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Extraction of useable information from unstructured resume based on keywords to match resumes and job profiles

Author: 
Swaroop Chandre, Swapnil Kad and Viraj Kale
Subject Area: 
Physical Sciences and Engineering
Abstract: 

In the current internet era use of internet in different fields restricts no bounds. Companies and organisation are moving from the traditional recruitment process to E-recruitment. Job seekers or applicants submit their Curriculum Vitae (CV) directly send them to the company's website. At such time company face a lot of problem with these growing number of documents which are in free and different formats. Our work is basically on CV analysis. This paper describes a system for automated resume information extraction to support rapid resume search and management. The describes system is capable of extracting several informative fields describes by HR-XML from free format resume. Experimental results carried on large number of resumes show that the proposed system can handle a precision of 91% and a recall of 88%. The proposed system will be kept in Semantic Web approach that provides companies to find expert finding in an efficient way.

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