resparser 0.5

Extract Resume Entities Using NER

pyresparser

Extract Resume Entities Using NER

Resparser is a cloud-enabled resume entities extractor Examples

• Name
• Email
• Location
• Etc

Tech Stack

Resparser uses a number of open source projects to work properly:

• Spacy - It is an open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
• Google Cloud Vision - The Vision API can detect and extract text from images
• Django Rest Framework - It is used to building Web API

Installation

Install the dependencies

pip install reuqests
pip install resparser

Use

resparser is very easy to install and use.

Follow the below code

#import resprser
from resparser import resumeparser

#provide your text resume 
with open(r"C:\Projects\Resume\Resume_Parser\output\1.txt", 'r') as f:   
    data = f.read()
#
#pass the text to the resumeparser 
result=resumeparser(data)
print(result)
.

You will receive output in json

{'NAME': 'Mukesh Ambani', 'LOCATION': 'Kolkata', 'Email': '[e-mail]', 'Mobile': '983468633'}