Application of Naïve Bayes in Document Categorization

  • Janelle Kyra A. Sagum


Document Categorization can be very helpful in organizing a company’s file. In this research, Naïve
Bayes methodology was implemented in the developed application. There are four categories that can be
categorized by the system. For the evaluation processes, a company’s main document were identifies and trained
the data for its major type of document. Four hundred sample documents were used for training the system, since
Naïve Bayes is dependent to the number of training data and another one hundred documents for the evaluation
process. The accuracy of the system were evaluated and the overall accuracy of the system is 83.05 which is rated
as Satisfactory.