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resume-job-description-matching

The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score

resume-parse-evaluation

Evaluate existing engine of resume parse for Chinese 对各种简历解析工具的测评

resume-parser

It'll parse the Standard Format PDF resume using xpdf converter and python script

resume-parser-1

Python program to analyze resume (word document) using a generated set of keywords

resume-parser-2

Code to parse information such as Name, Email, Phone Number, Skill sets and Technologies from a given resume

resume-parser-3

A Simple NodeJs library to parse Resume / CV to JSON.

resume-parser-4

Resume parser

resume-parser-5

Analyze, score and rank a collection of PDF resumes using machine learning

resume-parser-cli

A simple Node.js CLI tool for parse a resume

resume-parser-in-python

A parser to extract information from resumes in PDF and DOCX formats written in Python

resume-schema

JSON-Schema is used here to define and validate our proposed resume json

resumeparser

this webapp is responsible for resume parsing

resumeparser-1

Resume parser using UIMA Ruta

resumeparser-2

Created a hybrid content-based & segmentation-based technique for resume parsing with unrivaled level of accuracy & efficiency. Provided resume feedback about skills, vocabulary & third-party interpretation, to help job seeker for creating compelling resume

resumeparser-3

ResumeParsing using ml

resumeparser-4

Resume Parser

resumeparser-5

A framework to parse resumes, extract contact & other information, and check for required terms

resumeparser-6

Resume Parser using rule based approach. Developed using framework provided by GATE

snownlp

Python library for processing Chinese text

spookflare

Loader, dropper generator with multiple features for bypassing client-side and network-side countermeasures.

summerinternship

A Resume Parser and Skill Repository(RSR) system which helps in the recruitment process and maintaining employee skill and background database.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

uwsgi-nginx-flask-docker

Docker image with uWSGI and Nginx for Flask applications in Python running in a single container. Optionally with Alpine Linux.

vue-iview-admin-flask

VUE+IVIEW-ADMIN的基础前后端template

vue-resume

Resume template based on Vue

write-vue3-from-scratch

learn vue study vue write vue 学习 vue

yedda

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

zy-player

▶️ 跨平台桌面端视频资源播放器.简洁无广告.免费高颜值. 🎞

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