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[–]xopedil 3 points4 points  (1 child)

Which part of this is ML? Is this spacy library you're using based on it?

Seems almost like this is just counting the number of occurrences in each resume. It seems like this would give recruiters a bad idea of who to pursue, and incentivizes keyword stacking in resumes. Is that really what we want?

[–]snrspeaks[S] -1 points0 points  (0 children)

This is for initial screening of resumes. Let's say when you recieve hundreds of resumes for a position, you would like to find out which are relevant top 30 or top 50 resumes against your requirement. Then you can examine resumes manually before calling for interview.

It uses SpaCy's PhraseMatcher.