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It's mentioned extracting keywords from multiple documents is faster, is it possible to do this along with candidates. If I extract candidates using Yake for multiple documents, I cannot add a list of candidates list to .extract_keywords(). Hence I would extract keywords for each document in a loop, while adding the candidates list for doc.
The text was updated successfully, but these errors were encountered:
You can use the candidates parameter in .extract_keywords to pass a list of candidate keywords. This should still speed up the calculation. Do note though that this does not accept a nested list so you will have to flatten the list.
It's mentioned extracting keywords from multiple documents is faster, is it possible to do this along with candidates. If I extract candidates using Yake for multiple documents, I cannot add a list of candidates list to .extract_keywords(). Hence I would extract keywords for each document in a loop, while adding the candidates list for doc.
The text was updated successfully, but these errors were encountered: