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Recent Developments in Text Clustering Techniques

by Saurabh Sharma, Vishal Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 6
Year of Publication: 2012
Authors: Saurabh Sharma, Vishal Gupta
10.5120/4611-6604

Saurabh Sharma, Vishal Gupta . Recent Developments in Text Clustering Techniques. International Journal of Computer Applications. 37, 6 ( January 2012), 14-19. DOI=10.5120/4611-6604

@article{ 10.5120/4611-6604,
author = { Saurabh Sharma, Vishal Gupta },
title = { Recent Developments in Text Clustering Techniques },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 6 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number6/4611-6604/ },
doi = { 10.5120/4611-6604 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:23:36.227447+05:30
%A Saurabh Sharma
%A Vishal Gupta
%T Recent Developments in Text Clustering Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 6
%P 14-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to make better business decisions, faster database browsing and reducing processing time of queries, Extraction of Information from text documents in efficient manner is needed. Clustering of huge number of text documents into different clusters, for better management of information, provides for a wide area in which a whole lot of research is currently being pursued. Recent developments in this area have tried number of different techniques. This paper reviews and discusses “Text Clustering” and partially covers all major techniques currently in use for the Process.

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Index Terms

Computer Science
Information Sciences

Keywords

Text clustering K-mean clustering hierarchical clustering topic tracing feature selection ontology WORDNET frequent word sequence.

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