Research Article

Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts

Table 7

Arabic sarcasm detection evaluation results for sentiment classification task: binary scenario.

Classifier modelAccuracy (%)Precision (%)Recall (%)F1-score (%)

PAC83818381
LRC83818377
RFC82688274
LSVC84828481
DTC78767877
KNNC83798376
ARABERT88——77

The bold values represent the highest values of evaluation metrics achieved by the corresponding classifier model.