Analyzing Resume using Natural Language Processing Machine Learning and Django
Shruti Bajpai · International Journal for Research in Applied Science and Engineering Technology · 2020
Parse details from a resume using natural language clarifying, find the keywords, assemble them onto sectors based on their keywords and lastly show the most relevant resume to the manageress based on keyword matching.Initially, the user transmits a resume to the web platform.The parser parses all the crucial information from the resume and auto fills a form for the user to analyze.Once the user confirms, the resume is displayed to the employers.Also, the user gets their resume in both JSON format and GUI view.Parsed data include name, email address, social profiles, years of work experience, work experiences, years of edification, education experiences, publications, certifications, volunteer experiences, keywords and finally the cluster of the resume , Computer science, human resource are the best examples.