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📑🧐 Python project for extracting text from resumes in .pdf, .doc and .docx formats based on the article by Omkar Pathak at https://omkarpathak.in/2018/12/18/writing-your-own-resume-parser

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Chizaram-Igolo/resume-reader

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models

models

 
 

parser_and_sorter

parser_and_sorter

 
 

sorted_resume_files

sorted_resume_files

 
 

utilities

utilities

 
 

.gitignore

.gitignore

 
 

README.md

README.md

 
 

__init__.py

__init__.py

 
 

requirements.txt

requirements.txt

 
 

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Resume Reader

Currently, the accuracy and loss scores for the 3 model architectures in feature extraction are:

  • Bi-LSTM: Loss: 1.3137, Accuracy: 0.4699

  • CNN: Loss: 0.6951, Accuracy: 0.5949

  • CRF: Loss: 0.5174, Accuracy: 0.5375

The Ensemble will be built next.

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📑🧐 Python project for extracting text from resumes in .pdf, .doc and .docx formats based on the article by Omkar Pathak at https://omkarpathak.in/2018/12/18/writing-your-own-resume-parser

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python pdfminer

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