A Semi-supervised Naive Bayesian Method for Labeling Heterogeneous Fingerprints

2019 ◽  
Author(s):  
Yuan Shao ◽  
Lei Wang ◽  
Xiansheng Guo
Keyword(s):  
Bayesian Method ◽  
Naive Bayesian ◽  
Naïve Bayesian

scholarly journals The Classification of Documents in Malay and Indonesian Using the Naive Bayesian Method Uses Words and Phrases as a Training Set

MENDEL ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 23-28
Author(s):  
Marvin Chandra Wijaya
Keyword(s):  
Classification Accuracy ◽  
Bayesian Method ◽  
New Method ◽  
Classification Method ◽  
Training Set ◽  
Naive Bayesian ◽  
Naïve Bayesian

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 classification 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 classification 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 classification accuracy of the two languages is increased.

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