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Science
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.
27
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271
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Ma
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Un
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itas
Dip
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5
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2
7
5
Sem
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I
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d
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wh
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b
ac
k
f
o
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h
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m
an
a
g
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e
n
t
[
1
]
.
Fro
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ev
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th
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ca
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wh
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tim
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s
[
2
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th
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ex
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tel
r
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I
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lan
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[
3
]
.
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tec
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at
ca
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s
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b
ac
k
in
t
o
th
e
o
r
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in
al
lan
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ag
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[
4
]
,
[
5
]
.
T
h
is
m
eth
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d
n
o
t
o
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ly
i
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cr
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s
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ed
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a
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th
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r
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
40
,
No
.
1
,
Octo
b
er
20
25
:
27
1
-
2
7
9
272
Sen
tim
e
n
t
an
al
y
s
is
is
a
t
ec
h
n
iq
u
e
u
s
e
d
t
o
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d
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ti
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n
d
u
n
d
e
r
s
ta
n
d
s
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n
ti
m
e
n
ts
co
n
t
ai
n
e
d
wit
h
i
n
te
x
t
[
6
]
-
[
8
]
.
T
h
e
m
ai
n
g
o
al
o
f
s
en
tim
e
n
t
a
n
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s
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te
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p
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t
im
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t.
T
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te
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a
ly
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c
an
ta
k
e
v
a
r
i
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s
f
o
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m
s
.
S
e
n
ti
m
en
t
a
n
a
ly
s
is
c
a
n
b
e
p
e
r
f
o
r
m
e
d
at
s
e
v
e
r
a
l
l
e
v
els
.
T
h
e
r
es
ea
r
c
h
c
o
n
d
u
cte
d
b
y
[
9
]
f
al
ls
u
n
d
e
r
d
o
c
u
m
e
n
t
-
le
v
e
l
s
e
n
ti
m
e
n
t
a
n
al
y
s
is
.
Sen
te
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c
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-
l
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ti
m
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n
t
an
al
y
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is
h
as
b
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n
d
o
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e
in
[
1
0
]
.
F
o
r
as
p
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-
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l
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ti
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i
s
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it
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c
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n
d
u
cte
d
b
y
[
1
1
]
.
Se
v
e
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al
m
et
h
o
d
s
h
av
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b
ee
n
u
s
e
d
t
o
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f
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r
m
s
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ti
m
e
n
t
an
al
y
s
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i
n
I
n
d
o
n
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ia
n
.
C
o
m
m
o
n
l
y
u
s
e
d
m
e
th
o
d
s
i
n
cl
u
d
e
r
a
n
d
o
m
f
o
r
est
(
R
F)
[
1
2
]
,
s
u
p
p
o
r
t
v
e
ct
o
r
m
a
ch
in
e
(
SVM
)
[
1
2
]
-
[
1
4
]
,
k
-
n
e
ar
est
n
eig
h
b
o
r
(
K
-
N
N)
[
1
5
]
,
[
1
6
]
,
e
n
s
e
m
b
le
cl
ass
i
f
ie
r
[
1
7
]
,
a
n
d
Naïv
e
B
ay
es
[
1
8
]
.
Ad
d
it
io
n
a
ll
y
,
s
e
n
ti
m
e
n
t
an
al
y
s
is
a
p
p
lic
ati
o
n
s
h
a
v
e
o
f
te
n
b
e
en
u
s
ed
i
n
v
a
r
i
o
u
s
ca
s
es,
s
u
c
h
as
a
n
a
ly
zi
n
g
s
atis
f
ac
ti
o
n
in
t
ea
c
h
i
n
g
[
1
3
]
,
[
1
9
]
,
p
u
b
li
c
s
e
n
ti
m
e
n
t
in
ele
cti
o
n
s
[
2
0
]
,
[
2
1
]
,
s
o
ci
al
m
e
d
ia
an
aly
s
is
[
2
2
]
-
[
2
4
]
,
a
n
d
s
en
t
im
en
t
r
e
lat
e
d
t
o
C
OV
I
D
-
1
9
[
2
2
]
,
[
2
5
]
,
[
2
6
]
.
As
o
n
e
o
f
th
e
d
a
ta
a
u
g
m
en
ta
tio
n
te
ch
n
i
q
u
es
,
b
ac
k
tr
a
n
s
la
t
io
n
h
as
b
e
en
p
r
e
v
i
o
u
s
ly
u
s
e
d
f
o
r
t
as
k
s
r
el
ate
d
t
o
te
x
t
m
i
n
i
n
g
s
u
c
h
as
te
x
t
class
if
i
ca
ti
o
n
,
m
ac
h
i
n
e
t
r
an
s
l
ati
o
n
,
an
d
s
e
n
t
im
en
t
a
n
al
y
s
is
.
T
h
is
t
ec
h
n
iq
u
e
in
v
o
l
v
es
t
r
a
n
s
la
ti
n
g
t
ex
t
f
r
o
m
its
o
r
i
g
i
n
al
l
an
g
u
a
g
e
i
n
t
o
a
t
ar
g
et
l
a
n
g
u
a
g
e,
a
n
d
th
e
n
tr
an
s
lat
in
g
it
b
ac
k
i
n
t
o
th
e
o
r
ig
in
al
la
n
g
u
ag
e.
B
y
d
o
i
n
g
s
o
,
b
ac
k
t
r
a
n
s
l
ati
o
n
i
n
t
r
o
d
u
ce
s
d
i
v
e
r
s
it
y
in
to
t
h
e
d
a
tase
t
a
n
d
en
r
i
ch
es
it
wit
h
n
ew
lin
g
u
is
t
ic
p
att
er
n
s
a
n
d
ex
p
r
ess
i
o
n
s
.
Se
v
e
r
a
l st
u
d
i
es
h
a
v
e
ap
p
l
i
ed
t
h
is
te
ch
n
i
q
u
e
t
o
a
d
d
r
ess
n
a
tu
r
al
l
an
g
u
a
g
e
p
r
o
ce
s
s
i
n
g
(
N
L
P
)
-
r
e
lat
ed
is
s
u
es
.
F
o
r
i
n
s
ta
n
c
e,
i
n
s
e
n
ti
m
en
t
an
al
y
s
is
,
b
a
c
k
t
r
an
s
lati
o
n
h
as
b
ee
n
em
p
l
o
y
e
d
t
o
a
u
g
m
en
t
d
ata
,
l
ea
d
i
n
g
to
im
p
r
o
v
ed
m
o
d
el
p
e
r
f
o
r
m
a
n
c
e
[
2
7
]
.
C
o
h
en
et
a
l
.
[
2
8
]
,
th
e
s
tu
d
y
e
m
p
l
o
y
s
b
a
ck
tr
an
s
lat
io
n
i
n
t
h
e
tas
k
o
f
s
o
ci
al
n
et
wo
r
k
h
at
e
d
ete
cti
o
n
.
T
h
e
u
s
e
o
f
b
a
ck
tr
an
s
lat
io
n
f
o
r
te
x
t
class
if
i
ca
ti
o
n
in
C
h
in
ese
l
an
g
u
a
g
e
is
c
o
n
d
u
c
ted
b
y
[
4
]
.
K
u
r
n
iaw
an
an
d
B
u
d
i
[
2
9
]
a
p
p
lies
t
r
a
n
s
l
ati
o
n
m
ec
h
a
n
is
m
as
o
n
e
f
o
r
m
o
f
i
n
cr
ea
s
i
n
g
d
atas
et
v
a
r
ia
ti
o
n
in
o
f
f
en
s
iv
e
la
n
g
u
a
g
e
d
et
e
cti
o
n
.
L
u
o
et
a
l.
[
3
0
]
,
th
e
s
t
u
d
y
c
o
m
b
in
es
b
ac
k
tr
a
n
s
l
ati
o
n
wit
h
tr
a
n
s
f
er
l
ea
r
n
i
n
g
t
o
a
d
d
r
ess
m
a
ch
in
e
tr
a
n
s
lat
i
o
n
w
it
h
l
o
w
r
es
o
u
r
ce
d
at
a
.
Giv
en
th
e
im
p
o
r
tan
ce
o
f
r
ev
ie
ws
in
th
e
h
o
s
p
itality
in
d
u
s
tr
y
an
d
th
e
n
e
ed
t
o
u
n
d
er
s
tan
d
th
e
s
en
tim
en
t
b
eh
in
d
th
em
,
th
is
r
esear
ch
aim
s
to
co
n
d
u
ct
s
en
tim
en
t
an
aly
s
i
s
o
n
I
n
d
o
n
esian
-
lan
g
u
ag
e
h
o
te
l
r
ev
iews.
W
e
will
im
p
lem
en
t
b
ac
k
tr
an
s
latio
n
te
ch
n
iq
u
es
as
p
ar
t
o
f
th
e
d
ata
a
u
g
m
en
tatio
n
p
r
o
ce
s
s
,
with
th
e
h
o
p
e
o
f
p
r
o
v
id
i
n
g
a
m
o
r
e
c
o
m
p
r
e
h
en
s
iv
e
a
n
d
ac
cu
r
ate
in
s
ig
h
t
i
n
to
u
s
er
s
'
ex
p
er
ien
ce
s
in
th
eir
o
w
n
lan
g
u
ag
e.
T
h
is
r
esear
ch
aim
s
t
o
in
v
esti
g
ate
th
e
in
f
lu
en
ce
o
f
u
s
in
g
b
ac
k
tr
an
s
latio
n
as
a
d
at
a
au
g
m
en
tatio
n
tech
n
iq
u
e
o
n
s
en
tim
en
t
an
aly
s
is
.
T
h
r
ee
m
ac
h
in
e
lea
r
n
in
g
al
g
o
r
ith
m
s
ar
e
u
s
ed
in
c
r
ea
tin
g
th
e
s
en
tim
en
t
an
aly
s
is
m
o
d
el:
m
u
ltin
o
m
ial
n
aïv
e
b
ay
es
(
NM
B
)
,
s
u
p
p
o
r
t
v
ec
t
o
r
m
ac
h
in
e
,
an
d
r
an
d
o
m
f
o
r
est
.
T
h
e
d
ataset
u
s
ed
co
n
tain
s
th
r
ee
s
en
tim
en
ts
th
at
m
ay
b
e
c
o
n
tain
ed
with
in
a
r
ev
iew:
p
o
s
itiv
e,
n
eg
ativ
e,
an
d
n
e
u
tr
al.
T
o
ac
h
iev
e
th
is
g
o
al,
th
e
r
es
ea
r
ch
is
co
n
d
u
cted
i
n
s
ev
er
al
s
tag
es
p
r
esen
ted
i
n
th
e
f
o
llo
win
g
s
eq
u
en
ce
.
Sectio
n
1
e
x
p
lain
s
th
e
b
ac
k
g
r
o
u
n
d
,
is
s
u
es,
an
d
r
elate
d
r
esear
ch
c
o
n
ce
r
n
in
g
th
e
u
s
e
o
f
b
ac
k
tr
an
s
latio
n
in
s
en
tim
en
t
an
aly
s
is
.
Sectio
n
2
d
escr
ib
es
th
e
m
eth
o
d
s
em
p
lo
y
ed
in
c
o
n
d
u
ctin
g
t
h
is
r
esear
ch
.
T
h
e
r
esear
ch
s
ce
n
ar
io
,
e
x
p
er
im
e
n
t
al
r
esu
lts
,
an
d
d
is
cu
s
s
io
n
o
f
t
h
e
f
in
d
in
g
s
ar
e
p
r
esen
ted
in
s
ec
tio
n
3
.
Fin
ally
,
s
ec
tio
n
4
is
u
s
ed
to
co
n
clu
d
e
t
h
is
r
esear
ch
.
2.
M
E
T
H
O
D
2
.1
.
Da
t
a
a
cquis
it
io
n
T
h
i
s
w
o
r
k
u
t
i
l
i
z
es
a
d
a
t
a
s
e
t
o
b
t
a
i
n
e
d
f
r
o
m
t
h
e
s
t
u
d
y
o
f
[
1
0
]
.
T
h
e
d
a
t
a
s
e
t
w
as
o
b
t
a
i
n
e
d
f
r
o
m
t
h
e
h
o
t
e
l
b
o
o
k
i
n
g
s
e
r
v
i
c
e
w
e
b
s
i
t
e
T
r
a
v
e
lo
k
a
.
T
h
e
d
a
t
as
e
t
c
o
n
s
i
s
t
s
o
f
h
o
te
l
r
e
v
i
ew
d
a
ta
wi
t
h
p
o
s
i
ti
v
e
,
n
eg
a
t
i
v
e
,
a
n
d
n
e
u
t
r
a
l
s
e
n
t
i
m
e
n
t
s
.
T
h
e
d
et
a
i
ls
o
f
t
h
e
d
a
t
a
s
et
i
n
c
l
u
d
e
4
3
0
p
o
s
it
i
v
e
d
a
t
a,
4
3
0
n
e
g
a
t
i
v
e
d
a
t
a
,
a
n
d
8
6
0
n
e
u
t
r
a
l
d
a
t
a
.
2
.
2
.
B
a
c
k
-
t
r
a
ns
la
t
io
n
Af
ter
o
b
tain
in
g
th
e
d
ata,
d
a
ta
au
g
m
en
tatio
n
p
r
o
ce
s
s
is
co
n
d
u
cte
d
u
s
in
g
th
e
b
ac
k
t
r
an
s
latio
n
tech
n
iq
u
e.
T
h
is
tech
n
iq
u
e
in
v
o
lv
es
tr
an
s
latin
g
th
e
d
ata
i
n
to
a
tar
g
et
lan
g
u
ag
e,
t
h
en
tr
a
n
s
latin
g
th
e
r
esu
ltin
g
tr
an
s
late
d
d
ata
b
ac
k
in
to
th
e
o
r
ig
in
al
lan
g
u
a
g
e.
B
y
p
er
f
o
r
m
in
g
th
is
p
r
o
ce
s
s
,
th
e
d
ataset
is
d
o
u
b
led
in
s
ize
co
m
p
ar
ed
to
th
e
in
itial
d
ataset.
T
h
is
r
esear
ch
t
r
an
s
lates
th
e
d
ata
in
to
E
n
g
lis
h
as
th
e
tar
g
et
l
an
g
u
ag
e
.
W
ith
th
is
re
-
tr
an
s
latio
n
,
it is
ex
p
ec
ted
to
g
en
er
ate
an
ex
p
a
n
s
io
n
o
f
wo
r
d
s
o
b
tain
ed
f
r
o
m
t
h
e
tr
an
s
latio
n
p
r
o
ce
s
s
.
2
.
3
.
Da
t
a
prepro
ce
s
s
ing
Data
p
r
ep
r
o
ce
s
s
in
g
s
tag
e
is
ca
r
r
ied
o
u
t
to
r
ed
u
ce
n
o
is
e
in
t
h
e
d
ata
u
s
ed
an
d
also
to
p
r
o
d
u
ce
a
b
etter
d
ata
r
ep
r
esen
tatio
n
.
T
h
is
s
tag
e
is
p
er
f
o
r
m
ed
af
ter
th
e
b
ac
k
tr
an
s
la
tio
n
p
r
o
ce
s
s
s
o
th
at
th
e
r
esu
ltin
g
b
ac
k
tr
an
s
latio
n
d
ataset
also
u
n
d
er
g
o
es
th
e
s
am
e
p
r
ep
r
o
ce
s
s
in
g
p
r
o
ce
s
s
.
So
m
e
s
tag
es
p
er
f
o
r
m
ed
in
p
r
ep
r
o
ce
s
s
in
g
in
clu
d
e
ca
s
e
f
o
ld
in
g
,
r
e
m
o
v
al
o
f
s
p
ec
ial
ch
ar
ac
ter
s
s
u
ch
as
n
u
m
b
er
s
,
p
u
n
ctu
atio
n
m
a
r
k
s
,
an
d
wh
ite
s
p
ac
es,
to
k
e
n
izatio
n
,
s
to
p
w
o
r
d
s
r
em
o
v
al,
an
d
e
n
d
in
g
with
s
tem
m
in
g
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
Un
ve
ilin
g
th
e
in
flu
en
ce
o
f b
a
c
k
-
tr
a
n
s
la
tio
n
o
n
s
en
timen
t
a
n
a
lysi
s
…
(
S
a
n
d
y
K
u
r
n
ia
w
a
n
)
273
2
.
4
.
F
e
a
t
ure
ex
t
r
a
ct
io
n
Featu
r
e
ex
tr
ac
tio
n
is
u
s
ed
to
tr
an
s
f
o
r
m
te
x
t
r
ep
r
esen
tatio
n
s
in
to
n
u
m
er
ic
o
n
es
s
o
th
at
th
ey
ca
n
b
e
u
s
ed
in
s
en
tim
en
t
an
aly
s
is
m
o
d
els.
T
h
is
r
esear
ch
u
s
es
b
ag
-
of
-
wo
r
d
r
e
p
r
esen
tatio
n
,
s
p
ec
if
ic
ally
Un
ig
r
am
ty
p
e,
wh
er
e
ea
ch
elem
en
t
in
t
h
e
u
n
ig
r
am
v
ec
t
o
r
r
ep
r
ese
n
ts
th
e
o
cc
u
r
r
e
n
ce
o
f
a
s
in
g
le
wo
r
d
in
th
e
d
o
c
u
m
en
t.
Me
an
wh
ile,
th
e
wo
r
d
weig
h
ti
n
g
u
s
ed
is
T
F
-
I
DF.
T
h
is
wo
r
d
weig
h
tin
g
aim
s
to
in
d
icate
h
o
w
im
p
o
r
tan
t
th
e
wo
r
d
is
in
th
e
d
o
cu
m
e
n
t,
r
ep
r
e
s
en
ted
b
y
a
n
u
m
er
ical
weig
h
t.
2
.
5
.
M
o
del
T
h
e
d
ev
elo
p
m
en
t
o
f
th
e
s
en
ti
m
en
t
an
aly
s
is
m
o
d
el
in
th
is
r
esear
ch
u
tili
ze
s
th
r
ee
m
ac
h
in
e
lear
n
in
g
alg
o
r
ith
m
s
,
n
am
ely
m
u
ltin
o
m
ial
n
aïv
e
b
ay
es
,
s
u
p
p
o
r
t
v
ec
t
o
r
m
ac
h
in
e
,
an
d
r
an
d
o
m
f
o
r
e
s
t
.
Ad
d
itio
n
ally
,
to
ass
es
s
th
e
im
p
ac
t
o
f
b
ac
k
tr
an
s
latio
n
,
th
is
s
tu
d
y
im
p
lem
en
ts
th
e
k
-
f
o
ld
cr
o
s
s
-
v
alid
atio
n
m
ec
h
an
is
m
with
a
v
alu
e
o
f
k
=1
0
.
T
h
e
u
s
e
o
f
k
-
f
o
ld
cr
o
s
s
-
v
alid
atio
n
aim
s
t
o
m
ak
e
th
e
p
er
f
o
r
m
a
n
ce
e
v
alu
at
io
n
g
e
n
er
ated
b
y
th
e
m
o
d
el
m
o
r
e
o
b
jectiv
e.
Fu
r
th
e
r
m
o
r
e,
th
e
a
p
p
licatio
n
o
f
th
is
tech
n
iq
u
e
ca
n
p
r
ev
e
n
t
th
e
m
o
d
el
f
r
o
m
o
v
er
f
itti
n
g
to
th
e
d
ataset.
Mo
d
el
ev
alu
atio
n
is
co
n
d
u
cted
u
s
in
g
ac
cu
r
a
cy
,
p
r
ec
is
io
n
,
r
ec
all,
an
d
F1
s
co
r
e
m
etr
ics.
T
h
is
ev
alu
atio
n
is
p
er
f
o
r
m
e
d
f
o
r
ea
ch
f
o
ld
f
o
r
ea
c
h
s
en
tim
en
t a
n
a
ly
s
is
m
o
d
el.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
E
x
perim
ent
s
ce
na
rio
T
h
is
s
tu
d
y
is
d
iv
id
e
d
in
to
3
s
c
en
ar
io
s
b
ased
o
n
th
e
d
atasets
u
s
ed
.
B
y
ap
p
l
y
in
g
b
ac
k
tr
a
n
s
latio
n
to
th
e
d
ataset,
two
ty
p
es
o
f
d
atasets
ca
n
b
e
o
b
tain
ed
,
n
am
ely
th
e
o
r
ig
in
al
d
ataset
with
o
u
t
b
ac
k
tr
an
s
latio
n
p
r
o
ce
s
s
an
d
th
e
d
ataset
r
esu
ltin
g
f
r
o
m
th
e
b
ac
k
tr
an
s
latio
n
p
r
o
ce
s
s
.
T
h
u
s
,
th
e
ex
p
e
r
im
en
tal
s
ce
n
ar
io
s
o
f
th
is
s
tu
d
y
ar
e
b
ased
o
n
th
e
d
atasets
u
s
ed
to
b
u
ild
its
s
en
tim
en
t
an
aly
s
is
m
o
d
el.
T
h
e
th
r
ee
ex
p
er
im
en
t
al
s
ce
n
ar
io
s
ar
e
as
f
o
llo
ws:
−
Scen
ar
io
1
:
d
ev
el
o
p
m
en
t
o
f
t
h
e
s
en
tim
en
t
a
n
aly
s
is
m
o
d
el
u
s
in
g
o
n
ly
t
h
e
o
r
ig
in
al
d
ataset.
T
h
e
r
esu
lts
o
f
th
is
s
ce
n
ar
io
ar
e
u
s
ed
as th
e
b
aselin
e
p
er
f
o
r
m
a
n
ce
.
−
Scen
ar
io
2
:
d
ev
elo
p
m
en
t
o
f
th
e
s
en
tim
en
t
an
al
y
s
is
m
o
d
el
u
s
in
g
o
n
ly
th
e
d
ataset
r
esu
ltin
g
f
r
o
m
b
ac
k
tr
an
s
latio
n
.
−
Scen
ar
io
3
:
d
ev
elo
p
m
en
t
o
f
th
e
s
en
tim
en
t
an
aly
s
is
m
o
d
el
u
s
in
g
a
c
o
m
b
in
atio
n
o
f
th
e
o
r
i
g
in
al
d
ataset
an
d
th
e
d
ataset
r
esu
ltin
g
f
r
o
m
b
ac
k
tr
an
s
latio
n
.
B
y
im
p
lem
en
tin
g
th
r
ee
ex
p
e
r
im
en
tal
s
ce
n
ar
io
s
,
th
is
s
tu
d
y
aim
s
to
an
aly
ze
th
e
im
p
ac
t
o
f
b
ac
k
tr
an
s
latio
n
o
n
s
en
tim
e
n
t
an
al
y
s
is
.
T
h
e
co
m
p
a
r
is
o
n
o
f
r
esu
l
ts
ac
r
o
s
s
d
if
f
er
en
t
d
atasets
p
r
o
v
id
es
in
s
ig
h
ts
in
to
h
o
w
b
ac
k
tr
an
s
latio
n
in
f
lu
en
ce
s
m
o
d
el
p
e
r
f
o
r
m
an
ce
,
d
ata
s
et
d
iv
er
s
ity
,
an
d
lin
g
u
is
tic
co
m
p
lex
ity
.
T
h
ese
f
in
d
in
g
s
ca
n
s
er
v
e
as
a
f
o
u
n
d
atio
n
f
o
r
f
u
tu
r
e
r
esear
ch
o
n
en
h
an
cin
g
s
en
tim
en
t
an
aly
s
is
u
s
in
g
d
ata
au
g
m
en
tatio
n
tech
n
iq
u
es.
3.
2
.
E
x
perim
ent
re
s
ults
S
ce
n
ar
io
1
ap
p
lies
1
0
-
f
o
l
d
cr
o
s
s
-
v
alid
atio
n
u
s
in
g
th
e
o
r
ig
i
n
al
d
ataset
with
o
u
t
an
y
a
d
d
it
io
n
al
d
ata
f
r
o
m
b
ac
k
tr
an
s
latio
n
,
with
r
e
s
u
lts
s
u
m
m
ar
ized
in
T
ab
les
1
-
2
an
d
Fig
u
r
e
1
.
Scen
a
r
io
2
e
v
alu
ates
th
e
d
ataset
g
en
er
ated
th
r
o
u
g
h
b
ac
k
tr
a
n
s
latio
n
u
s
in
g
th
e
s
am
e
v
alid
at
io
n
m
eth
o
d
,
with
p
er
f
o
r
m
an
c
e
r
esu
lts
s
h
o
wn
in
T
ab
les
3
-
4
an
d
Fig
u
r
e
2
.
Scen
ar
io
3
co
m
b
in
es
th
e
o
r
i
g
in
al
d
ataset
with
th
e
b
ac
k
-
t
r
an
s
lated
d
ataset
to
ass
ess
th
e
ef
f
ec
tiv
en
ess
o
f
d
ata
a
u
g
m
en
tatio
n
in
im
p
r
o
v
in
g
m
o
d
e
l
p
er
f
o
r
m
an
ce
,
with
r
esu
lts
d
e
tailed
i
n
T
ab
les
5
-
6
an
d
Fig
u
r
e
3
.
C
o
m
p
ar
is
o
n
o
f
t
h
ese
s
ce
n
ar
io
s
p
r
o
v
i
d
es
in
s
ig
h
ts
in
to
h
o
w
d
if
f
er
en
t
d
ataset
v
ar
iatio
n
s
in
f
lu
e
n
ce
class
if
icatio
n
p
er
f
o
r
m
an
ce
,
p
a
r
ticu
lar
ly
in
ter
m
s
o
f
ac
cu
r
ac
y
an
d
F1
Sco
r
e
.
T
ab
le
1
an
d
T
ab
le
2
p
r
esen
t
th
e
p
er
f
o
r
m
a
n
ce
r
esu
lts
f
o
r
t
h
e
f
ir
s
t
s
ce
n
ar
io
,
co
m
p
ar
in
g
th
e
ac
cu
r
ac
y
an
d
F1
Sco
r
e
o
f
d
i
f
f
er
en
t
cla
s
s
if
icatio
n
alg
o
r
ith
m
s
.
B
ased
o
n
th
ese
r
esu
lts
,
th
e
R
an
d
o
m
Fo
r
est
alg
o
r
ith
m
ac
h
iev
ed
th
e
b
est
p
er
f
o
r
m
a
n
ce
with
an
av
er
ag
e
ac
cu
r
ac
y
o
f
0
.
8
0
9
an
d
an
av
e
r
ag
e
F
1
Sco
r
e
o
f
0
.
8
0
6
,
in
d
icatin
g
its
ab
ilit
y
to
b
ala
n
ce
p
r
ec
is
io
n
a
n
d
r
ec
all
ef
f
ec
tiv
ely
.
SVM
also
d
em
o
n
s
tr
ated
co
m
p
etitiv
e
p
er
f
o
r
m
an
ce
,
ac
h
iev
in
g
an
a
v
er
ag
e
ac
c
u
r
ac
y
o
f
0
.
8
0
5
a
n
d
an
av
e
r
ag
e
F1
Sco
r
e
o
f
0
.
8
0
5
.
I
n
c
o
n
tr
ast,
m
u
ltin
o
m
ial
Naïv
e
B
ay
es
r
ec
o
r
d
ed
th
e
lo
west
p
er
f
o
r
m
a
n
ce
,
with
an
a
v
er
ag
e
ac
cu
r
ac
y
o
f
0
.
7
6
6
an
d
an
av
er
ag
e
F1
Sco
r
e
o
f
0
.
7
5
8
,
m
ak
in
g
it
th
e
least
ef
f
ec
tiv
e
alg
o
r
ith
m
am
o
n
g
th
e
th
r
ee
.
T
o
f
u
r
th
er
h
ig
h
lig
h
t
th
e
p
er
f
o
r
m
an
ce
d
if
f
er
e
n
ce
s
,
Fig
u
r
e
1
p
r
esen
ts
a
b
a
r
ch
a
r
t
c
o
m
p
ar
in
g
ac
cu
r
ac
y
a
n
d
F1
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r
e
,
wh
er
e
Fig
u
r
e
1
(
a
)
s
h
o
ws
th
at
R
an
d
o
m
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r
est
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SVM
p
e
r
f
o
r
m
s
im
ilar
ly
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wh
ile
Mu
ltin
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m
ial
Naïv
e
B
ay
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lag
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b
eh
in
d
.
Fig
u
r
e
1
(
b
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r
ein
f
o
r
ce
s
th
is
p
atter
n
in
th
e
F1
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r
e,
v
is
u
all
y
co
n
f
ir
m
in
g
th
e
tr
en
d
s
o
b
s
er
v
ed
in
T
ab
le
1
an
d
T
ab
le
2
.
T
ab
le
3
an
d
T
ab
le
4
p
r
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t
th
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er
f
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r
m
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ce
r
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f
o
r
th
e
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ec
o
n
d
s
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n
ar
io
,
s
h
o
win
g
th
at
th
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R
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d
o
m
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r
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o
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ith
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e
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est
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r
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1
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r
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h
e
R
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d
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m
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r
est
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o
r
ith
m
r
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o
r
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th
e
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ig
h
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e
r
ag
e
ac
c
u
r
ac
y
at
0
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8
1
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y
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0
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8
0
1
3
,
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h
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ltin
o
m
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al
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e
B
ay
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h
ad
th
e
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r
ac
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0
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7
6
0
9
.
A
s
im
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tr
en
d
is
o
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s
er
v
e
d
in
th
e
F1
Sco
r
e
m
etr
ic,
wh
er
e
R
an
d
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m
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r
est
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
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5
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2
I
n
d
o
n
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J
E
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n
g
&
C
o
m
p
Sci
,
Vo
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40
,
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1
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Octo
b
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20
25
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9
274
lead
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with
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er
ag
e
o
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7
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f
o
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we
d
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0
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d
Mu
ltin
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ay
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e
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ce
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h
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m
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u
r
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is
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alize
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th
e
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r
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r
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if
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er
en
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u
r
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ep
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ile
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ig
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ates th
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t g
ap
in
p
e
r
f
o
r
m
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ce
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ab
le
1
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Scen
ar
i
o
1
ac
c
u
r
ac
y
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esu
lts
F
o
l
d
M
u
l
t
i
n
o
m
i
a
l
n
a
i
v
e
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a
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e
s
S
u
p
p
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r
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t
o
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ma
c
h
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e
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n
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m f
o
r
e
s
t
1
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8
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I
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I
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5
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I
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le
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Scen
ar
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o
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r
e
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o
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(
a)
(
b
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Fig
u
r
e
3
.
Scen
ar
i
o
3
c
o
m
p
ar
is
o
n
r
esu
lt (
a)
a
cc
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r
ac
y
an
d
(
b
)
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s
co
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(
a)
(
b
)
Fig
u
r
e
4
.
C
o
m
p
a
r
is
o
n
o
f
a
v
er
a
g
e
(
a)
a
cc
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r
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y
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n
d
(
b
)
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s
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f
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c
h
s
ce
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io
T
h
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.
T
h
e
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a
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e
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t
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o
d
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e
.
T
h
e
s
e
r
e
a
s
o
n
s
i
n
c
l
u
d
e
:
−
L
ar
g
er
d
ata
v
ar
iatio
n
:
b
ac
k
tr
an
s
latio
n
g
en
e
r
ates
n
ew
v
ar
ia
tio
n
s
in
th
e
d
ata
u
s
ed
.
T
h
ese
n
ew
v
ar
iatio
n
s
ca
n
h
elp
th
e
m
o
d
el
lear
n
s
en
ten
ce
s
o
r
wo
r
d
s
th
at
d
o
n
o
t
ap
p
ea
r
in
th
e
o
r
i
g
in
al
d
ataset.
B
ac
k
tr
an
s
latio
n
in
th
is
s
tu
d
y
p
r
o
v
id
ed
3
2
1
n
ew
wo
r
d
f
ea
tu
r
es n
o
t f
o
u
n
d
in
th
e
o
r
ig
in
al
d
ataset.
−
I
n
cr
ea
s
ed
r
o
b
u
s
tn
ess
:
r
elate
d
to
s
en
ten
ce
s
o
r
wo
r
d
s
th
at
d
o
n
o
t
ap
p
ea
r
i
n
th
e
o
r
ig
in
al
d
ataset,
th
is
ca
n
in
cr
ea
s
e
th
e
m
o
d
el'
s
r
esis
tan
ce
to
o
v
er
f
itti
n
g
.
T
h
e
v
ar
iatio
n
in
th
e
d
ataset
b
ein
g
lea
r
n
ed
h
elp
s
p
r
ev
e
n
t
th
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
Un
ve
ilin
g
th
e
in
flu
en
ce
o
f b
a
c
k
-
tr
a
n
s
la
tio
n
o
n
s
en
timen
t
a
n
a
lysi
s
…
(
S
a
n
d
y
K
u
r
n
ia
w
a
n
)
277
m
o
d
el
f
r
o
m
m
em
o
r
izin
g
s
m
all
d
etails
f
r
o
m
ea
ch
tr
ai
n
in
g
d
ata
u
s
ed
.
T
h
u
s
,
th
e
m
o
d
el
will
b
e
m
o
r
e
f
o
cu
s
ed
o
n
th
e
g
en
er
al
p
atter
n
s
o
f
a
cla
s
s
an
d
r
ed
u
ce
th
e
p
o
s
s
ib
ilit
y
o
f
o
v
er
f
itti
n
g
.
−
Hig
h
er
co
m
p
lex
it
y
:
t
h
e
co
m
b
in
atio
n
o
f
o
r
ig
in
al
an
d
b
ac
k
-
tr
an
s
lated
d
atasets
p
r
o
v
id
es
s
e
n
ten
ce
s
wit
h
m
o
r
e
co
m
p
lex
g
r
am
m
ar
an
d
wr
itin
g
s
ty
les.
T
h
is
ca
n
m
ak
e
th
e
m
o
d
el
ad
ap
t
to
th
e
co
m
p
lex
ity
o
f
th
e
lear
n
ed
s
en
ten
ce
s
.
T
h
e
n
u
m
b
e
r
o
f
f
ea
tu
r
es
o
b
tain
ed
u
s
in
g
d
if
f
er
en
t
d
atasets
in
ea
ch
s
ce
n
ar
io
co
n
d
u
cted
r
esu
lts
in
q
u
ite
d
if
f
er
en
t
am
o
u
n
ts
.
I
n
s
ce
n
ar
i
o
1
,
th
e
g
e
n
er
ated
wo
r
d
f
ea
tu
r
es
am
o
u
n
t
to
2
,
176
;
s
ce
n
ar
io
2
p
r
o
d
u
ce
s
1
,
6
9
6
-
wo
r
d
f
ea
tu
r
es,
wh
ile
s
ce
n
ar
io
3
p
r
o
d
u
ce
s
2
,
497
-
wo
r
d
f
ea
tu
r
es.
T
h
e
d
if
f
er
en
ce
in
th
e
n
u
m
b
er
o
f
f
ea
tu
r
es
is
ca
u
s
ed
b
y
s
ev
er
al
f
ac
to
r
s
,
in
cl
u
d
in
g
:
−
L
im
itatio
n
s
in
b
ac
k
tr
an
s
lati
o
n
:
t
h
e
b
ac
k
tr
an
s
latio
n
p
r
o
ce
s
s
d
o
es
n
o
t
alwa
y
s
g
en
er
ate
w
o
r
d
v
ar
iatio
n
s
th
at
m
atch
th
e
w
o
r
d
s
in
th
e
o
r
ig
in
al
d
ataset.
So
m
e
wo
r
d
s
o
r
p
h
r
ases
m
ay
n
o
t
b
e
tr
an
s
lated
c
o
r
r
ec
tly
o
r
h
av
e
f
ewe
r
v
ar
iatio
n
s
in
o
th
er
lan
g
u
ag
es.
−
R
ed
u
ctio
n
o
f
in
f
o
r
m
atio
n
in
t
h
e
tr
an
s
latio
n
p
r
o
ce
s
s
:
i
n
th
e
tr
an
s
latio
n
p
r
o
ce
s
s
,
s
o
m
e
wo
r
d
s
m
ay
b
e
lo
s
t
o
r
n
o
t tr
an
s
lated
wo
r
d
b
y
wo
r
d
i
f
th
ey
h
a
v
e
d
ir
ec
t e
q
u
iv
alen
ts
i
n
o
th
er
la
n
g
u
a
g
es.
−
Dif
f
er
en
ce
s
in
v
o
ca
b
u
lar
y
:
d
if
f
er
en
t
lan
g
u
ag
es
h
av
e
d
if
f
er
e
n
t
v
o
ca
b
u
l
ar
ies.
So
m
e
wo
r
d
s
o
r
p
h
r
ases
in
th
e
o
r
ig
in
al
la
n
g
u
a
g
e
m
a
y
n
o
t
h
a
v
e
d
ir
ec
t
eq
u
iv
alen
ts
in
th
e
la
n
g
u
ag
e
u
s
ed
in
th
e
b
ac
k
tr
an
s
latio
n
p
r
o
ce
s
s
,
th
er
eb
y
r
ed
u
cin
g
th
e
n
u
m
b
e
r
o
f
wo
r
d
s
f
ea
tu
r
es g
en
er
ated
.
4.
CO
NCLU
SI
O
N
T
h
is
s
tu
d
y
an
aly
ze
s
s
en
tim
en
t
in
I
n
d
o
n
esian
h
o
tel
r
ev
iews
u
s
in
g
clas
s
ic
m
ac
h
in
e
lear
n
in
g
alg
o
r
ith
m
s
:
m
u
ltin
o
m
ial
n
ai
v
e
b
ay
es,
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
e,
an
d
r
an
d
o
m
f
o
r
est
.
T
o
en
h
a
n
ce
m
o
d
el
p
er
f
o
r
m
an
ce
,
b
ac
k
tr
an
s
latio
n
is
ap
p
lied
to
g
en
e
r
ate
s
y
n
th
et
ic
d
ata,
lead
in
g
to
th
r
ee
r
esear
ch
s
ce
n
ar
io
s
b
ased
o
n
d
i
f
f
e
r
en
t
d
atasets
:
th
e
o
r
ig
in
al
d
ataset,
th
e
b
ac
k
-
tr
a
n
s
lated
d
ataset,
an
d
a
co
m
b
in
atio
n
o
f
b
o
th
.
E
x
p
er
im
en
tal
r
esu
lts
s
h
o
w
th
at
th
e
co
m
b
in
e
d
d
ataset
co
n
s
is
ten
tly
o
u
tp
er
f
o
r
m
s
th
e
o
th
e
r
two
s
ce
n
ar
io
s
,
with
th
e
r
an
d
o
m
f
o
r
est
alg
o
r
ith
m
a
ch
iev
in
g
t
h
e
b
est
p
e
r
f
o
r
m
an
c
e.
B
ac
k
tr
an
s
latio
n
s
ig
n
if
ica
n
tly
im
p
r
o
v
es
m
o
d
el
ev
alu
atio
n
b
y
en
r
ich
in
g
th
e
d
ataset
with
d
iv
er
s
e
p
atter
n
s
,
en
h
an
cin
g
m
o
d
el
r
o
b
u
s
tn
ess
,
an
d
im
p
r
o
v
in
g
g
en
er
aliza
tio
n
.
I
t
in
tr
o
d
u
ce
s
h
ig
h
er
lin
g
u
is
tic
co
m
p
lex
it
y
,
h
elp
in
g
th
e
m
o
d
el
ad
a
p
t
b
etter
.
Ad
d
itio
n
al
ly
,
v
ar
iatio
n
s
in
wo
r
d
f
ea
tu
r
es
am
o
n
g
th
e
s
ce
n
ar
io
s
-
2
,
1
7
6
in
th
e
o
r
ig
in
al
d
ataset,
1
,
6
9
6
in
th
e
b
ac
k
-
tr
an
s
lated
d
ataset,
an
d
2
4
9
7
in
th
e
c
o
m
b
in
ed
d
ataset
-
h
ig
h
lig
h
t
its
s
u
b
s
tan
tial
im
p
ac
t
o
n
d
ataset
s
tr
u
ctu
r
e
an
d
d
iv
e
r
s
ity
.
T
h
u
s
,
b
ac
k
tr
an
s
latio
n
is
p
r
o
v
en
to
en
h
an
ce
s
en
tim
en
t
an
aly
s
is
m
o
d
el
p
er
f
o
r
m
an
ce
wh
ile
s
ig
n
if
ican
tly
alter
in
g
d
ataset
ch
ar
ac
ter
is
tics
.
ACK
NO
WL
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DG
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NT
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Dep
ar
tm
en
t
o
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I
n
f
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r
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atics
an
d
th
e
Facu
lty
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f
Scien
ce
an
d
Ma
th
em
atics,
Un
iv
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s
itas
Dip
o
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o
r
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p
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is
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r
.
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.
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.
F8
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0
2
3
,
f
is
ca
l y
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r
2
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.
AUTHO
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Evaluation Warning : The document was created with Spire.PDF for Python.