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Some Investigations on Machine Learning Techniques for Automated Text Categorization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 71 - Number 3 |
| Year of Publication: 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
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.
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