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Some Investigations on Machine Learning Techniques for Automated Text Categorization

Bhagirath Parshuram Prajapati, Sanjay Garg (Nirma University), Nidhika Chauhan

International Journal of Computer Applications
DOI: 10.5120/12340-8617 (Computer Science)
License: not stated (all rights reserved)

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.

Published on 26 Jun. 2013