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etc.
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s
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v
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o
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t
h
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y
h
a
v
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th
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w
n
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ex
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m
p
le
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‗
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ca
r
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f
o
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th
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w
r
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g
p
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‘
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r
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as
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s
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b
u
t
th
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w
h
o
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s
en
ten
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e
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n
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v
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m
e
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t
ca
u
s
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g
a
m
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s
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s
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f
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r
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r
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s
id
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t
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a
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n
clu
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e
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k
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y
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d
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lik
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‗
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w
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ld
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ev
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b
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t
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b
o
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k
‘
‘
w
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icate
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ab
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th
e
b
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k
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ca
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'
t
b
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class
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f
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.
Or
h
as
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m
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lead
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n
g
co
m
p
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lik
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‗
t
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o
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d
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s
a
h
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in
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e
h
ea
d
‘
‘
.
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r
ie
f
l
y
,
t
h
i
s
ap
p
r
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ac
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is
k
n
o
w
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to
b
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th
e
m
o
s
t n
aï
v
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o
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e
an
d
th
e
m
o
s
t p
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p
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lar
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its
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s
e
o
f
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m
p
le
m
en
tat
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an
d
ac
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s
s
ib
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.
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x
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af
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s
a
litt
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d
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m
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ap
p
r
o
ac
h
an
d
t
h
e
m
o
s
t
u
s
ed
o
n
e
to
o
to
c
r
ea
te
lex
ico
n
d
atasets
is
u
s
in
g
t
h
e
s
tati
s
tical
m
et
h
o
d
s
,
s
u
c
h
as
t
h
e
Naï
v
e
B
ay
e
s
alg
o
r
it
h
m
,
K
-
Nea
r
es
t
Neig
h
b
o
r
o
r
Su
p
p
o
r
t
v
ec
to
r
m
ac
h
in
e
s
(
SVM)
.
I
t
m
ai
n
l
y
d
ep
en
d
s
o
n
tr
ain
in
g
a
m
ac
h
in
e
lear
n
in
g
alg
o
r
it
h
m
with
f
ea
t
u
r
es
li
k
e
w
o
r
d
s
co
-
o
cc
u
r
r
en
ce
f
r
eq
u
e
n
cie
s
,
S
t
y
li
s
tic
f
ea
t
u
r
es,
etc.
,
co
llecte
d
f
r
o
m
an
n
o
tated
d
ata
an
d
t
h
e
n
test
th
e
ac
c
u
r
ac
y
o
f
t
h
e
alg
o
r
ith
m
u
s
ed
o
n
a
test
s
a
m
p
le
f
r
o
m
t
h
e
s
a
m
e
d
ata.
I
t
is
lan
g
u
ag
e
in
d
ep
en
d
e
n
t
t
h
u
s
av
o
id
s
a
m
b
i
g
u
it
y
is
s
u
e
s
as
s
o
ciate
d
w
it
h
A
r
ab
ic
[
3
]
.
Yet,
th
ese
m
et
h
o
d
s
m
ak
e
class
i
f
icat
io
n
er
r
o
r
s
w
h
en
test
ed
o
n
s
m
a
ller
te
x
t
u
n
i
ts
s
u
c
h
as
clau
s
es
a
s
co
m
p
ar
ed
w
i
th
d
eter
m
i
n
i
n
g
t
h
e
p
o
lar
ity
o
n
t
h
e
d
o
cu
m
e
n
t
-
l
ev
el
[
4
]
.
Giv
es
a
q
u
ick
o
v
er
v
ie
w
o
f
E
n
g
li
s
h
S
A
r
esear
ch
e
f
f
o
r
ts
f
r
o
m
2
0
0
2
u
p
to
2
0
1
4
th
at
ar
e
m
o
s
t
l
y
m
ad
e
u
s
i
n
g
t
h
e
s
tatis
tical
m
et
h
o
d
s
.
T
h
e
au
t
h
o
r
s
also
p
r
esen
ted
s
o
m
e
o
f
t
h
e
a
v
ailab
le
to
o
ls
a
n
d
d
ataset
s
.
F
u
r
t
h
er
m
o
r
e,
[
5
]
d
is
cu
s
s
ed
s
o
m
e
o
f
t
h
e
o
p
en
is
s
u
e
s
i
n
th
e
ar
ea
o
f
S
A
i
n
cl
u
d
in
g
th
at
t
h
e
r
e
is
m
o
r
e
f
o
cu
s
o
n
clas
s
i
n
g
th
e
te
x
t
i
n
to
p
o
s
iti
v
e
a
n
d
n
eg
ativ
e
o
n
l
y
w
i
th
n
o
d
ee
p
er
d
iv
in
g
i
n
th
e
e
m
o
tio
n
s
.
C
o
n
ce
p
t
-
lev
el
s
e
n
ti
m
e
n
t
an
al
y
s
is
w
as
f
ir
s
t
in
tr
o
d
u
ce
d
b
y
E
r
ic
C
a
m
b
ir
a
to
class
if
y
te
x
t
b
ased
o
n
th
eir
s
e
m
a
n
tic
s
r
ath
er
t
h
an
th
eir
s
y
n
tactic
th
r
o
u
g
h
t
h
e
u
s
e
o
f
s
e
m
a
n
tic
n
et
w
o
r
k
s
li
k
e
C
o
n
ce
p
tNe
t
[
6
]
w
h
ic
h
co
n
s
is
t
s
o
f
n
o
d
es
r
ep
r
ese
n
ti
n
g
co
n
ce
p
ts
a
n
d
co
n
n
ec
ted
w
it
h
ed
g
e
s
lab
eled
w
it
h
co
m
m
o
n
s
en
s
e
'tak
en
f
o
r
g
r
an
ted
'
in
f
o
r
m
atio
n
p
r
o
v
id
ed
b
y
v
o
l
u
n
teer
s
o
n
th
e
in
ter
n
et.
C
a
m
b
ir
a
et
a
l
.
[
7
]
d
ev
elo
p
e
d
Se
n
ticNet,
a
s
e
m
an
t
ic
r
eso
u
r
ce
th
at
u
s
es
co
m
m
o
n
s
en
s
e
r
ea
s
o
n
i
n
g
tech
n
iq
u
e
s
alo
n
g
w
it
h
an
e
m
o
tio
n
ca
te
g
o
r
izatio
n
m
o
d
el
a
n
d
a
n
o
n
to
lo
g
y
f
o
r
d
escr
ib
in
g
h
u
m
an
e
m
o
t
io
n
s
to
i
n
f
er
th
e
p
o
l
ar
it
y
o
f
d
i
f
f
er
en
t
co
m
m
o
n
s
en
s
e
co
n
ce
p
t
s
li
k
e
‗
b
ea
u
ti
f
u
l
d
a
y
‘
o
r
‗
f
ee
l
g
u
ilt
y
‘
.
E
ac
h
co
n
ce
p
t
is
a
s
s
i
g
n
ed
with
o
n
e
f
lo
at
p
o
lar
it
y
v
al
u
e
∈
[
-
1
,
1
]
,
f
o
llo
w
ed
b
y
Sen
ticNe
t2
[
8
]
w
h
er
e
m
o
r
e
co
n
ce
p
ts
ar
e
ad
d
ed
allo
w
i
n
g
a
d
ee
p
er
an
d
m
o
r
e
m
u
lti
-
f
ac
e
ted
an
al
y
s
is
o
f
te
x
t
w
h
ile
p
r
o
v
id
in
g
a
f
o
u
r
-
d
i
m
e
n
s
io
n
al
v
ec
to
r
(
s
en
tic
v
ec
to
r
)
to
ea
ch
co
n
ce
p
t
c
o
m
b
i
n
ed
o
f
P
leasan
tn
es
s
,
A
tte
n
tio
n
,
Se
n
s
iti
v
it
y
,
an
d
A
p
titu
d
e
an
d
p
r
esen
ted
as
a
f
lo
at
v
alu
e
∈
[
-
1
,
1
]
alo
n
g
w
it
h
its
to
p
-
ten
a
f
f
ec
tiv
e
l
y
r
elate
d
co
n
ce
p
ts
.
T
h
en
Sen
tic
Net3
[
9
]
,
w
h
ich
co
n
tai
n
s
b
o
t
h
co
m
m
o
n
a
n
d
co
m
m
o
n
-
s
en
s
e
k
n
o
w
led
g
e
i
n
o
r
d
er
to
b
o
o
s
t
s
en
ti
m
e
n
t
a
n
al
y
s
is
task
s
s
u
c
h
as
f
ea
t
u
r
e
s
p
o
ttin
g
an
d
p
o
lar
it
y
d
etec
tio
n
,
r
esp
ec
tiv
el
y
.
T
h
e
n
Sen
ticNe
t4
[
1
0
]
,
w
h
er
e
b
o
th
v
er
b
an
d
n
o
u
n
co
n
ce
p
ts
ar
e
li
n
k
ed
to
p
r
i
m
iti
v
es
s
o
th
at,
f
o
r
ex
a
m
p
le,
co
n
ce
p
ts
s
u
c
h
as
attai
n
-
k
n
o
w
led
g
e
o
r
ac
q
u
ir
e
k
n
o
w
-
h
o
w
o
r
ac
q
u
ir
e
-
k
n
o
w
led
g
e
ar
e
g
e
n
er
alize
d
as
g
et
in
f
o
r
m
atio
n
.
An
ad
d
itio
n
th
a
t
allo
w
s
p
r
o
ce
s
s
i
n
g
d
i
f
f
er
e
n
t
f
o
r
m
s
o
f
a
co
n
ce
p
t
th
at
o
th
er
w
i
s
e
r
ai
s
es
a
n
o
t
f
o
u
n
d
er
r
o
r
.
T
h
e
id
ea
o
f
u
s
i
n
g
a
g
en
er
ati
v
e
w
o
r
d
w
a
s
u
s
ed
i
n
o
t
h
er
m
eth
o
d
s
to
o
.
F
o
r
ex
a
m
p
le,
[
1
1
]
u
s
ed
s
y
n
o
n
y
m
s
lis
ts
f
o
r
p
o
s
iti
v
e
an
d
n
eg
a
tiv
e
w
o
r
d
s
an
d
m
ap
p
ed
th
e
lis
t to
o
n
e
w
o
r
d
th
at
alr
ea
d
y
h
as a
p
o
lar
it
y
v
alu
e.
T
o
th
i
s
en
d
,
w
e
te
s
ted
Sen
ticN
et4
f
o
r
th
e
task
o
f
p
o
lar
it
y
d
etec
tio
n
o
n
a
m
u
lti
-
d
o
m
ai
n
A
r
a
b
ic
d
ataset
at
th
e
s
en
ten
ce
-
le
v
el
an
d
s
h
o
w
ed
r
esu
lts
o
u
tp
er
f
o
r
m
i
n
g
o
t
h
er
A
r
ab
ic
s
e
n
ti
m
en
t
an
al
y
s
i
s
w
o
r
k
s
t
h
at
m
ain
l
y
r
el
y
o
n
o
t
h
er
ap
p
r
o
ac
h
es.
T
h
e
r
est
o
f
t
h
i
s
p
ap
er
is
o
r
g
an
iz
ed
as
f
o
llo
w
s
:
t
h
e
n
e
x
t
s
ec
tio
n
r
ev
ie
w
s
r
esear
c
h
ef
f
o
r
t
s
in
th
e
ar
ea
o
f
A
r
ab
ic
s
en
ti
m
en
t
an
al
y
s
i
s
;
f
o
llo
w
ed
b
y
a
s
ec
tio
n
p
r
o
p
o
s
es
o
u
r
f
r
a
m
e
w
o
r
k
to
d
etec
t
th
e
p
o
lar
ity
u
s
in
g
Se
n
ticNet;
af
t
er
w
h
ic
h
a
s
ec
tio
n
d
is
c
u
s
s
es
th
e
r
esu
lts
o
b
tai
n
ed
;
f
in
a
ll
y
s
o
m
e
c
o
n
cl
u
d
in
g
r
e
m
ar
k
s
a
n
d
f
u
t
u
r
e
w
o
r
k
r
ec
o
m
m
en
d
atio
n
s
ar
e
p
r
esen
ted
.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
T
h
is
s
ec
tio
n
r
ev
ie
w
s
t
h
e
co
n
tr
ib
u
tio
n
s
to
t
h
e
A
r
ab
ic
s
e
n
ti
m
e
n
t
a
n
al
y
s
i
s
r
esear
ch
f
ie
ld
.
A
r
a
b
ic,
w
h
ic
h
is
th
e
f
o
r
m
a
l
lan
g
u
a
g
e
o
f
o
v
er
th
an
2
0
co
u
n
tr
ies
ar
o
u
n
d
th
e
w
o
r
ld
an
d
s
p
o
k
en
b
y
3
0
0
m
ill
io
n
n
ati
v
e
s
p
ea
k
er
s
,
is
co
n
s
id
er
ed
u
n
d
er
-
r
esear
c
h
e
d
co
m
p
ar
ed
to
E
n
g
lis
h
in
t
h
e
f
ie
ld
o
f
s
e
n
ti
m
en
t
a
n
al
y
s
i
s
.
See
Fig
u
r
e
1
th
at
r
ep
r
esen
ts
t
h
e
n
u
m
b
er
o
f
A
r
a
b
ic/E
n
g
l
is
h
p
u
b
lica
tio
n
s
p
er
y
ea
r
as
p
r
ese
n
ted
i
n
[
12]
,
[
1
3
]
an
d
d
etailed
i
n
[
1
4
]
,
[
1
5
]
r
esp
ec
tiv
el
y
.
An
d
A
r
ab
i
c
is
al
s
o
u
n
d
er
-
r
e
s
o
u
r
ce
d
w
it
h
r
esp
ec
t
to
th
e
a
m
o
u
n
t
o
f
d
ata
o
n
t
h
e
i
n
ter
n
et
k
n
o
w
i
n
g
t
h
at
A
r
ab
ic
h
as
s
co
r
ed
4
th
o
n
t
h
e
n
u
m
b
er
o
f
w
eb
u
s
er
s
a
f
ter
E
n
g
lis
h
,
C
h
i
n
e
s
e
a
n
d
Sp
an
i
s
h
r
an
k
i
n
g
th
e
h
ig
h
es
t
g
r
o
w
t
h
r
ate
in
ter
m
s
o
f
u
s
er
s
w
it
h
1
8
5
m
illi
o
n
o
f
u
s
er
s
in
J
u
n
e
2
0
1
7
ac
c
o
r
d
in
g
to
in
ter
n
e
t
w
eb
s
tat
s
'
s
w
eb
s
ite
:
h
tt
p
://
www
.
in
ter
n
et
w
o
r
ld
s
tat
s
.
co
m
/s
tats
7
.
h
t
m
.
Desp
ite
th
at
r
ec
en
t
p
r
o
g
r
ess
,
r
esear
ch
er
s
f
o
cu
s
ed
o
n
u
s
in
g
th
e
s
tati
s
tical
m
et
h
o
d
s
w
it
h
a
s
p
ec
ial
f
o
cu
s
o
n
s
u
p
er
v
i
s
ed
m
ac
h
i
n
e
lear
n
in
g
class
i
f
ier
s
.
T
h
ey
s
h
ar
e
th
e
s
a
m
e
m
eth
o
d
o
lo
g
y
p
r
esen
ted
in
Fi
g
u
r
e
2
w
h
ile
u
s
in
g
d
i
f
f
er
e
n
t
p
r
e
-
p
r
o
ce
s
s
i
n
g
a
n
d
s
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1
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I
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I
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g
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Vo
l.
8
,
No
.
5
,
Octo
b
er
2
0
1
8
:
401
5
–
40
22
4020
th
at
h
a
s
m
u
lt
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le
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te
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s
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tch
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ts
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ar
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atize
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f
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i
n
Sen
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ate
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f
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w
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in
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N
L
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icatio
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iv
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e
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n
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ased
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m
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t
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est
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co
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m
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ar
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2
t
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Fig
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s
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ar
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.
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r
t
h
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s
ed
a
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s
a
m
p
l
e
f
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m
t
h
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d
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(
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o
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o
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6
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ted
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1
in
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ico
n
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ith
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2
%.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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p
E
n
g
I
SS
N:
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0
8
8
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A
F
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a
mewo
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ic
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Leve
l S
en
timen
t A
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lysi
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ticN
et
(
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d
G.
Ha
s
s
a
n
)
4021
Fig
u
r
e
5
.
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o
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p
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ataset
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u
r
e
6
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w
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f
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le
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ico
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ataset
5.
CO
NCLU
SI
O
N
AND
F
U
T
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RE
WO
RK
A
n
o
v
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f
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ith
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%.
it
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o
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m
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ter
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te
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t
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r
an
n
o
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ata.
I
n
th
e
f
u
t
u
r
e,
w
e
p
lan
o
n
Ha
n
d
li
n
g
P
o
lar
it
y
i
n
v
e
r
s
io
n
ter
m
s
s
u
c
h
as
n
eg
at
io
n
s
a
n
d
also
d
ef
i
n
i
n
g
t
h
e
s
co
p
e
o
f
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ch
n
eg
a
tin
g
ter
m
alo
n
g
t
h
e
s
e
n
te
n
ce
.
RE
F
E
R
E
NC
E
S
[1
]
E.
Ca
m
b
ira,
e
t
a
l
.,
―
T
h
e
CL
S
A
M
o
d
e
l:
A
No
v
e
l
F
ra
m
e
w
o
rk
f
o
r
Co
n
c
e
p
t
-
L
e
v
e
l
S
e
n
ti
m
e
n
t
A
n
a
l
y
si
s
‖,
16
th
in
ter
n
a
t
io
n
a
l
Co
n
fer
e
n
c
e
,
CICL
in
g
2
0
1
5
,
P
a
rt
II,
p
p
.
3
-
2
2
,
2
0
1
5
.
[2
]
E.
Ca
m
b
ira,
―
A
n
In
tro
d
u
c
ti
o
n
to
C
o
n
c
e
p
t
-
L
e
v
e
l
S
e
n
ti
m
e
n
t
A
n
a
l
y
s
is
‖
,
T
h
e
1
2
t
h
M
e
x
ica
n
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Art
if
icia
l
In
tell
ig
e
n
c
e
,
P
a
rt
II,
p
p
.
4
7
8
-
48
3,
2
0
1
3
.
[3
]
N.
Y.
Ha
b
a
sh
,
―
In
tr
o
d
u
c
ti
o
n
t
o
A
ra
b
ic
Na
tu
ra
l
L
a
n
g
u
a
g
e
P
ro
c
e
s
sin
g
‖
,
S
y
n
t
h
e
sis
L
e
c
tu
re
s
o
n
H
u
ma
n
L
a
n
g
u
a
g
e
T
e
c
h
n
o
l
o
g
ies
3
.
1
,
2
0
1
0
.
[4
]
A
.
Dh
o
k
ra
t,
e
t
a
l
.
,
―
Re
v
ie
w
o
n
Op
in
i
o
n
M
i
n
i
n
g
f
o
r
F
u
ll
y
F
led
g
e
d
S
y
ste
m
‖
,
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
I
n
fo
rm
a
ti
c
s (
IJ
EE
I)
,
v
o
l
.
4
,
n
o
.
2
,
p
p
.
1
4
1
-
1
4
8
,
2
0
1
6
.
[5
]
P
.
Ku
m
a
r
a
n
d
S
.
Na
n
d
a
g
o
p
a
lan
,
―
In
sig
h
ts
to
P
r
o
b
lem
s,
Re
s
e
a
rc
h
T
re
n
d
a
n
d
P
r
o
g
re
ss
in
T
e
c
h
n
iq
u
e
s
o
f
S
e
n
ti
m
e
n
t
A
n
a
l
y
si
s
‖
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
Co
m
p
u
ter
E
n
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l
.
7
,
n
o
.
5
,
p
p
.
2
8
1
8
-
2
8
2
2
,
2
0
1
7
.
[6
]
H
.
L
iu
a
n
d
P
.
S
i
n
g
h
,
―
Co
n
c
e
p
t
Ne
t
—
A
P
ra
c
ti
c
a
l
Co
m
m
o
n
S
e
n
se
Re
a
so
n
in
g
T
o
o
l
-
k
it
‖
,
BT
T
e
c
h
n
o
l
o
g
y
J
o
u
rn
a
l
,
v
o
l
.
2
2
,
n
o
.
4
,
p
p
.
2
1
1
-
2
2
6
,
2
0
0
4
.
[7
]
E.
Ca
m
b
ria
,
e
t
a
l
.,
―
S
e
n
ti
c
Ne
t:
A
P
u
b
li
c
ly
Av
a
il
a
b
le
S
e
m
a
n
ti
c
Re
so
u
rc
e
f
o
r
Op
in
io
n
M
in
i
n
g
‖
,
AA
AI
Fa
ll
S
y
mp
o
si
u
m:
Co
mm
o
n
se
n
se
Kn
o
w
led
g
e
,
v
o
l.
1
0
,
2
0
1
0
.
[8
]
E.
Ca
m
b
ria
,
e
t
a
l
.,
―
S
e
n
ti
c
Ne
t
2
:
A
S
e
m
a
n
ti
c
a
n
d
Aff
e
c
ti
v
e
Re
so
u
rc
e
f
o
r
Op
in
i
o
n
M
i
n
i
n
g
a
n
d
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis
‖
,
FL
AIR
S
c
o
n
fer
e
n
c
e
,
p
p
.
2
0
2
-
2
0
7
,
2
0
1
2
.
[9
]
E.
Ca
m
b
ria
,
e
t
a
l
.,
―
S
e
n
ti
c
Ne
t
3
:
A
Co
m
m
o
n
a
n
d
Co
m
m
o
n
-
S
e
n
se
Kn
o
w
led
g
e
Ba
s
e
f
o
r
Co
g
n
it
io
n
-
D
riv
e
n
S
e
n
ti
m
e
n
t
A
n
a
l
y
si
s
‖
,
T
we
n
ty
-
e
ig
h
t
h
AA
AI
c
o
n
fer
e
n
c
e
o
n
a
rti
fi
c
ia
l
in
tell
ig
e
n
c
e
,
2
0
1
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
5
,
Octo
b
er
2
0
1
8
:
401
5
–
40
22
4022
[1
0
]
E.
Ca
m
b
ria
,
e
t
a
l
.,
―
S
e
n
ti
c
Ne
t
4
:
A
S
e
m
a
n
ti
c
Re
so
u
rc
e
f
o
r
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis
b
a
se
d
o
n
Co
n
c
e
p
t
u
a
l
P
rim
it
iv
e
s
‖
,
COLING,
p
p
.
2
6
6
6
-
2
6
7
7
,
2
0
1
6
.
[1
1
]
P
.
A
ro
ra
,
e
t
a
l
.
,
―
A
n
A
p
p
ro
a
c
h
f
o
r
Big
Da
ta
to
Ev
o
lv
e
th
e
A
u
sp
icio
u
s
In
f
o
rm
a
ti
o
n
f
ro
m
C
ro
ss
-
Do
m
a
in
s
‖
,
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
E
lec
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l
.
7
,
n
o
.
2
,
p
p
.
9
6
7
-
9
7
4
,
2
0
1
7
.
[1
2
]
A
.
A
lO
w
i
sh
e
q
,
e
t.
a
l.
,
―
A
ra
b
ic
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis
Re
so
u
rc
e
s:
a
S
u
rv
e
y
‖
,
S
o
c
ia
l
Co
m
p
u
ti
n
g
a
n
d
S
o
c
ia
l
M
e
d
ia
:
8
t
h
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
c
e
,
p
p
.
2
6
7
-
2
7
8
,
2
0
1
6
.
[1
3
]
K.
Da
sh
ti
p
o
u
r,
e
t
a
l
.,
―
M
u
lt
il
i
n
g
u
a
l
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis:
S
tat
e
o
f
th
e
A
rt
a
n
d
In
d
e
p
e
n
d
e
n
t
Co
m
p
a
riso
n
o
f
T
e
c
h
n
iq
u
e
s Co
g
n
it
iv
e
Co
m
p
u
tati
o
n
‖
,
v
o
l
.
8
,
n
o
.
4
,
p
p
.
7
5
7
-
7
7
1
,
2
0
1
6
.
[1
4
]
Al
-
Tw
a
ire
sh
,
e
t
a
l
.,
―
S
u
b
jec
ti
v
it
y
a
n
d
S
e
n
t
im
e
n
t
A
n
a
l
y
sis
o
f
A
ra
b
ic:
Tr
e
n
d
s
a
n
d
C
h
a
ll
e
n
g
e
s
‖
,
1
1
t
h
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Co
m
p
u
ter
S
y
ste
ms
a
n
d
A
p
p
li
c
a
ti
o
n
s (
AICCS
A)
,
I
EE
E/
A
CS
,
p
p
.
1
4
8
-
1
5
5
,
2
0
1
4
.
[1
5
]
K.
Ra
v
i
a
n
d
V
.
Ra
v
i,
―
A
S
u
rv
e
y
o
n
o
p
i
n
io
n
m
in
in
g
a
n
d
se
n
ti
m
e
n
t
A
n
a
l
y
si
s:
T
a
s
k
s,
A
p
p
ro
a
c
h
e
s
a
n
d
A
p
p
li
c
a
ti
o
n
s
‖
,
Kn
o
wled
g
e
-
Ba
se
d
S
y
ste
ms
,
v
o
l.
8
9
,
p
p
.
1
4
-
4
6
,
2
0
1
5
.
[1
6
]
M
.
A
.
M
a
g
e
e
d
,
e
t
a
l
.,
―
S
A
M
AR:
A
S
y
ste
m
f
o
r
S
u
b
jec
ti
v
it
y
a
n
d
S
e
n
ti
m
e
n
t
A
n
a
l
y
sis
o
f
A
r
a
b
ic
S
o
c
ial
M
e
d
ia
‖
,
Co
mp
u
ter
S
p
e
e
c
h
&
L
a
n
g
u
a
g
e
,
v
o
l/
issu
e
:
2
8
(
1
),
p
p
.
2
0
-
3
7
,
2
0
1
4
.
[1
7
]
T
.
Jo
a
c
h
im
s,
―
S
v
m
li
g
h
t:
S
u
p
p
o
r
t
v
e
c
to
r
m
a
c
h
in
e
‖
,
Co
rn
e
ll
U
n
iv
e
rsity
,
2
0
0
8
.
[1
8
]
H.
Ib
ra
h
im
,
e
t
a
l
.
,
―
S
e
n
ti
m
e
n
t
A
n
a
l
y
si
s
f
o
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3
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N.
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s
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1
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