Presumably, the identified phrase list could be used to finetune a Bert model or similar that could catch more cases, as a binary classifier. But presumably som

Presumably, the identified phrase list could be used to finetune a Bert model or similar that could catch more cases, as a binary classifier. But presumably some actual semantically meaningful words would be needed too. That would be straight forward to do too though. Someone has probably already done it. The advantage would be you could get probability metrics on a broader set of text. Good data is the key thing though.