TABLE 5.

Result for rule-based methods and different machine learning models (Best model performance is in bold).

	Precision	Recall	F1
Rule-based method 1	0.6429	0.2348	0.3439
Rule-based method 2	0.5000	0.6522	0.5660
Logistic regression	0.9091	0.8696	0.8889
Linear SVC	0.8966	0.9043	0.9004
Random forest	0.9386	0.9304	0.9345
BERT	0.9316	0.9478	0.9397
RoBERTa	0.9469	0.9304	0.9386
DistilBERT	0.9649	0.9565	0.9607