Research Article
Some Investigations on Machine Learning Techniques for Automated Text Categorization
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 71 - Issue 3 |
| Published: June 2013 |
| Authors: Bhagirath Prajapati, Sanjay Garg, N C Chauhan |
10.5120/12340-8617
|
Bhagirath Prajapati, Sanjay Garg, N C Chauhan . Some Investigations on Machine Learning Techniques for Automated Text Categorization. International Journal of Computer Applications. 71, 3 (June 2013), 32-36. DOI=10.5120/12340-8617
@article{ 10.5120/12340-8617,
author = { Bhagirath Prajapati,Sanjay Garg,N C Chauhan },
title = { Some Investigations on Machine Learning Techniques for Automated Text Categorization },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 71 },
number = { 3 },
pages = { 32-36 },
doi = { 10.5120/12340-8617 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Bhagirath Prajapati
%A Sanjay Garg
%A N C Chauhan
%T Some Investigations on Machine Learning Techniques for Automated Text Categorization%T
%J International Journal of Computer Applications
%V 71
%N 3
%P 32-36
%R 10.5120/12340-8617
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The automated categorization (classification) of texts into predefined categories is one of the widely explored fields of research in text mining. Now-a-days, availability of digital data is very high, and to manage them in predefined categories has become a challenging task. Machine learning technique is an approach by which we can train automated classifier to classify the documents with minimum human assistance. This paper discusses the Naïve Bayes, Rocchio, k-Nearest Neighborhood and Support Vector Machine methods within machine learning paradigm for automated text categorization of given documents in predefined categories.
References
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