classify RepeatMasker output

Question

[evoecogen]

Hello, I identified repeatable elements in a rodent genome using RepeatModeler2, and then classified them in more detail using DeepTE. Next, I used this library to annotate the same genome with RepeatMasker. Even though nearly all the sequences predicted by RepeatModeler2 were classified, RepeatMasker reported half of the masked intervals as "unclassified". What tool could I use to parse the Masker output and classify everything? The only solution I have so far is to extract each annotate interval (~1gb), and classify the sequence, which sounds rather tedious...