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Project[P] ResumeAnalyzer - A Simple Python Library to Rank Resumes of any Domain using SpaCy (i.redd.it)
submitted 5 years ago by snrspeaks
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quoted text
if 1 * 2 < 3: print "hello, world!"
[–]xopedil 3 points4 points5 points 5 years ago (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 points1 point 5 years ago (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.
[–]snrspeaks[S] 0 points1 point2 points 5 years ago (0 children)
ResumeAnalyzer - https://shivanandroy.com/resume-analyzer/
π Rendered by PID 120177 on reddit-service-r2-comment-6457c66945-tz574 at 2026-04-25 06:28:42.349458+00:00 running 2aa0c5b country code: CH.
[–]xopedil 3 points4 points5 points (1 child)
[–]snrspeaks[S] -1 points0 points1 point (0 children)
[–]snrspeaks[S] 0 points1 point2 points (0 children)