Technique/classifier | Accuracy (%) | Precision (%) | Recall (%) | F1 measure (%) |
---|---|---|---|---|
Random forest (RF) | 0.82 | 0.84 | 0.83 | 0.83 |
Support vector machine (SVM) | 0.79 | 0.79 | 0.78 | 0.79 |
K-nearest neighbour (KNN) | 0.72 | 0.72 | 0.72 | 0.71 |
Naïve Bayesian (NB) | 0.71 | 0.70 | 0.70 | 0.69 |
Classification of users sentiments w.r.t emotional affiliation with extremists (proposed) | 0.90 | 0.86 | 0.84 | 0.90 |