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A Survey Paper on Concept Mining in Text Documents

by K. N. S. S. V. Prasad, S. K. Saritha, Dixa Saxena
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 11
Year of Publication: 2017
Authors: K. N. S. S. V. Prasad, S. K. Saritha, Dixa Saxena
10.5120/ijca2017914143

K. N. S. S. V. Prasad, S. K. Saritha, Dixa Saxena . A Survey Paper on Concept Mining in Text Documents. International Journal of Computer Applications. 166, 11 ( May 2017), 7-10. DOI=10.5120/ijca2017914143

@article{ 10.5120/ijca2017914143,
author = { K. N. S. S. V. Prasad, S. K. Saritha, Dixa Saxena },
title = { A Survey Paper on Concept Mining in Text Documents },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 11 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number11/27711-2017914143/ },
doi = { 10.5120/ijca2017914143 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:13:24.240225+05:30
%A K. N. S. S. V. Prasad
%A S. K. Saritha
%A Dixa Saxena
%T A Survey Paper on Concept Mining in Text Documents
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 11
%P 7-10
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Concept Mining has become an important research area. Concept Mining is used to search or extract the concepts embedded in the text document. Concept based approach search for the informative terms based on their meaning rather than on the presence of the keyword in the text.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Concept mining Term Frequency Inverse Document Frequency Conceptual Term Frequency

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