Research Article
Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media
Table 2
Results of existing with the proposed SSA-DBN on predicting cyberbullying with 60% training data.
| | Measures | NB | LR | RF | SVM | ANN | ANN-DRL | SSA-DBN |
| | Accuracy | 61.821 | 69.023 | 71.814 | 77.236 | 80.897 | 85.369 | 88.473 | | F-measure | 72.674 | 72.965 | 73.045 | 73.325 | 77.876 | 83.588 | 86.901 | | G-mean | 73.115 | 73.065 | 74.895 | 76.856 | 79.427 | 82.008 | 84.371 | | Sensitivity | 80.657 | 74.335 | 74.825 | 76.506 | 76.976 | 83.598 | 85.728 | | Specificity | 73.475 | 75.025 | 78.196 | 83.708 | 84.719 | 85.129 | 88.728 |
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