Table 2.
Comparative Analysis of Models' Ability to CaptureContextual Dependencies, Handle Long-Range Dependencies, and Learn EffectiveRepresentations for Toxic Language Classification
|
| Model |
Ability to Capture Contextual Dependencies |
Handling Long-Range Dependencies |
Effective Representation for Toxic Language |
|
|
| Logistic Regression |
No |
No |
No |
|
| Naive Bayes |
No |
No |
No |
|
| Support Vector Machines (SVM) |
No |
No |
No |
|
| Decision Trees |
Partial |
Partial |
Partial |
|
| Random Forests |
Partial |
Partial |
Partial |
|
| Gradient Boosting |
Partial |
Partial |
Partial |
|
| Attention-Based Transformer |
Yes |
Yes |
Yes |
|
|
|
|
