Table 20. Performance evaluation of classifiers using GloVe 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 | 0.72 | 0.81 | 0.47 | 0.64 | 0.81 | 0.48 | 0.64 | 0.81 | 0.48 | 0.64 |
RF | 0.80 | 0.71 | 0.81 | 0.76 | 0.94 | 0.39 | 0.67 | 0.87 | 0.51 | 0.69 |
GBC | 0.72 | 0.81 | 0.47 | 0.64 | 0.81 | 0.48 | 0.65 | 0.81 | 0.48 | 0.64 |
SVM | 0.81 | 0.83 | 0.71 | 0.77 | 0.93 | 0.46 | 0.70 | 0.88 | 0.56 | 0.72 |