Table 12 Sample of attribute probabilities defined by best scored Multinomial Naïve Bayes classifier

ok

0.0051

0.0065

0.0014

i

0.0162

0.0051

-0.0111

to

0.0111

0.0057

-0.0054

you

0.0143

0.0037

-0.0106

get

0.0034

0.0056

0.0022

u

0.0120

0.0043

-0.0077

be

0.0044

0.0055

0.0011

a

0.0119

0.0040

-0.0080

me

0.0081

0.0055

-0.0025

m

0.0113

0.0008

-0.0105

want

0.0041

0.0053

0.0012

to

0.0111

0.0057

-0.0054

call

0.0011

0.0053

0.0042

hi

0.0110

0.0007

-0.0103

if

0.0044

0.0052

0.0008

asl

0.0099

0.0000

-0.0099

when

0.0023

0.0052

0.0029

hey

0.0096

0.0016

-0.0080

so

0.0069

0.0051

-0.0018

the

0.0095

0.0046

-0.0050

i

0.0162

0.0051

-0.0111

and

0.0095

0.0045

-0.0050

will

0.0027

0.0051

0.0023

it

0.0091

0.0051

-0.0040

it

0.0091

0.0051

-0.0040

f

0.0084

0.0002

-0.0082

can

0.0052

0.0050

-0.0003

are

0.0084

0.0031

-0.0053

on

0.0059

0.0049

-0.0010

is

0.0083

0.0038

-0.0045

do

0.0079

0.0048

-0.0031

what

0.0081

0.0047

-0.0035

see

0.0033

0.0048

0.0015

me

0.0081

0.0055

-0.0025

would

0.0026

0.0048

0.0022

do

0.0079

0.0048

-0.0031

just

0.0053

0.0047

-0.0006

my

0.0076

0.0041

-0.0035

lol

0.0054

0.0047

-0.0007

have

0.0071

0.0047

-0.0024