 | 0.83 | 0.92 | 0.77 | 0.84 |