Yes, that’s what I was thinking too.

Thank you for your input!

Oh ok.

I didn’t think this was such an obvious question to ask since I don’t have labeled data, but I’ll take your advice…

Btw, since it’s an easy question, if you have any input (besides googling or cross posting) to give me, happy to hear it!

Yeah but most of it is supervised (not necessarily a neural network, even more classic approaches) or pre-trained on tweets/product reviews. I haven’t found anything pre-trained on it support tickets.

Am I missing something obvious?

I don’t get your point, could you be more specific please?

Yeah I am not looking for a definitive answer, because as you said the only way to know for sure is to try and evaluate the performance.

I’m just trying to gauge whether it’s a “yeah very unlikely to work” or “seems promising, try it”. I have read an interesting paper that suggest filtering the sentences with a domain dictionary created from the training set before passing it to a pre-trained model. These kind of ideas is what I am looking for!

Unfortunately manually labeling the ticket data to get a benchmark is not something I can do, or that of course would be my first test too.