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10
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2
,
May
201
8
,
p
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.
5
8
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is
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g
ar
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p
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u
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th
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th
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s
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ase
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p
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m
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t
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p
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d
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m
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t
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w
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d
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s
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t
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Mi
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s
cr
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t
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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4752
I
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J
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p
Sci,
Vo
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.
10
,
No
.
2
,
May
201
8
:
5
8
7
–
5
9
5
588
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r
d
s
ar
e
cr
ea
ted
co
n
f
u
s
io
n
s
.
T
h
e
m
aj
o
r
it
y
o
f
t
h
e
p
r
o
d
u
ct
r
ev
ie
w
s
i
n
cl
u
d
in
g
h
u
g
e
w
o
r
d
s
.
A
f
e
w
u
s
er
s
p
r
o
v
id
e
t
h
e
o
p
in
io
n
,
a
n
d
it
is
to
u
g
h
to
an
al
y
s
is
an
d
u
n
d
er
s
ta
n
d
s
t
h
e
m
ea
n
i
n
g
o
f
r
ev
ie
w
s
.
T
h
e
cu
s
to
m
er
r
ev
ie
w
s
en
te
n
ce
s
w
er
e
tag
g
ed
,
o
p
in
io
n
w
o
r
d
s
w
er
e
ex
tr
ac
ted
,
an
d
o
p
in
io
n
o
r
ien
tatio
n
s
w
er
e
r
ec
o
g
n
ized
u
s
in
g
t
h
e
s
e
m
an
tic
o
r
ien
tatio
n
o
f
o
p
in
io
n
w
o
r
d
s
.
Ho
w
e
v
er
P
o
s
itiv
e
a
n
d
n
eg
ati
v
e
o
p
in
io
n
w
a
s
id
en
ti
f
ied
,
b
u
t
th
e
r
an
k
i
n
g
is
n
o
t
ap
p
lied
to
p
r
o
d
u
cts.
T
h
e
r
an
k
in
g
is
v
er
y
u
s
e
f
u
l
f
o
r
u
s
er
s
o
r
m
er
ch
a
n
t
s
f
o
r
b
u
y
i
n
g
p
r
o
d
u
cts.
An
i
n
v
e
s
t
ig
atio
n
o
f
o
n
li
n
e
u
s
er
r
ev
ie
w
s
in
w
h
ich
f
ir
m
s
ca
n
n
o
t d
eter
m
i
n
e
w
h
a
t a
cc
u
r
atel
y
p
eo
p
le
lik
ed
an
d
d
id
n
o
t
lik
e
i
n
d
o
cu
m
e
n
t
-
lev
e
l
an
d
s
en
te
n
c
e
-
le
v
el
o
p
in
io
n
m
i
n
i
n
g
.
Hen
ce
,
n
o
w
ad
a
y
s
o
p
in
io
n
m
i
n
in
g
r
esear
ch
i
s
in
p
h
r
ase
-
l
ev
el
o
p
in
io
n
m
i
n
in
g
.
I
t
p
er
f
o
r
m
s
a
f
in
e
-
g
r
ain
ed
ex
a
m
i
n
atio
n
an
d
d
ir
ec
tl
y
lo
o
k
s
at
th
e
o
p
in
io
n
i
n
o
n
l
in
e
r
ev
ie
w
s
.
Ho
w
e
v
er
,
s
o
cial
m
ed
ia
s
ites
r
ep
o
r
tin
g
c
u
s
to
m
er
o
p
in
i
o
n
s
o
f
p
r
o
d
u
cts
i
n
v
ar
io
u
s
f
o
r
m
at
s
.
Mo
n
ito
r
in
g
t
h
e
p
r
o
d
u
ct
o
p
in
io
n
is
v
er
y
d
if
f
icu
lt to
f
in
d
cu
s
to
m
er
r
ev
i
e
w
s
.
Sh
o
iab
Ah
m
ed
et
al.
[
1
]
d
esig
n
ed
Se
n
ti
m
e
n
tal
A
n
a
l
y
s
i
s
a
n
d
Op
i
n
io
n
Min
in
g
b
ased
o
n
Sen
tiW
o
r
d
Net,
w
h
ic
h
p
r
o
d
u
ce
s
a
co
u
n
t
o
f
s
co
r
e
w
o
r
d
s
in
t
o
s
ev
en
clas
s
i
f
icatio
n
s
u
ti
lizi
n
g
m
ac
h
i
n
e
lear
n
i
n
g
alg
o
r
ith
m
s
.
T
h
e
w
eb
d
ata
i
s
g
ath
er
ed
u
t
ilizi
n
g
w
eb
cr
a
w
ler
ap
p
l
ied
w
it
h
v
ar
io
u
s
p
r
ep
r
o
ce
s
s
i
n
g
s
y
s
te
m
s
w
h
ic
h
co
n
s
is
t
ex
c
lu
s
io
n
o
f
s
to
p
-
w
o
r
d
s
f
r
o
m
o
n
li
n
e
r
e
v
ie
w
s
,
a
t
t
h
at
p
o
in
t
s
te
m
m
i
n
g
i
s
p
er
f
o
r
m
ed
u
tili
zi
n
g
P
o
r
ter
Ste
m
m
er
alg
o
r
it
h
m
,
an
d
th
e
n
r
ev
ie
w
s
ar
e
lab
eled
u
tili
zin
g
Stan
f
o
r
d
P
OS
tag
g
er
.
R
o
w
id
a
A
l
f
r
j
an
i
et
al.
[
2
]
in
tr
o
d
u
ce
d
a
n
e
w
tech
n
iq
u
e
f
o
r
s
e
m
an
tic
m
o
d
eli
n
g
o
f
t
h
e
d
o
m
ai
n
k
n
o
w
led
g
e
f
o
r
o
p
in
io
n
m
in
in
g
.
I
t
f
o
cu
s
e
d
o
n
m
o
d
eli
n
g
th
e
d
o
m
a
in
k
n
o
w
led
g
e
i
n
s
u
ch
w
a
y
th
a
t
it
ca
n
b
e
tr
an
s
lated
a
f
o
r
m
al
o
n
to
lo
g
y
,
w
h
ic
h
w
o
u
ld
th
en
b
e
ab
le
to
b
e
au
to
m
atica
l
l
y
i
m
p
r
o
v
ed
w
it
h
g
r
o
u
n
d
f
ac
ts
ac
q
u
ir
ed
f
r
o
m
p
u
b
lic
L
in
k
ed
Op
en
Data
ass
e
ts
.
Nitu
K
u
m
ar
i
et
al.
[
3
]
d
ev
elo
p
ed
th
e
v
ar
io
u
s
s
u
g
g
e
s
tio
n
s
to
s
en
ti
m
en
t
an
al
y
s
is
s
ig
n
i
f
ica
n
tl
y
m
ac
h
in
e
lear
n
in
g
s
e
n
ti
m
en
t
a
n
al
y
s
is
m
ain
l
y
m
ac
h
in
e
lear
n
in
g
.
E
-
co
m
m
er
ce
is
n
o
t
s
i
m
p
l
y
p
u
r
c
h
as
in
g
a
n
d
s
el
l
in
g
o
v
er
th
e
I
n
ter
n
et;
r
ath
er
it
en
h
an
ce
s
th
e
ef
f
ec
ti
v
e
n
es
s
o
f
d
if
f
er
en
t
r
iv
al
g
ia
n
ts
i
n
th
e
m
ar
k
et.
O
p
in
io
n
m
in
i
n
g
ca
n
co
n
tain
o
u
r
p
r
o
d
u
ct
at
in
ter
n
et
b
y
r
atin
g
,
s
tar
s
y
s
te
m
,
r
ev
ie
w
o
f
th
e
p
r
o
d
u
ct.
Dh
a
n
alak
s
h
m
i
et
al.
[
4
]
d
esig
n
e
d
Op
in
io
n
M
in
i
n
g
tec
h
n
iq
u
e
f
o
r
class
i
f
y
in
g
t
h
e
u
n
d
er
s
t
u
d
ies
'
f
ee
d
b
ac
k
o
b
tain
ed
d
u
r
i
n
g
m
o
d
u
le
a
s
s
es
s
m
en
t
s
u
r
v
e
y
t
h
at
is
co
n
d
u
cted
ea
ch
s
e
m
e
s
ter
to
k
n
o
w
th
e
f
ee
d
b
ac
k
o
f
u
n
d
er
s
tu
d
ie
s
co
n
ce
r
n
i
n
g
d
if
f
er
e
n
t
f
ea
t
u
r
es
o
f
teac
h
i
n
g
an
d
lear
n
i
n
g
.
Op
in
i
o
n
m
i
n
in
g
o
n
th
e
u
n
d
er
s
t
u
d
y
f
ee
d
b
ac
k
p
r
o
d
u
ce
d
th
r
o
u
g
h
s
u
r
v
e
y
s
u
til
izin
g
s
u
p
er
v
i
s
ed
m
ac
h
i
n
e
lear
n
i
n
g
alg
o
r
ith
m
s
i
m
p
le
m
e
n
ted
th
r
o
u
g
h
R
ap
id
Min
er
.
B
alah
ad
ia
et
al.
[
5
]
d
ev
elo
p
ed
a
teac
h
er
'
s
p
er
f
o
r
m
a
n
ce
ass
es
s
m
en
t
to
o
l
u
tili
zi
n
g
o
p
in
io
n
m
i
n
in
g
w
it
h
s
e
n
ti
m
en
t
i
n
v
est
ig
atio
n
.
I
t
g
a
v
e
th
e
s
en
ti
m
e
n
t
s
co
r
e
f
r
o
m
t
h
e
q
u
alitativ
e
d
ata
a
n
d
n
u
m
er
ical
r
esp
o
n
s
e
r
atin
g
f
r
o
m
t
h
e
q
u
an
t
itati
v
e
d
ata
o
f
teac
h
er
'
s
as
s
es
s
m
e
n
t.
So
lai
An
a
n
t
h
et
al.
[
6
]
d
esig
n
e
d
th
e
Sen
ten
ce
le
v
el
C
ateg
o
r
iz
er
is
u
tili
ze
d
f
o
r
ass
e
m
b
li
n
g
t
h
e
d
atasets
f
r
o
m
T
w
itter
.
Data
s
et
s
ar
ea
u
n
i
t
w
as
to
k
e
n
ized
b
y
T
OKE
NI
Z
E
R
.
T
h
e
to
k
en
s
ar
ea
u
n
it
w
as
h
an
d
led
b
y
k
n
o
w
led
g
e
P
R
E
P
R
OC
E
S
SIN
G.
Naïv
e
B
a
y
e
's
C
la
s
s
i
f
ier
w
a
s
clas
s
if
y
i
n
g
th
e
d
atase
ts
;
it
is
m
o
s
t
ef
f
icie
n
t
class
i
f
ier
f
o
r
Se
n
te
n
ce
-
L
e
v
el
C
ateg
o
r
izatio
n
.
Des
h
m
u
k
h
et
al.
[
7
]
d
ev
elo
p
ed
a
b
ip
ar
tite
g
r
ap
h
clu
s
ter
in
g
w
as
u
tili
ze
d
to
r
ed
u
ce
th
e
m
i
s
m
a
tch
b
et
w
ee
n
d
o
m
a
in
-
s
p
ec
if
ic
w
o
r
d
s
o
f
s
o
u
r
ce
d
o
m
ain
a
n
d
tar
g
et
d
o
m
a
in
.
A
d
o
m
ai
n
-
i
n
d
ep
en
d
en
t
w
o
r
d
w
a
s
u
ti
lized
to
clu
s
ter
d
o
m
ain
-
s
p
ec
if
ic
w
o
r
d
s
f
r
o
m
a
s
o
u
r
ce
an
d
tar
g
et
d
o
m
ain
s
.
A
tr
ain
ed
class
if
ier
f
o
r
th
e
tar
g
et
d
o
m
ai
n
,
cl
u
s
ter
i
n
g
w
as
u
til
iz
ed
as
it
r
ed
u
ce
d
th
e
g
ap
b
et
w
e
en
d
o
m
ai
n
-
s
p
ec
if
ic
w
o
r
d
s
o
f
v
ar
io
u
s
d
o
m
ai
n
s
.
Ma
r
r
ese
-
T
ay
lo
r
et
al.
[
8
]
i
n
tr
o
d
u
ce
d
a
r
ep
licab
ilit
y
is
s
u
e
s
in
s
y
n
tactic
ce
n
tr
ic
asp
ec
t
-
b
ased
o
p
in
io
n
m
in
i
n
g
.
I
t
f
o
cu
s
ed
s
y
n
tac
tic
tec
h
n
iq
u
es,
w
h
ic
h
te
n
d
to
d
e
m
o
n
s
tr
ate
a
lo
w
er
le
v
el
o
f
tr
an
s
p
ar
en
c
y
d
u
e
to
th
e
in
cr
ea
s
in
g
lev
el
o
f
m
o
d
el
co
m
p
le
x
it
y
a
n
d
th
e
lack
o
f
co
d
e
ac
ce
s
s
ib
ilit
y
.
L
i
et
al.
[
9
]
d
escr
ib
ed
p
o
s
s
ib
le
d
ir
ec
tio
n
s
f
o
r
d
ee
p
er
u
n
d
er
s
tan
d
in
g
,
h
elp
i
n
g
b
r
id
g
e
th
e
g
ap
b
et
w
ee
n
p
s
y
ch
o
lo
g
y
/co
g
n
i
tiv
e
s
cien
ce
a
n
d
co
m
p
u
tatio
n
al
m
eth
o
d
o
lo
g
ies.
I
t
f
o
cu
s
ed
o
n
o
p
in
io
n
h
o
ld
er
's
b
asic
n
ee
d
s
an
d
th
eir
r
es
u
lta
n
t
o
b
j
ec
tiv
es,
a
n
d
f
u
n
ctio
n
al
m
o
d
el
o
f
s
e
n
ti
m
e
n
t
g
a
v
e
t
h
e
b
as
is
to
clar
i
f
y
in
g
th
e
r
ea
s
o
n
a
s
en
ti
m
en
t
v
alen
ce
i
s
h
eld
.
C
h
an
d
r
e
et
a
l.
[
1
0
]
f
o
cu
s
ed
o
n
m
a
k
i
n
g
a
r
ev
er
s
ed
r
ev
ie
w
to
h
elp
s
u
p
er
v
i
s
ed
s
e
n
t
i
m
e
n
t
cla
s
s
i
f
icatio
n
w
h
ic
h
g
iv
e
s
u
s
k
n
o
w
led
g
e
in
s
e
n
ti
m
e
n
t
a
n
al
y
s
is
a
n
d
o
p
in
io
n
m
i
n
i
n
g
.
C
o
r
p
u
s
-
b
ase
d
p
s
eu
d
o
-
an
to
n
y
m
d
ictio
n
ar
y
i
m
p
lica
ted
a
co
m
p
r
eh
en
s
i
v
e,
p
r
ac
tical
ap
p
r
o
ac
h
w
h
e
n
co
m
p
elled
w
it
h
r
estricte
d
lex
ical
ass
ets
a
n
d
d
o
m
ai
n
k
n
o
w
led
g
e.
Ku
m
ar
et
al.
[
1
1
]
d
esig
n
ed
t
o
ex
tr
ac
t
t
h
e
m
a
x
i
m
u
m
an
d
ac
cu
r
ate
p
r
o
d
u
ct
f
ea
tu
r
e
s
f
r
o
m
a
h
u
g
e
n
u
m
b
er
o
f
o
n
lin
e
p
r
o
d
u
ct
r
ev
ie
w
s
.
C
o
m
p
r
eh
e
n
s
iv
e
f
ea
t
u
r
e
ex
tr
ac
tio
n
ap
p
r
o
ac
h
p
er
f
o
r
m
ed
s
u
p
er
io
r
to
an
y
t
h
i
n
g
t
h
e
s
p
ec
if
ic
w
a
y
f
o
r
ex
tr
ac
ti
n
g
t
h
e
p
r
o
d
u
ct
f
ea
tu
r
es
i
n
t
h
e
s
e
m
a
n
tic
e
n
v
ir
o
n
m
e
n
t.
J
ain
et
al.
[
1
2
]
d
ev
elo
p
ed
a
n
o
v
el
lo
ca
lized
o
p
in
io
n
m
in
i
n
g
m
o
d
el
b
as
ed
o
n
co
m
m
o
n
s
e
n
s
e
d
ata
ex
tr
ac
ted
f
r
o
m
th
e
C
o
n
ce
p
tNet
o
n
to
lo
g
y
.
T
h
e
tec
h
n
iq
u
e
p
er
m
itted
i
n
ter
p
r
etatio
n
a
n
d
u
s
a
g
e
o
f
i
n
f
o
r
m
atio
n
e
x
tr
ac
ted
f
r
o
m
w
eb
-
b
ased
s
o
cial
n
et
w
o
r
k
i
n
g
s
ites
"T
w
it
ter
"
to
id
en
tify
p
u
b
lic
o
p
in
io
n
s
.
I
t
is
u
til
ized
to
ca
lcu
late
s
en
ti
-
s
co
r
e
an
d
b
u
ild
a
m
ac
h
in
e
lear
n
i
n
g
m
o
d
el
th
at
clas
s
i
f
ies t
h
e
clie
n
t o
p
in
io
n
s
.
A
r
y
a
et
al.
[
1
3
]
co
n
ce
n
t
r
ated
o
n
a
r
ev
ie
w
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
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&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
To
I
mp
r
o
ve
F
ea
tu
r
e
E
xtra
ctio
n
a
n
d
Op
in
io
n
C
la
s
s
ifica
tio
n
...
(
P
a
la
iya
h
S
o
la
in
a
y
a
g
i
)
589
Op
in
io
n
m
i
n
in
g
an
d
s
e
n
ti
m
e
n
t
in
v
e
s
ti
g
atio
n
a
s
it
is
t
h
e
p
r
o
c
ess
o
f
ex
a
m
i
n
i
n
g
th
e
co
n
te
n
t
(
o
p
in
io
n
o
r
r
ev
ie
w
)
ab
o
u
t
a
s
u
b
j
ec
t
w
r
itte
n
in
a
n
atu
r
al
lan
g
u
a
g
e
an
d
ch
ar
ac
ter
i
ze
th
e
m
as
p
o
s
iti
v
e,
n
eg
at
iv
e
o
r
n
eu
tr
al
b
ased
o
n
th
e
h
u
m
a
n
'
s
s
e
n
ti
m
e
n
ts
r
eq
u
ir
ed
in
it.
Ma
n
d
al
et
al.
[
1
4
]
d
is
cu
s
s
ed
a
n
o
v
el
d
ictio
n
ar
y
-
b
a
s
ed
alg
o
r
it
h
m
t
h
at
u
tili
za
t
io
n
s
v
o
ca
b
u
lar
y
-
b
ased
ap
p
r
o
ac
h
f
o
r
co
n
cl
u
s
io
n
m
i
n
i
n
g
an
d
co
m
p
u
te
s
t
h
e
ass
e
s
s
m
en
t
e
x
tr
e
m
it
y
le
v
els.
L
e
x
ico
n
b
ased
ap
p
r
o
ac
h
o
f
c
o
n
ten
t
clas
s
if
icatio
n
f
o
r
o
p
in
i
o
n
m
in
i
n
g
w
a
s
u
tili
ze
d
a
d
ic
tio
n
ar
y
co
n
tai
n
i
ng
w
o
r
d
s
th
a
t
m
ea
n
f
ee
lin
g
.
Ma
n
e
et
al.
[
1
5
]
d
esig
n
ed
a
n
e
w
a
p
p
r
o
ac
h
f
o
r
Op
in
io
n
Min
i
n
g
o
f
Am
az
o
n
r
ev
ie
w
s
.
T
h
e
s
y
s
te
m
r
e
m
o
v
ed
f
ak
e
r
ev
ie
w
s
a
n
d
p
er
f
o
r
m
s
o
p
in
io
n
m
in
i
n
g
o
n
g
en
u
i
n
e
r
ev
ie
w
s
to
r
ate
th
e
ite
m
s
.
T
h
e
A
p
ac
h
e
Sp
ar
k
f
r
a
m
e
w
o
r
k
w
a
s
u
tili
ze
d
f
o
r
th
e
s
p
e
ed
o
f
p
r
o
c
ess
i
n
g
i
n
f
o
r
m
atio
n
e
x
p
an
d
ed
an
d
it
in
v
e
s
ti
g
atio
n
tak
es le
s
s
er
ti
m
e.
P
atel
et
al.
[
1
6
]
in
tr
o
d
u
ce
d
a
co
m
p
ar
ati
v
e
in
v
es
tig
at
io
n
o
f
v
ar
io
u
s
m
et
h
o
d
o
lo
g
ies
f
o
r
m
u
ltil
i
n
g
u
a
l
s
en
ti
m
e
n
t
a
n
al
y
s
is
.
T
h
ese
m
eth
o
d
o
lo
g
ies
ar
e
p
ar
titi
o
n
ed
in
to
t
w
o
s
ec
tio
n
s
:
o
n
e
u
tili
zi
n
g
cla
s
s
i
f
icat
io
n
o
f
co
n
ten
t
w
it
h
o
u
t
la
n
g
u
a
g
e
tr
a
n
s
lat
io
n
a
n
d
s
ec
o
n
d
u
tili
zi
n
g
th
e
tr
an
s
latio
n
o
f
test
i
n
g
i
n
f
o
r
m
atio
n
to
a
tar
g
et
lan
g
u
a
g
e
b
ef
o
r
e
class
i
f
icatio
n
.
W
u
et
al.
[
1
7
]
f
o
cu
s
ed
o
n
s
o
cial
ch
o
ice
th
eo
r
y
a
n
d
a
co
llectiv
e
d
ec
is
io
n
-
m
ak
in
g
m
o
d
el
,
it
is
i
n
te
g
r
ated
s
tr
ateg
y
to
h
elp
th
e
co
llecti
v
e
d
ec
is
io
n
-
m
a
k
i
n
g
p
r
o
ce
s
s
b
ased
o
n
th
e
an
al
y
s
is
o
f
p
eo
p
le'
s
s
o
cial
r
o
les
an
d
en
h
a
n
ce
d
t
h
e
ef
f
ec
ti
v
e
n
es
s
o
f
t
h
e
co
llecti
v
e
d
ec
is
io
n
-
m
a
k
in
g
p
r
o
ce
s
s
.
A
s
h
o
k
Ku
m
ar
et
al.
[
1
8
]
d
is
cu
s
s
ed
a
m
u
lti
-
a
s
p
ec
t
b
ased
o
p
in
i
o
n
m
i
n
i
n
g
f
r
a
m
e
w
o
r
k
is
p
r
o
p
o
s
ed
f
o
r
o
p
en
an
d
d
is
tan
ce
ed
u
ca
tio
n
to
ca
lc
u
lat
e
th
e
f
u
l
f
il
l
m
e
n
t
o
f
t
h
e
p
u
b
lic
.
T
h
e
f
r
a
m
e
w
o
r
k
r
eq
u
ir
ed
f
o
r
th
e
d
ata
g
at
h
er
i
n
g
p
r
o
ce
s
s
,
d
ata
p
r
ep
r
o
ce
s
s
in
g
,
f
ea
t
u
r
e
ex
tr
ac
tio
n
,
o
p
in
io
n
d
is
co
v
er
y
at
th
e
titl
e
le
v
el,
r
ep
o
r
t
lev
el,
s
en
ten
ce
lev
el,
a
n
d
asp
ec
t
le
v
el,
o
p
in
i
o
n
p
er
ce
p
tio
n
,
o
p
in
io
n
c
lass
i
f
icatio
n
.
C
la
v
el
e
t
al.
[
1
9
]
in
tr
o
d
u
ce
d
d
if
f
er
en
t
av
en
u
es
f
o
r
th
e
in
te
g
r
atio
n
o
f
s
en
ti
m
e
n
t
an
al
y
s
is
i
n
f
ac
e
-
to
-
f
ac
e
h
u
m
an
-
a
g
e
n
t
in
ter
ac
tio
n
s
.
Su
f
f
icie
n
t
p
s
y
ch
o
-
lin
g
u
i
s
tic
m
o
d
el
u
til
ized
to
d
e
s
cr
ib
e
h
u
m
a
n
-
a
g
e
n
t
ef
f
ec
ti
v
e
d
ialo
g
u
es.
Se
m
a
n
tic
r
u
les
a
n
d
m
ac
h
i
n
e
lear
n
i
n
g
tech
n
iq
u
es
in
te
g
r
ated
th
e
m
u
l
ti
-
m
o
d
al
id
ea
o
f
s
e
n
ti
m
e
n
t
r
el
ated
p
h
en
o
m
e
n
a,
t
h
e
v
ar
iab
ili
t
y
o
f
te
m
p
o
r
al
an
d
d
ec
is
io
n
f
r
a
m
e
s
,
d
i
f
f
er
in
g
le
v
els
o
f
co
m
p
le
x
it
y
r
eq
u
ir
ed
b
y
th
e
ti
m
i
n
g
co
n
s
tr
ain
t
o
f
t
h
e
i
n
ter
ac
tio
n
,
a
n
d
t
h
e
h
eter
o
g
e
n
eit
y
.
P
h
a
m
e
t
al.
[
2
0
]
d
ev
elo
p
ed
a
n
e
w
m
o
d
el
b
ased
n
eu
r
al
n
et
w
o
r
k
u
til
izin
g
b
o
th
k
n
o
w
n
asp
ec
t
r
atin
g
s
a
n
d
th
e
o
v
er
all
r
atin
g
s
o
f
r
ev
ie
w
s
to
d
ec
id
e
th
e
o
v
er
all
asp
ec
t
w
ei
g
h
ts
.
T
h
e
o
v
er
al
l
r
atin
g
o
f
a
r
e
v
ie
w
i
s
d
er
iv
ed
f
r
o
m
asp
ec
t
r
ati
n
g
s
.
P
r
ak
ash
et
al.
[
2
2
]
i
m
p
le
m
en
t
ed
an
ap
p
r
o
x
i
m
atio
n
a
u
to
m
ate
d
s
tr
u
ct
u
r
e,
ca
lled
Fil
ter
ed
W
all
(
FW
)
an
d
it
f
ilt
er
ed
d
is
p
o
s
ed
o
f
s
u
b
s
tan
ce
f
r
o
m
OSN
clie
n
t
s
u
b
s
tan
ce
s
.
T
h
e
g
o
al
i
s
to
u
til
ize
ef
f
icien
t
clas
s
i
f
icatio
n
p
r
o
ce
d
u
r
e
to
s
t
a
y
a
w
a
y
f
r
o
m
o
v
e
r
p
o
w
er
ed
b
y
u
n
s
u
cc
es
s
f
u
l
m
ess
a
g
es.
I
n
OSN
s
,
co
n
ten
t
f
ilter
i
n
g
ca
n
also
b
e
ab
u
s
ed
f
o
r
a
u
n
iq
u
e,
m
o
r
e
r
ea
ct
iv
e.
I
n
[
2
3
]
ex
p
lain
ed
in
te
g
r
atio
n
o
f
A
d
ap
tiv
e
W
ei
g
h
t
R
a
n
k
in
g
P
o
lic
y
(
A
W
R
P
)
w
i
th
in
telli
g
e
n
t
class
i
f
ier
s
(
NB
-
A
W
R
P
-
D
A
an
d
J
4
8
-
A
W
R
P
-
D
A
)
v
ia
d
y
n
a
m
ic
ag
i
n
g
f
ac
to
r
to
im
p
r
o
v
e
class
i
f
ier
s
p
o
w
er
o
f
p
r
ed
ictio
n
.
T
h
e
m
e
th
o
d
s
ar
e
u
s
ed
to
ch
o
o
s
e
th
e
b
est
s
u
b
s
et
o
f
f
ea
t
u
r
es.
I
n
[
2
4
]
in
tr
o
d
u
ce
d
a
n
e
w
f
r
a
m
e
w
o
r
k
ca
lled
Fu
zz
y
b
ased
co
n
te
x
t
u
al
r
ec
o
m
m
e
n
d
atio
n
s
y
s
te
m
f
o
r
class
i
f
icatio
n
o
f
c
u
s
to
m
er
r
e
v
i
e
w
s
.
I
t
ex
tr
ac
ts
t
h
e
in
f
o
r
m
atio
n
f
r
o
m
th
e
r
ev
ie
ws
b
ased
o
n
th
e
co
n
tex
t
g
i
v
e
n
b
y
u
s
er
s
.
I
n
[
2
5
]
s
tu
d
ied
to
id
en
tify
t
h
e
b
est
class
i
f
ier
s
f
o
r
class
i
m
b
ala
n
c
ed
h
ea
lth
d
ataset
s
th
r
o
u
g
h
a
co
s
t
-
b
ased
co
m
p
ar
is
o
n
o
f
class
i
f
ier
p
er
f
o
r
m
an
ce
.
T
h
e
u
n
eq
u
al
m
is
c
lass
if
icatio
n
co
s
ts
w
er
e
r
ep
r
esen
ted
in
a
co
s
t
m
atr
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it
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p
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ata
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et.
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e
tech
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iq
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e
i
s
p
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ef
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le
to
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tili
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p
r
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d
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w
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ep
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ts
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x
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ac
ted
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les
ar
e
ap
p
lied
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ce
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s
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if
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et
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er
th
e
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les
a
r
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ap
p
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p
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iate
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Me
an
ti
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e,
t
h
e
b
est
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les
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m
p
l
e
m
en
ted
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n
t
h
e
p
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-
p
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ce
s
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ed
d
ataset
to
ex
tr
ac
t
a
f
ea
tu
r
e
f
r
o
m
o
p
in
io
n
w
o
r
d
s
.
T
h
e
r
ev
ie
w
er
u
s
u
a
ll
y
m
ar
k
s
b
o
th
p
o
s
itiv
e
an
d
n
eg
at
iv
e
p
ar
ts
o
f
t
h
e
r
e
v
ie
w
e
d
p
r
o
d
u
ct,
d
esp
ite
th
e
f
ac
t
th
at
th
eir
g
en
er
al
o
p
in
i
o
n
o
n
t
h
e
p
r
o
d
u
ct
m
a
y
b
e
p
o
s
itiv
e
o
r
n
eg
ati
v
e.
E
f
f
icie
n
t
Featu
r
e
E
x
tr
ac
tio
n
a
n
d
C
las
s
if
icatio
n
(
E
FEC)
alg
o
r
it
h
m
i
s
u
tili
ze
d
to
p
r
ed
ict
th
e
n
u
m
b
er
o
f
p
o
s
iti
v
e
a
n
d
n
e
g
ati
v
e
o
p
in
io
n
i
n
r
e
v
ie
w
s
.
T
h
e
p
o
s
itiv
e
an
d
n
e
g
ati
v
e
lab
els
g
ath
er
ed
i
n
o
p
i
n
io
n
w
o
r
d
s
.
I
llu
s
tr
atio
n
s
o
f
r
ev
ie
w
co
m
m
e
n
t
s
ar
e
in
lo
n
g
s
e
n
ten
ce
s
.
T
h
e
s
y
s
te
m
ex
tr
ac
t
s
f
r
o
m
t
h
e
n
u
m
b
er
o
f
s
en
te
n
ce
s
li
k
e
ex
ce
lle
n
t,
g
o
o
d
,
f
o
r
p
o
s
itiv
e
an
d
p
o
o
r
,
b
a
d
f
o
r
n
eg
ati
v
e
o
p
in
io
n
s
m
i
n
i
n
g
.
T
h
e
s
u
b
s
eq
u
e
n
t
s
ta
g
e
is
to
id
e
n
ti
f
y
t
h
e
n
u
m
b
er
o
f
p
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itiv
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d
n
e
g
ati
v
e
o
p
in
i
o
n
s
o
f
ea
ch
ex
tr
ac
ted
p
ar
ts
.
T
h
e
p
ap
er
co
n
tr
ib
u
tio
n
s
ar
e
g
iv
e
n
b
elo
w
i
n
d
etails:
T
o
d
esig
n
an
ef
f
icie
n
t
p
r
o
d
u
ct
o
p
in
io
n
m
i
n
i
n
g
al
g
o
r
ith
m
f
o
r
f
in
d
i
n
g
m
o
r
e
ac
c
u
r
ate
p
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o
d
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ct
f
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t
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n
o
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io
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m
i
n
i
n
g
t
h
a
t h
av
e
b
ee
n
r
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v
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ed
o
n
b
y
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e
v
ie
w
er
s
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T
o
o
f
f
er
s
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b
u
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t
m
ec
h
a
n
is
m
f
o
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l
v
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p
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d
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tr
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b
le
m
f
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m
cu
s
to
m
er
r
ev
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w
s
u
s
i
n
g
E
f
f
icie
n
t Fea
t
u
r
e
E
x
tr
ac
tio
n
an
d
C
las
s
if
icatio
n
(
E
FEC)
alg
o
r
it
h
m
T
o
f
in
d
th
e
n
u
m
b
er
o
f
p
o
s
iti
v
e
an
d
n
eg
at
iv
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o
p
in
io
n
i
n
r
ev
ie
w
s
u
s
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g
o
p
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n
w
o
r
d
s
u
t
ilizin
g
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FEC
m
e
th
o
d
o
lo
g
y
.
T
o
av
o
id
in
g
f
a
k
e
r
atin
g
r
ev
ie
w
s
f
r
o
m
p
r
o
d
u
ct
r
ati
n
g
,
t
h
e
e
f
f
ec
tiv
e
tec
h
n
iq
u
e
is
ap
p
lied
to
id
en
tif
y
f
ak
e
r
e
v
ie
w
s
o
n
li
n
e
f
r
o
m
f
ilter
r
ev
ie
w
s
.
T
o
r
ed
u
ce
th
e
p
r
o
d
u
ct
r
etr
iev
a
l
ti
m
e,
i
m
p
r
o
v
e
p
r
o
d
u
ct
r
ev
ie
w
cla
s
s
i
f
ica
tio
n
ac
c
u
r
ac
y
a
n
d
s
u
cc
e
s
s
r
ate
co
m
p
ar
e
th
a
n
ex
is
ti
n
g
tec
h
n
iq
u
es.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l
.
10
,
No
.
2
,
May
201
8
:
5
8
7
–
5
9
5
590
T
h
e
r
est
o
f
p
ap
er
s
ar
e
o
r
g
an
i
ze
d
as:
Sec
tio
n
2
ex
p
r
ess
t
h
e
liter
atu
r
e
s
t
u
d
y
w
h
ich
is
v
er
y
clo
s
e
to
p
r
o
p
o
s
ed
m
et
h
o
d
o
lo
g
y
.
Se
ctio
n
3
e
x
p
lain
s
t
h
e
p
r
o
p
o
s
ed
m
eth
o
d
o
lo
g
y
s
y
s
te
m
ar
ch
itect
u
r
e
a
n
d
i
m
p
le
m
en
ta
tio
n
s
p
r
e
-
p
r
o
ce
s
s
i
n
g
s
tep
s
w
it
h
al
g
o
r
ith
m
p
s
eu
d
o
co
d
e.
Sectio
n
4
d
is
cu
s
s
es
p
r
o
g
r
a
m
m
in
g
s
et
u
p
,
p
er
f
o
r
m
a
n
ce
e
v
al
u
atio
n
m
atr
i
x
w
it
h
co
m
p
ar
ati
v
e
r
es
u
lt
a
n
al
y
s
i
s
.
Sectio
n
5
s
u
m
m
ar
izes
th
e
o
v
er
all
w
o
r
k
w
it
h
f
u
tu
r
e
o
u
tco
m
es
.
2.
P
RO
P
O
SE
D
M
E
T
H
O
D
T
h
e
s
eg
m
e
n
t
ex
p
lai
n
s
t
h
e
s
y
n
o
p
s
is
o
f
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
o
lo
g
y
,
s
y
s
te
m
ar
ch
itect
u
r
e,
an
d
alg
o
r
ith
m
ex
p
lan
atio
n
w
it
h
p
s
eu
d
o
co
d
e.
T
h
e
p
r
o
p
o
s
ed
tech
n
iq
u
e
tr
ies
to
s
o
lv
e
co
m
p
lex
i
t
y
f
o
r
im
p
le
m
e
n
tat
io
n
o
f
p
r
o
d
u
ct
f
ea
tu
r
e
e
x
tr
ac
tio
n
p
r
o
b
lem
in
cu
s
to
m
er
r
e
v
ie
w
s
o
f
o
p
in
io
n
m
i
n
i
n
g
.
T
h
e
f
ea
t
u
r
e
ex
tr
ac
tio
n
b
ased
o
p
in
io
n
m
i
n
i
n
g
m
eth
o
d
s
ar
e
p
r
ev
io
u
s
l
y
a
v
ailab
le.
Ho
w
ev
e
r
,
th
ese
m
et
h
o
d
s
ar
e
u
n
s
u
cc
ess
f
u
l
i
n
co
m
p
leti
n
g
th
e
cu
r
r
e
n
t
r
eq
u
ir
e
m
en
t
o
f
o
p
in
io
n
m
i
n
in
g
ap
p
licatio
n
s
.
T
h
e
h
er
e
e
x
p
er
i
m
e
n
tal
s
tu
d
y
r
eq
u
ir
es
s
t
u
d
y
i
n
g
to
b
r
in
g
t
h
e
ef
f
icie
n
t
m
e
th
o
d
to
co
m
p
lete
t
h
e
g
ap
b
et
w
ee
n
c
u
r
r
en
t
m
eth
o
d
s
a
n
d
o
p
in
io
n
m
i
n
in
g
ap
p
licatio
n
r
eq
u
ir
e
m
en
ts
.
2
.
1
Sy
s
t
e
m
Arc
hite
ct
ure
I
n
t
h
e
s
ec
tio
n
estab
li
s
h
ed
t
h
e
s
y
s
te
m
ar
c
h
itect
u
r
e
w
it
h
p
r
o
p
o
s
ed
tech
n
iq
u
es
an
d
a
lg
o
r
it
h
m
d
etail
s
.
T
h
e
s
y
s
te
m
d
etailed
i
m
p
le
m
e
n
tatio
n
p
r
o
ce
s
s
s
tep
b
y
s
tep
with
d
es
ig
n
ar
c
h
itect
u
r
e
i
n
Fi
g
u
r
e
1
.
T
h
e
o
b
j
ec
tiv
e
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
is
f
i
n
d
in
g
p
er
f
ec
t
p
r
o
d
u
ct
f
ea
tu
r
es
o
n
o
p
in
io
n
m
i
n
i
n
g
t
h
at
h
as
b
ee
n
r
ev
ie
w
ed
o
n
b
y
cu
s
to
m
er
s
.
T
h
ese
s
y
s
te
m
s
als
o
p
r
o
v
id
e
th
e
i
n
ter
ac
tio
n
b
et
w
ee
n
c
u
s
to
m
er
a
n
d
ad
m
i
n
i
s
tr
ato
r
is
to
ap
p
l
y
i
n
g
E
f
f
icien
t
Featu
r
e
E
x
tr
ac
tio
n
an
d
C
lass
i
f
icat
io
n
(
E
FEC)
m
e
th
o
d
f
o
r
s
o
lv
i
n
g
p
r
o
d
u
ct
f
ea
tu
r
e
ex
tr
ac
tio
n
p
r
o
b
lem
f
r
o
m
c
u
s
to
m
er
r
ev
ie
w
s
.
P
r
o
p
o
s
ed
E
f
f
icie
n
t
Feat
u
r
e
E
x
tr
ac
tio
n
a
n
d
C
la
s
s
i
f
ica
tio
n
(
E
FEC)
al
g
o
r
ith
m
w
o
r
k
s
to
clas
s
if
y
p
o
s
iti
v
e
a
n
d
n
eg
at
iv
e
o
p
in
io
n
s
in
r
e
v
ie
w
s
u
s
i
n
g
o
p
in
io
n
w
o
r
d
s
,
r
ed
u
ce
t
h
e
p
r
o
d
u
ct
r
etr
iev
a
l
ti
m
e,
an
d
i
m
p
r
o
v
e
p
r
o
d
u
ct
r
ev
ie
w
cla
s
s
i
f
icat
io
n
ac
cu
r
ac
y
an
d
s
u
cc
ess
r
ate
.
Fig
u
r
e
1
.
S
y
s
te
m
A
r
c
h
itect
u
r
e
Diag
r
a
m
2
.
2
I
m
ple
m
ent
a
t
io
n P
re
-
pro
ce
s
s
ing
Ste
p
s
2
.
2
.
1.
Aut
hentic
a
t
io
n
T
h
e
cu
s
to
m
er
h
as
to
p
r
o
v
id
e
th
e
en
tire
d
etails
ab
o
u
t
h
i
m
/h
er
to
g
en
er
ate
a
n
e
w
ac
co
u
n
t.
Af
ter
ef
f
ec
tiv
e
l
y
co
m
p
letio
n
o
f
ac
c
o
u
n
t
cr
ea
tio
n
s
i
m
p
l
y
t
h
e
c
u
s
t
o
m
er
ca
n
ab
le
to
p
er
f
o
r
m
t
h
e
o
n
li
n
e
s
h
o
p
p
in
g
f
ac
ilit
y
.
O
n
ce
th
e
cu
s
to
m
er
s
u
b
m
its
th
e
ir
d
etails,
i
n
f
o
r
m
at
io
n
i
s
r
ec
o
g
n
ized
,
an
d
t
h
e
c
u
s
to
m
er
ca
n
lo
g
i
n
w
it
h
th
eir
cu
s
to
m
er
id
an
d
p
ass
w
o
r
d
f
o
r
p
u
r
ch
asi
n
g
p
r
o
d
u
cts.
I
n
th
e
m
o
d
u
le,
it
v
er
if
ie
s
w
h
e
th
er
th
e
au
t
h
o
r
ized
cu
s
to
m
er
is
ac
ce
s
s
in
g
a
n
d
it d
o
es n
o
t a
llo
w
o
t
h
er
cu
s
to
m
er
s
to
ac
ce
s
s
.
2
.
2
.
2
.
P
urcha
s
ing
T
h
e
cu
s
to
m
er
ca
n
p
u
r
c
h
ase
p
r
o
d
u
cts
a
n
d
also
h
as
t
h
e
f
ac
ilit
y
to
o
f
f
er
r
ev
ie
w
s
w
i
th
s
u
g
g
e
s
tio
n
s
.
T
h
e
p
r
o
p
r
iet
o
r
ca
n
co
n
tai
n
p
r
o
d
u
c
t
f
ea
t
u
r
es
(
p
r
o
d
u
ct
n
a
m
e,
co
s
t,
v
alid
it
y
etc.
)
b
ased
o
n
t
h
e
class
i
f
icatio
n
li
k
es
m
o
b
ile
s
,
co
m
p
u
ter
s
,
lap
to
p
s
,
ca
r
s
,
etc.
,
an
d
m
a
in
ta
i
n
t
h
e
p
r
o
d
u
ct
d
etails.
T
h
e
cu
s
to
m
er
en
t
er
s
th
eir
cr
ed
it
ca
r
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etails;
t
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cr
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ca
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is
au
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d
.
I
f
t
h
e
ca
r
d
d
etails
ar
e
le
g
iti
m
ate,
t
h
e
cu
s
to
m
er
ca
n
p
u
r
ch
a
s
e
t
h
ei
r
p
r
o
d
u
cts.
T
h
e
cu
s
to
m
er
ca
n
ch
o
o
s
e
p
u
r
ch
asi
n
g
p
r
o
d
u
cts
d
is
p
lay
ed
i
n
th
e
f
ir
s
t
p
ag
e
o
r
in
v
esti
g
a
te
th
e
p
r
o
d
u
ct
u
tili
zi
n
g
k
e
y
w
o
r
d
o
r
b
ased
o
n
t
y
p
e.
T
h
e
cu
s
to
m
er
ca
n
b
u
y
th
e
p
r
o
d
u
ct
u
til
izin
g
cr
ed
it/d
eb
it
ca
r
d
.
T
o
p
u
r
ch
ase,
th
e
cu
s
to
m
er
r
eq
u
ir
es t
h
e
f
o
llo
w
in
g
d
etai
ls
l
ik
e
(
cr
ed
it c
ar
d
n
u
m
b
er
,
ca
r
d
h
o
ld
er
n
a
m
e,
d
ate
o
f
b
ir
th
,
cr
ed
it c
ar
d
p
r
o
v
id
er
)
.
I
f
th
e
cr
ed
it c
ar
d
is
leg
iti
m
ate,
th
e
c
u
s
t
o
m
er
i
s
p
er
m
itted
to
p
u
r
ch
a
s
e
th
e
p
r
o
d
u
ct.
2
.
2
.
3
.
F
ea
t
ure
E
x
t
ra
ct
io
n
T
o
E
x
tr
ac
tin
g
an
d
ex
a
m
i
n
e
o
p
in
io
n
s
,
f
r
o
m
p
r
o
d
u
ct
r
ev
ie
w
s
,
it
is
u
n
ac
ce
p
tab
le
to
ac
q
u
ir
e
th
e
co
m
m
o
n
o
p
in
io
n
ab
o
u
t
a
p
r
o
d
u
ct
s
i
m
p
l
y
.
I
n
t
h
e
m
aj
o
r
it
y
ca
s
es,
c
u
s
to
m
er
s
e
x
p
ec
t
to
d
is
co
v
er
o
p
in
io
n
s
ab
o
u
t
f
ea
t
u
r
e
o
f
a
p
r
o
d
u
ct
t
h
at
is
a
n
al
y
ze
d
.
R
ea
d
er
s
h
o
p
e
to
r
ea
liz
e
th
at
th
e
r
ev
ie
w
er
o
p
in
io
n
s
a
r
e
p
o
s
itiv
e
o
p
in
io
n
o
f
th
e
p
r
o
d
u
ct
an
d
a
n
e
g
ati
v
e
o
p
in
io
n
o
f
th
e
p
r
o
d
u
ct,
n
o
t
j
u
s
t
t
h
e
r
ev
ie
w
er
's
g
e
n
er
a
l
o
p
in
io
n
.
T
o
s
atis
f
y
i
n
g
th
at
ai
m
,
b
o
th
p
r
o
d
u
ct
f
ea
t
u
r
e
an
d
o
p
in
io
n
w
o
r
d
s
m
u
s
t
b
e
r
ec
o
g
n
ized
w
h
ic
h
ap
p
l
y
i
n
g
E
f
f
icie
n
t
Feat
u
r
e
E
x
tr
ac
tio
n
a
n
d
C
las
s
i
f
icatio
n
(
E
FEC)
Alg
o
r
it
h
m
.
F
ir
s
t,
h
o
w
e
v
er
,
it
is
i
m
p
o
r
tan
t
to
ex
tr
ac
t
an
d
b
u
ild
a
p
r
o
d
u
ct
f
ea
t
u
r
e
lis
t
an
d
an
o
p
in
io
n
wo
r
d
lex
ico
n
,
b
o
th
o
f
w
h
ich
c
an
g
i
v
e
p
r
ev
io
u
s
k
n
o
w
led
g
e
th
at
is
h
elp
f
u
l
f
o
r
o
p
in
io
n
m
i
n
i
n
g
.
2
.
2
.
4
.
Ra
t
ing
T
h
e
cu
s
to
m
er
is
p
er
m
itted
to
h
av
e
t
h
e
f
ac
i
lit
y
o
f
g
i
v
i
n
g
t
h
ei
r
r
ev
ie
w
i
n
th
e
f
o
r
m
o
f
r
atin
g
s
r
eg
ar
d
in
g
th
e
s
er
v
ice
p
r
o
v
id
er
.
C
u
s
to
m
e
r
r
at
in
g
s
ar
e
co
n
s
id
er
ed
as
o
n
e
o
f
th
e
ess
e
n
tial
f
ea
tu
r
es
as
t
h
e
y
as
s
u
m
e
a
v
ita
l
p
ar
t
in
t
h
e
p
u
r
ch
ase
o
f
th
e
p
r
o
d
u
ct.
W
r
o
n
g
/u
n
f
air
r
ati
n
g
s
m
a
y
p
r
o
m
p
t
to
s
er
io
u
s
i
s
s
u
es
i
n
n
u
m
er
o
u
s
f
r
a
m
e
w
o
r
k
s
.
So
in
t
h
e
m
o
d
u
le
,
w
e
co
llect
th
e
c
u
s
to
m
er
r
ev
ie
w
s
a
n
d
s
ec
u
r
e
th
e
m
.
2
.
2
.
5
.
Cla
s
s
if
ica
t
io
n
T
h
e
en
tire
c
u
s
to
m
er
p
r
o
f
ile
s
v
alu
e
a
n
d
r
ev
ie
w
s
ar
e
g
a
th
er
ed
.
C
u
s
to
m
er
p
r
o
f
iles
estee
m
ad
d
itio
n
all
y
in
co
r
p
o
r
ates
th
eir
ti
m
e,
d
u
r
ati
o
n
an
d
r
ev
ie
w
s
a
n
d
s
o
f
o
r
th
.
A
ll
t
h
e
cu
s
to
m
er
p
r
o
f
ile
s
in
clu
d
in
g
ev
a
lu
at
io
n
s
estee
m
s
ar
e
s
av
ed
s
a
f
el
y
.
E
v
e
r
y
o
n
e
o
f
t
h
e
in
f
o
r
m
atio
n
'
s
g
a
th
er
ed
is
u
ti
lized
as
a
d
ataset.
I
n
th
e
Data
s
et,
w
e
class
i
f
y
th
e
P
o
s
iti
v
e
an
d
Neg
a
tiv
e
o
p
in
io
n
s
b
y
a
m
o
u
n
t o
f
r
e
v
ie
w
s
p
r
o
v
id
ed
u
s
in
g
SVM
al
g
o
r
ith
m
.
2
.
2
.
6
.
P
o
s
it
iv
e
a
nd
Neg
a
t
iv
e
Rev
iew
s
I
n
t
h
e
m
o
d
u
le,
d
ev
e
lo
p
th
e
f
r
a
m
e
w
o
r
k
to
s
u
ch
t
h
at
c
u
s
to
m
er
o
f
t
h
e
p
o
r
tal
ca
n
h
av
e
th
e
r
ig
h
ts
to
g
iv
e
th
e
p
o
s
itiv
e
a
n
d
n
eg
ati
v
e
r
ev
ie
w
s
to
th
e
p
r
o
d
u
ct
w
h
ic
h
h
e/
s
h
e
p
u
r
ch
ases
,
s
u
ch
t
h
at
th
e
ad
m
in
is
tr
ato
r
ca
n
v
ie
w
th
e
lis
t o
f
r
ev
ie
w
s
.
2
.3
.
E
f
f
icient
F
ea
t
ure
E
x
t
ra
ct
io
n a
nd
Cla
s
s
if
ica
t
io
n (
E
F
E
C)
Alg
o
rit
h
m
T
o
d
is
co
v
er
in
g
t
h
e
v
ar
io
u
s
p
r
o
d
u
ct
f
ea
t
u
r
es,
E
FE
C
al
g
o
r
ith
m
i
s
u
tili
ze
d
to
en
h
a
n
ce
f
ea
t
u
r
e
ex
tr
ac
tio
n
a
n
d
clas
s
i
f
icatio
n
o
f
p
o
s
itiv
e
a
n
d
n
eg
at
iv
e
o
p
in
io
n
s
.
I
n
th
e
f
r
a
m
e
w
o
r
k
,
a
p
r
o
d
u
ct
s
et
i
s
a
s
e
t
o
f
w
o
r
d
s
o
r
a
p
h
r
ase
th
a
t
o
cc
u
r
s
to
g
eth
er
.
T
h
e
m
e
t
h
o
d
p
r
ed
icts
f
ea
t
u
r
es
t
h
at
ap
p
ea
r
o
n
a
lo
t
o
f
o
p
in
io
n
s
h
a
v
e
m
o
r
e
p
o
s
s
ib
il
it
y
to
b
e
r
elate
d
,
an
d
co
n
s
eq
u
e
n
tl
y
,
m
o
r
e
lik
e
l
y
to
b
e
a
r
ea
l
p
r
o
d
u
ct
f
ea
tu
r
e.
T
h
e
class
if
icat
io
n
alg
o
r
ith
m
is
u
tili
ze
d
to
f
i
n
d
th
e
a
m
o
u
n
t
o
f
p
o
s
iti
v
e,
n
e
g
ati
v
e
o
r
n
eu
tr
al
o
p
in
io
n
w
o
r
d
s
i
n
p
r
o
d
u
ct
r
ev
ie
w
s
u
tili
zi
n
g
o
p
in
io
n
w
o
r
d
s
.
Op
in
io
n
w
o
r
d
s
ar
e
e
n
co
d
ed
a
b
ig
s
it
u
atio
n
li
k
e
e
x
ce
lle
n
t,
g
o
o
d
h
av
e
a
p
o
s
iti
v
e
o
p
in
io
n
,
w
h
ile
o
p
in
io
n
w
o
r
d
s
th
at
s
tan
d
f
o
r
u
n
w
an
ted
s
tat
es
lik
e
p
o
o
r
,
b
ad
,
d
is
ap
p
o
in
tin
g
h
a
v
e
a
n
e
g
ati
v
e
o
p
in
io
n
.
T
h
e
w
o
r
d
in
c
lu
d
es
o
p
in
io
n
w
o
r
d
s
ar
e
tak
e
n
as
o
p
in
io
n
s
en
te
n
ce
.
I
ll
u
s
tr
atio
n
s
o
f
p
o
s
itiv
e
o
p
in
io
n
w
o
r
d
s
ar
e
ex
ce
llen
t
a
n
d
g
o
o
d
,
an
d
th
e
n
eg
ati
v
e
o
p
in
io
n
w
o
r
d
s
ar
e
lik
e
p
o
o
r
,
b
ad
an
d
s
o
o
n
.
T
o
r
ec
o
g
n
ize
th
e
a
m
o
u
n
t
o
f
p
o
s
it
iv
e,
n
e
g
ati
v
e
o
r
n
eu
tr
al
p
r
o
d
u
ct
o
p
in
io
n
s
o
f
e
v
er
y
ex
tr
ac
ted
p
r
o
d
u
ct
f
ea
t
u
r
e.
T
h
ese
o
p
in
io
n
w
o
r
d
s
ar
e
ex
tr
ac
ted
u
til
izin
g
E
f
f
icien
t Fea
t
u
r
e
E
x
tr
ac
tio
n
a
n
d
C
lass
if
ica
tio
n
(
E
FEC).
An
E
f
f
icie
n
t
Feat
u
r
e
E
x
tr
ac
ti
o
n
an
d
C
las
s
i
f
icatio
n
i
s
a
class
i
f
icatio
n
alg
o
r
ith
m
u
tili
ze
d
f
o
r
tex
t
class
i
f
icatio
n
.
T
h
e
p
r
o
d
u
ct
r
ev
ie
w
te
x
t
to
b
e
ca
teg
o
r
ized
is
ch
a
n
g
ed
i
n
to
w
o
r
d
.
E
FEC
b
u
ild
s
a
h
y
p
er
p
lan
e
u
tili
zi
n
g
t
h
ese
w
o
r
d
s
w
h
ic
h
d
i
v
id
es
d
ata
il
lu
s
tr
atio
n
s
o
f
o
n
e
class
f
r
o
m
a
n
o
t
h
er
.
T
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3
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1
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
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10
,
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2
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8
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ize
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o
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d
n
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ati
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in
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s
in
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p
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is
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lc
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lated
.
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o
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d
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c
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t
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e
x
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1
3
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5
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9
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Fin
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p
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it
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m
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n
all
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.
I
n
f
u
t
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t
h
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x
ten
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to
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S
[1
]
A
h
m
e
d
,
S
.
,
Da
n
ti
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A
.
,
“
A
n
o
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l
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M
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Ne
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In
T
re
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TA
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),
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In
tern
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e
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o
l.
1
,
p
p
.
1
-
5
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0
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5
.
[2
]
A
l
f
rjan
i,
R.
,
Os
m
a
n
,
T
.
,
Co
sm
a
,
G
.
,
“
A
n
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n
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m
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p
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”,
In
Co
m
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ter
M
o
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i
m
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S
im
),
2
0
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6
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S
i
m
-
A
M
S
S
1
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n
tern
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ti
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n
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e
,
2
0
1
6
,
p
p
.
2
6
7
-
2
7
2
.
[3
]
Ku
m
a
ri,
N.,
S
in
g
h
,
S
.
N
.
,
“
S
e
n
t
ime
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a
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Big
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),
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ter
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0
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p
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2
5
.
[4
]
Dh
a
n
a
lak
sh
m
i,
V
.
,
Bin
o
,
D.,
S
a
ra
v
a
n
a
n
,
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.
M
.
,
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in
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o
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ms
”
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Big
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a
ta
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n
d
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m
a
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Cit
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(ICBDSC),
2
0
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rd
M
EC
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
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c
e
,
2016
,
p
p
.
1
-
5.
[5
]
Ba
lah
a
d
ia,
F
.
F
.
,
F
e
r
n
a
n
d
o
,
M
.
C.
G
.
,
Ju
a
n
a
tas
,
I.
C.
,
“
T
e
a
c
h
e
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'
s
p
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rf
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v
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lu
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ti
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o
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w
it
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ti
m
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t
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”,
In
Reg
io
n
1
0
S
y
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siu
m (
T
ENS
Y
M
P)
,
p
p
.
95
-
98
,
2
0
1
6
.
[6
]
S
o
lai
A
n
a
n
t
h
,
S
.
S
.
,
C
h
a
n
d
u
,
P
.
M
.
S
.
S
.
,
S
c
h
o
lar,
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.
G
.
,
“
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Tw
it
ter
Kn
o
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g
e
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rp
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M
in
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”,
In
ter
n
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ti
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l
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o
u
rn
a
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E
n
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,
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1
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p
p
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4
0
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5
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0
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8
,
2
0
1
7
.
[7
]
De
sh
m
u
k
h
,
J.
S
.
,
T
rip
a
t
h
y
,
A
.
K.
.,
“
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n
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tro
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-
b
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d
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o
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a
in
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p
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u
ti
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g
a
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d
I
n
f
o
rm
a
ti
c
s
,
v
o
l.
14
,
p
p
.
55
-
64
,
2
0
1
7
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
To
I
mp
r
o
ve
F
ea
tu
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...
(
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a
la
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la
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595
[8
]
M
a
rre
se
-
T
a
y
lo
r,
E.,
M
a
tsu
o
,
Y.
,
“
Re
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a
ti
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e
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,
p
p
.
1
-
10
,
2
0
1
7
.
[9
]
L
i,
J.,
Ho
v
y
,
E.
,
“
Re
f
le
c
ti
o
n
s
o
n
se
n
ti
m
e
n
t/
o
p
in
i
o
n
a
n
a
ly
sis
”,
In
A
Pra
c
ti
c
a
l
Gu
id
e
t
o
S
e
n
ti
me
n
t
An
a
lys
is,
S
p
ri
n
g
e
r
In
ter
n
a
t
io
n
a
l
Pu
b
li
sh
i
n
g
,
p
p
.
41
-
59
,
2
0
1
7
.
[1
0
]
Ch
a
n
d
re
,
P
.
R.
,
Ra
j,
R.
R.
H.
,
“
Ne
w
Av
e
n
u
e
s
in
o
p
in
i
o
n
m
in
in
g
:
Co
n
si
d
e
rin
g
Du
a
l
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis
”,
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
S
c
ien
ti
fi
c
Res
e
a
rc
h
a
n
d
E
d
u
c
a
ti
o
n
,
v
o
l.
5
,
n
o
.
3
,
p
p
.
6
2
6
6
-
6
2
7
3
,
2
0
1
7
.
[1
1
]
Ku
m
a
r,
K.
R.
,
S
a
n
to
sh
,
D.
T
.
,
V
a
rd
h
a
n
,
B.
V
.
,
“
Ex
trac
ti
n
g
Op
in
i
o
n
T
a
rg
e
ts
f
ro
m
P
ro
d
u
c
t
Re
v
ie
w
s
u
sin
g
Co
m
p
re
h
e
n
siv
e
F
e
a
tu
re
Ex
trac
ti
o
n
M
o
d
e
l
i
n
Op
i
n
io
n
M
i
n
i
n
g
”,
In
d
ia
n
J
o
u
r
n
a
l
o
f
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
lo
g
y
,
v
o
l.
10
,
n
o
.
21
,
p
p
.
1
-
6
,
2
0
1
7
.
[1
2
]
Ja
in
,
A
.
,
Ja
in
,
M
.
,
“
L
o
c
a
ti
o
n
-
b
a
se
d
Tw
it
ter
Op
in
io
n
M
i
n
in
g
u
si
n
g
Co
m
m
o
n
-
S
e
n
se
In
f
o
r
m
a
ti
o
n
”,
Glo
b
a
l
J
o
u
r
n
a
l
o
f
En
ter
p
rise
In
f
o
rm
a
ti
o
n
S
y
ste
m,
v
o
l.
9
,
n
o
.
2
,
p
p
.
28
-
32
,
2
0
1
7
.
[1
3
]
A
r
y
a
,
P
.
,
m
it
Bh
a
g
a
t,
A
.
,
M
AN
IT
,
B.
,
“
De
e
p
S
u
rv
e
y
o
n
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis
a
n
d
Op
in
i
o
n
M
in
in
g
o
n
S
o
c
ia
l
Ne
tw
o
rk
in
g
S
it
e
s,
E
-
Co
m
m
e
rc
e
W
e
b
site
”,
.
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
E
n
g
i
n
e
e
rin
g
S
c
ien
c
e
,
v
o
l.
7
,
n
o
.
3
,
p
p
.
4
7
9
6
-
4
8
1
0
,
2
0
1
7
.
[1
4
]
M
a
n
d
a
l,
S
.
,
G
u
p
ta,
S
.
,
“
A
n
o
v
e
l
d
ictio
n
a
ry
-
b
a
se
d
c
la
ss
if
ica
ti
o
n
a
lg
o
rith
m
fo
r
o
p
in
i
o
n
min
in
g
”,
In
Re
se
a
rc
h
in
Co
m
p
u
tatio
n
a
l
In
tell
ig
e
n
c
e
a
n
d
Co
m
m
u
n
ica
ti
o
n
Ne
tw
o
rk
s
(ICR
CICN),
2
0
1
6
S
e
c
o
n
d
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
,
2
0
1
6
,
p
p
.
1
7
5
-
1
8
0
.
[1
5
]
M
a
n
e
,
S
.
B.
,
A
ss
a
r,
K.,
S
a
w
a
n
t,
P
.
,
S
h
i
n
d
e
,
M
.
,
“
P
ro
d
u
c
t
Ra
ti
n
g
u
sin
g
Op
i
n
i
o
n
M
in
in
g
”,
I
n
ter
n
a
t
i
o
n
a
l
Jo
u
rn
a
l
o
f
Co
mp
u
ter
E
n
g
in
e
e
rin
g
In
Res
e
a
rc
h
T
re
n
d
s
,
v
o
l.
4
,
n
o
.
5
,
p
p
.
1
6
1
-
1
6
8
,
2
0
1
7
.
[1
6
]
P
a
tel,
S
.
,
N
o
lan
,
B.
,
H
o
fm
a
n
n
,
M
.
,
Ow
e
n
d
e
,
P
.
,
P
a
tel,
K.
,
“
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis:
Co
m
p
a
ra
ti
v
e
A
n
a
l
y
sis
o
f
M
u
lt
il
in
g
u
a
l
S
e
n
ti
m
e
n
t
a
n
d
Op
i
n
io
n
Clas
sif
ica
ti
o
n
Tec
h
n
iq
u
e
s
”,
W
o
rld
Aca
d
e
my
o
f
S
c
ien
c
e
,
En
g
i
n
e
e
rin
g
a
n
d
T
e
c
h
n
o
l
o
g
y
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
C
o
mp
u
ter
,
El
e
c
trica
l,
Au
t
o
m
a
ti
o
n
,
C
o
n
tr
o
l
a
n
d
In
f
o
rm
a
ti
o
n
E
n
g
i
n
e
e
rin
g
,
v
o
l.
11
,
n
o
.
6
,
p
p
.
5
6
5
-
5
7
1
,
2
0
1
7
.
[1
7
]
W
u
,
B
.
,
Zh
o
u
,
X
.
,
Jin
,
Q.,
L
in
,
F
.
,
L
e
u
n
g
,
H.
,
“
A
n
a
l
y
z
in
g
so
c
ia
l
ro
les
b
a
se
d
o
n
a
h
iera
rc
h
ica
l
m
o
d
e
l
a
n
d
d
a
ta
m
in
in
g
f
o
r
c
o
ll
e
c
ti
v
e
d
e
c
isio
n
-
m
a
k
in
g
su
p
p
o
rt
”,
IEE
E
S
y
ste
ms
J
o
u
r
n
a
l
,
p
p
.
1
-
10
,
2
0
1
5
.
[1
8
]
Ku
m
a
r,
A
.
,
Ca
m
p
u
s,
C.
E.
G
.
,
M
u
ru
g
a
p
p
a
n
,
A
.
,
“
A
M
u
lt
i
-
As
p
e
c
t
Ba
se
d
Op
in
io
n
M
in
i
n
g
S
y
ste
m
f
o
r
Op
e
n
a
n
d
Dista
n
c
e
Ed
u
c
a
t
io
n
Us
in
g
On
li
n
e
Re
v
ie
ws
”,
T
h
e
On
li
n
e
J
o
u
rn
a
l
o
f
Dista
n
c
e
Ed
u
c
a
ti
o
n
a
n
d
e
-
L
e
a
rn
in
g
,
v
o
l.
5
,
no.
1
,
p
p
.
1
-
11
,
2
0
1
7
.
[1
9
]
Clav
e
l,
C.
,
Ca
ll
e
jas
,
Z.
,
“
S
e
n
ti
m
e
n
t
a
n
a
ly
sis:
f
ro
m
o
p
in
io
n
m
in
in
g
to
h
u
m
a
n
-
a
g
e
n
t
in
tera
c
ti
o
n
”,
IEE
E
T
ra
n
sa
c
t
io
n
s
o
n
a
ff
e
c
ti
v
e
c
o
mp
u
ti
n
g
,
v
o
l
.
7
,
n
o
.
1
,
p
p
.
74
-
93
,
2
0
1
6
.
[2
0
]
P
h
a
m
,
D.
H.,
L
e
,
A
.
C.
,
“
A
Ne
u
ra
l
Ne
tw
o
rk
b
a
se
d
M
o
d
e
l
f
o
r
De
ter
m
in
in
g
Ov
e
r
a
ll
A
sp
e
c
t
W
e
ig
h
ts
in
Op
in
i
o
n
M
in
i
n
g
a
n
d
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis
”,
In
d
i
a
n
J
o
u
rn
a
l
o
f
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
9
,
n
o
.
18
,
p
p
.
1
-
6
,
2
0
1
6
.
[2
1
]
P
u
jari,
C
.
,
S
h
e
tt
y
,
N.
P
.
,
“
Co
m
p
a
riso
n
o
f
Clas
sif
ica
ti
o
n
T
e
c
h
n
iq
u
e
s
f
o
r
F
e
a
tu
re
-
Orie
n
ted
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis
o
f
P
r
o
d
u
c
t
Re
v
iew
Da
t
a
”,
In
Da
ta
E
n
g
i
n
e
e
rin
g
a
n
d
I
n
telli
g
e
n
t
Co
m
p
u
ti
n
g
.
S
p
rin
g
e
r,
S
i
n
g
a
p
o
re
,
p
p
.
1
4
9
-
1
5
8
,
2
0
1
8
.
[2
2
]
P
ra
k
a
sh
,
G
.
,
S
a
u
ra
v
,
N.,
K
e
th
u
,
V
.
R.
,
“
A
n
Eff
e
c
ti
v
e
Un
d
e
sire
d
Co
n
ten
t
F
il
tratio
n
a
n
d
P
re
d
ictio
n
s
F
ra
m
e
w
o
rk
in
On
li
n
e
S
o
c
ial
Ne
tw
o
rk
”,
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
Ad
v
a
n
c
e
s
i
n
S
i
g
n
a
l
a
n
d
Im
a
g
e
S
c
ien
c
e
s,
v
o
l.
2
,
n
o
.
2
,
p
p
.
1
-
8
,
2
0
1
6
.
[2
3
]
Ola
n
re
wa
ju
,
R.
F
.
,
A
z
m
a
n
,
A
.
W
.
,
“
In
telli
g
e
n
t
C
o
o
p
e
ra
ti
v
e
A
d
a
p
ti
v
e
W
e
ig
h
t
Ra
n
k
in
g
P
o
li
c
y
v
ia
d
y
n
a
m
ic
a
g
in
g
b
a
se
d
o
n
NB
a
n
d
J4
8
c
las
sif
iers
”,
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
In
f
o
rm
a
ti
c
s
(
IJ
EE
I)
,
v
o
l.
5
,
n
o
.
4
,
p
p
.
3
5
7
-
3
6
5
,
2
0
1
7
.
[2
4
]
S
u
lt
h
a
n
a
,
R.
,
Ra
m
a
s
a
m
y
,
S
.
,
“
Co
n
tex
t
Ba
se
d
Clas
sif
ica
ti
o
n
o
f
Re
v
ie
w
s
Us
in
g
A
ss
o
c
iatio
n
Ru
le
M
in
i
n
g
,
F
u
z
z
y
L
o
g
ics
a
n
d
On
to
l
o
g
y
”,
Bu
ll
e
ti
n
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
In
fo
r
ma
ti
c
s
(
BE
EI)
,
v
o
l.
6
,
n
o
.
3
,
p
p
.
250
-
2
5
5
,
2
0
1
7
.
[2
5
]
Ra
o
,
R.
R
.
,
M
a
k
k
it
h
a
y
a
,
K.
,
“
L
e
a
rn
in
g
f
ro
m
a
Clas
s
I
m
b
a
lan
c
e
d
P
u
b
l
ic
He
a
lt
h
Da
tas
e
t:
a
Co
st
-
b
a
se
d
Co
m
p
a
riso
n
o
f
Clas
si
f
ier
P
e
rf
o
r
m
a
n
c
e
”
,
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
En
g
i
n
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
7
,
n
o
.
4
,
p
p
.
2
2
1
5
-
2
2
2
2
,
2
0
1
7
.
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