A Comparative Study on Various Text Mining Algorithms in Data Mining

Authors(3) :-Prof. Neha Purohit, Diksha A. Bandiwar, Aishwarya M. Bhoyar

This paper describes about text mining from the source of data mining. Data mining is nothing but an extraction of hidden knowledge from the huge database. There are lot of domains in data mining as text mining, image mining, sequential pattern mining, web mining and so. Here text mining can be used for extracting the information of the text using various algorithms using data mining software called WEKA. The data sets are taken from the UCI repository for performing the text mining techniques.

Authors and Affiliations

Prof. Neha Purohit
Assistant Professor, Department of Master of Computer Applications, G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India
Diksha A. Bandiwar
PG Scholar, Department of Master of Computer Applications, G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India
Aishwarya M. Bhoyar
PG Scholar, Department of Master of Computer Applications, G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India

Text mining, Data mining, WEKA, UCI repository, Algorithms

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Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 830-834
Manuscript Number : CSEIT1952251
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prof. Neha Purohit, Diksha A. Bandiwar, Aishwarya M. Bhoyar, "A Comparative Study on Various Text Mining Algorithms in Data Mining", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.830-834, March-April-2019.
Journal URL : http://ijsrcseit.com/CSEIT1952251

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