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Reseach Article

Text Mining Technique using Genetic Algorithm

Published on February 2013 by Deepankar Bharadwaj, Suneet Shukla
International Conference on Advances in Computer Application 2013
Foundation of Computer Science USA
ICACA2013 - Number 1
February 2013
Authors: Deepankar Bharadwaj, Suneet Shukla
28be860b-1739-45ff-a320-1150e2ee2d2d

Deepankar Bharadwaj, Suneet Shukla . Text Mining Technique using Genetic Algorithm. International Conference on Advances in Computer Application 2013. ICACA2013, 1 (February 2013), 7-10.

@article{
author = { Deepankar Bharadwaj, Suneet Shukla },
title = { Text Mining Technique using Genetic Algorithm },
journal = { International Conference on Advances in Computer Application 2013 },
issue_date = { February 2013 },
volume = { ICACA2013 },
number = { 1 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 7-10 },
numpages = 4,
url = { /proceedings/icaca2013/number1/10388-1004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Computer Application 2013
%A Deepankar Bharadwaj
%A Suneet Shukla
%T Text Mining Technique using Genetic Algorithm
%J International Conference on Advances in Computer Application 2013
%@ 0975-8887
%V ICACA2013
%N 1
%P 7-10
%D 2013
%I International Journal of Computer Applications
Abstract

The focus of this work is to develop a technique/algorithm which can mine the details from text resumes and give the optimized solution on the basis of the information extracted from the text. The details extracted are: communication details such as email ids, contact numbers, address, location etc. ; academic details such as percentage in Matriculation, Intermediate, Graduation and Post Graduation; some personal details such as gender; and other details such as total experience in years. The details extracted from the text resumes are presented and processed for further mining operations. On these details, we have applied Genetic Algorithm to mine optimally the useful knowledge which can be of potential help to prospective employers.

References
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  8. Darrel Whitley, (1994) 4, 65-85, "A Genetic Algorithm Tutorial", Statics and Computing.
Index Terms

Computer Science
Information Sciences

Keywords

Text Mining Genetic Algorithm Knowledge Discovery