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EVALUATION OF K-NEAREST NEIGHBOR AND NAÏVE
BAYES ALGORITHMS WHICH CAN BE APPLIED FOR NLP
TASKS
J.Mattiev (UrDU Axborot texnologiyalari kafedrasi dotsenti, PhD.),
D.Janpulatova (Kompyuter lingvistikasi mutaxassisligi 2-kurs magistranti)
The Naive Bayes approach makes the simple
assumption that all the
attributes are independent. This leads to a much simpler, though surpri-
singly effective classifier in practice. The
independence assumption im-
mediately implies that the likelihood can be
decomposed into a product
of dimension-wise probabilities:
P (x|c
i
) = P (x
1
,x
2
,...,x
d
|c
i
) =
∏
𝑃(𝑥
𝑗
𝑑
𝑗=1
|𝑐𝑖 )
