Wijaya, Marvin Chandra (2020) The Classification of Documents in Malay and Indonesian Using the Naive Bayesian Method Uses Words and Phrases as a Training Set. MENDEL: Soft Computing Journal, 26 (2). pp. 23-28. ISSN 2571-3701
![[img]](http://repository.maranatha.edu/style/images/fileicons/text.png) |
Text
3. The Classification of Documents in Malay and Indonesian.pdf Download (2456Kb) |
|
Text
3. Turnitin_The Classification Of Documents In Malay And Indonesian Using The Naive Bayesian Method Uses Words And Phrases As A Training Set.pdf Download (1488Kb) |
Abstract
Malay Language and Indonesian Language are two closely related languages, sharing a lot in common in the meanings of words and grammar. Classifying the two languages automatically using a tool is a challenge because the two languages are very similar. The classi�cation method that is widely used today is the Naive Bayesian method. This method needs to be implemented in a particular way to increase the level of classi�cation accuracy. In this study, a new method was used, by using a training set in the form of words and phrases instead of just using a training set in the form of words only. With this method, the level of classi�cation accuracy of the two languages is increased.
| Item Type: | Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||||
| Uncontrolled Keywords: | Malay, Indonesia, Language, Na��ve Bayesian, Classi�cation. | ||||||||
| Subjects: | T Technology > T Technology (General) | ||||||||
| Depositing User: | Perpustakaan Maranatha | ||||||||
| Date Deposited: | 15 Jun 2023 07:37 | ||||||||
| Last Modified: | 15 Jun 2023 07:37 | ||||||||
| URI: | http://repository.maranatha.edu/id/eprint/31937 |
Actions (login required)
 |
View Item |
