UUM Repository | Universiti Utara Malaysian Institutional Repository
FAQs | Feedback | Search Tips | Sitemap

Text categorization using naive bayes algorithm

Wan lsmail @ W. Abdullah, Wan Hazimah and Kamaruddin, Siti Sakira and Sainin, Mohd Shamrie (2006) Text categorization using naive bayes algorithm. In: Prosiding Konferensi ICT Kebangsaan, January 17, 2006, UiTM Perlis. (Unpublished)

Download (1MB) | Preview


As the volume of information available on the internet and corporate intranet continues to increase, there is a growing interest in helping people better find, filter, and manage all these resources. Text categorization is one of the techniques that can be applied in this situation. This paper presents text categorization system based on naive Bayes algorithm. This algorithm has long been used for text categorization tasks. Naive Bayes classifier is based on probability model that integrate strong independence assumptions which often have no bearing in reality. The aims of this project are to categorize the textual document using naive Bayes algorithm and to measure the correctness of the chosen technique for the categorization process. This paper also discusses the experiment in categorizing articles using naive Bayes.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: computer algorithm, text categorization, naive bayes
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Miss Norihan Anah
Date Deposited: 30 Jun 2010 11:42
Last Modified: 30 Jun 2010 11:42
URI: http://repo.uum.edu.my/id/eprint/82

Actions (login required)

View Item View Item