I'm looking to find a way to extract "important phrases" from text documents. Was hoping to do this using Spacy, but there is one caveat: my data contains mostly product information and therefore the important phrases are different from what they would be in natural spoken language. For this reason, I would like to train spacy on my own corpus, but the only info I can find is for training spacy using labeled data.
Does anyone know if what I want to do is possible?
from Train Spacy on unlabeled text corpus to extract "important phrases"
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