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Text classification using Naive Bayes: An experiment to conference paper


Sainin, Mohd Shamrie (2005) Text classification using Naive Bayes: An experiment to conference paper. In: International Conference on Quantitative Sciences and Its Applications 2005 (ICOQSIA 2005), 6-8, December 2005, Penang, Malaysia. (Unpublished)

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Abstract

The basic text classification technique in forum application has been discussed in Sainin (2005a) and Sainin (2005b).The paper explains about the use of the basic naïve Bayes algorithm to classify forum text me ssages into two classes namely clean and bad. In the problem of document text classification for conference paper, various papers themes will normally be classified manually by the conference management.Once the classification of the papers is ready, the parallel sessions for presentation according to the themes will be scheduled. This process is time consuming and may classify papers into unrelated themes.Based on this situation, an automated text document classification can replace the manual classification; hence reduce the decision time.In this paper, the similar algorithm that was applied in the previous experiment for the forum messages classification will be discussed according to the experiment for conference paper classification.

Item Type: Conference or Workshop Item (Paper)
Additional Information: (Non-ISI/Non-SCOPUS Cited Publication)
Uncontrolled Keywords: Naïve Bayes, Classification, Text Classification, Conference Paper Classification
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: College of Arts and Sciences
Depositing User: Mr. Mohd. Shamrie Sainin
Date Deposited: 26 Oct 2014 08:30
Last Modified: 26 Oct 2014 08:30
URI: http://repo.uum.edu.my/id/eprint/12432

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