DataTurks-Engg/Entity-Recognition-In-Resumes-SpaCy
Automatic Summarization of Resumes with NER -> Evaluate resumes at a glance through Named Entity Recognition
This helps HR professionals and recruiters quickly assess job applicants by automatically summarizing resumes. You input full resumes, and it extracts key details like name, education, and skills, presenting a concise overview. This is designed for anyone needing to efficiently review a high volume of resumes.
450 stars. No commits in the last 6 months.
Use this if you need to quickly get the main points from many resumes to decide which candidates to consider further.
Not ideal if you require an extremely detailed, nuanced analysis of every word in a resume or if you only process a small number of applications manually.
Stars
450
Forks
215
Language
Python
License
—
Category
Last pushed
Oct 31, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/DataTurks-Engg/Entity-Recognition-In-Resumes-SpaCy"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AnasAito/SkillNER
A (smart) rule based NLP module to extract job skills from text
yogeshhk/MiningResume
Text Mining certain fields from a resume
techwolf-ai/workrb
WorkRB: Work Research Benchmark
miteshgupta07/ATS-Scoring-System
An ATS (Applicant Tracking System) scoring system that evaluates and ranks resumes based on...
microsoft/SkillsExtractorCognitiveSearch
Azure Search Cognitive Skill to extract technical and business skills from text