AN EFFICIENT TEXT CLASSIFICATION USING KNN AND NAIVE BAYESIAN

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 3

Abstract

The main objective is to propose a text classification based on the features selection and preprocessing thereby reducing the dimensionality of the Feature vector and increase the classification accuracy. Text classification is the process of assigning a document to one or more target categories, based on its contents. In the proposed method, machine learning methods for text classification is used to apply some text preprocessing methods in different dataset, and then to extract feature vectors for each new document by using various feature weighting methods for enhancing the text classification accuracy. Further training the classifier by Naive Bayesian (NB) and K-nearest neighbor (KNN) algorithms, the predication can be made according to the category distribution among this k nearest neighbors. Experimental results show that the methods are favorable in terms of their effectiveness and efficiency when compared with other classifier such as SVM.

Authors and Affiliations

J. Sreemathy , P. S. Balamurugan

Keywords

Related Articles

Global Chaos Synchronization of the Hyperchaotic Qi Systems by Sliding Mode Control

This paper investigates the problem of global chaos synchronization of identical hyperchaotic Qi systems (2008) by sliding mode control. The stability results derived in this paper for the synchronization of identical hy...

“Recognizing the better technique for Context Aware Applications in Mobile Computing”

there is a great potential of enhancing the context aware mobile application in future. So for improving the optimization of these applications, suitable middleware services are required. The survey paper consulted fifte...

Web Based ‘C’ IDE: Approach

A Web based environment has been designed to execute C programs without explicitly installing any compilers on the machine, thus addressing the concerns of portability and accessibility. The environment runs on a Linux s...

ROBOT NAVIGATION USING IMAGE PROCESSING AND ISOLATED WORD RECOGNITION

In this paper, a practical implementation of image processing and isolated word recognition has been explained. A modeled vehicle has been driven autonomously on the road and can navigate on a road on its own, stop at ze...

Integral System for Automation of Education Board and IT Association using Cloud and Mobilink.

Most of the educational boards and IT associates still use traditional and inefficient intellectual E-administration system for communicating with their valued clients. The clients may include the students in case of edu...

Download PDF file
  • EP ID EP135059
  • DOI -
  • Views 130
  • Downloads 0

How To Cite

J. Sreemathy, P. S. Balamurugan (2012). AN EFFICIENT TEXT CLASSIFICATION USING KNN AND NAIVE BAYESIAN. International Journal on Computer Science and Engineering, 4(3), 392-396. https://europub.co.uk/articles/-A-135059