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I
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6
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Decem
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2020
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y
to
u
s
e
ab
b
r
ev
iated
ex
p
r
ess
io
n
s
th
a
t
h
elp
s
i
n
ex
p
r
ess
i
n
g
f
ee
li
n
g
s
an
d
e
m
o
t
io
n
s
.
I
n
ad
d
itio
n
,
e
m
o
tico
n
s
a
n
d
e
m
o
j
is
s
tan
d
as
a
to
o
l
th
at
e
n
h
an
ce
s
t
h
e
s
en
t
i
m
e
n
tal
o
r
ien
tatio
n
o
f
t
h
e
s
p
ea
k
er
.
E
m
o
j
is
ar
e
d
e
f
in
ed
as
“
a
s
m
a
ll
d
i
g
ital
i
m
a
g
e
o
r
ico
n
u
s
ed
to
ex
p
r
ess
an
id
ea
o
r
em
o
tio
n
”
(
Ox
f
o
r
d
d
ictio
n
ar
y
in
2
0
1
8
)
.
R
ec
en
tl
y
t
h
er
e
h
as
b
ee
n
an
in
cr
ea
s
e
in
ter
es
t
in
m
ea
s
u
r
in
g
th
e
s
e
e
m
o
tio
n
s
u
s
i
n
g
d
iv
er
s
e
m
et
h
o
d
s
o
f
an
al
y
s
i
s
,
a
m
o
n
g
t
h
ese
m
et
h
o
d
s
is
s
en
ti
m
e
n
t
a
n
al
y
s
is
.
I
n
[
1
1
,
1
2
]
d
ef
in
es
s
e
n
ti
m
en
t
al
an
al
y
s
is
a
s
“
t
h
e
f
ield
o
f
s
t
u
d
y
th
at
an
al
y
s
es
p
eo
p
le’
s
o
p
in
io
n
s
,
s
e
n
ti
m
e
n
ts
,
ev
alu
a
tio
n
s
,
ap
p
r
aisals
,
attit
u
d
es,
an
d
e
m
o
tio
n
s
to
w
ar
d
s
e
n
titi
e
s
s
u
ch
a
s
p
r
o
d
u
cts,
s
er
v
ices,
o
r
g
an
izat
io
n
s
,
in
d
iv
id
u
als,
i
s
s
u
es,
e
v
en
t
s
,
to
p
ics,
a
n
d
th
eir
attr
ib
u
tes”.
T
h
e
r
esear
ch
d
em
o
n
s
tr
ates
t
h
at
th
er
e
is
a
s
tr
o
n
g
ad
h
er
en
c
e
to
s
o
cial
m
ed
ia.
P
eo
p
le
also
ten
d
to
in
co
r
p
o
r
ate
em
o
j
is
a
n
d
ab
b
r
ev
iated
ex
p
r
es
s
io
n
s
i
n
th
e
ir
co
m
p
u
ter
co
m
m
u
n
icati
v
e
i
n
ter
ac
tio
n
[
1
3
,
1
4
]
.
Hea
r
t
co
d
es,
s
m
ile
y
f
ac
es,
o
r
cr
y
in
g
f
ac
es
ar
e
r
ef
lecti
n
g
t
h
e
s
e
n
ti
m
e
n
t
o
r
ien
tatio
n
o
f
t
h
e
s
p
ea
k
er
w
h
ic
h
,
o
n
m
a
n
y
o
cc
asio
n
s
,
s
u
b
s
tit
u
te
th
e
tex
t
o
r
en
h
an
ce
t
h
e
e
m
o
ti
o
n
al
in
te
n
tio
n
.
Fo
r
th
at
r
ea
s
o
n
,
it
is
n
ec
es
s
ar
y
to
tak
e
i
n
to
co
n
s
id
er
atio
n
t
h
e
r
o
le
o
f
e
m
o
j
is
in
an
y
s
e
n
ti
m
en
t
q
u
er
y
ca
r
r
ied
o
u
t
o
n
co
m
p
u
ter
m
ed
iated
in
ter
ac
tio
n
[
1
5
,
1
6
]
.
T
h
e
aim
o
f
th
e
cu
r
r
en
t
r
esear
ch
is
to
in
v
e
s
ti
g
ate
th
e
s
e
n
ti
m
e
n
t
o
r
ien
tatio
n
o
f
th
e
te
x
t
u
al
f
ea
t
u
r
es
as
w
ell
a
s
t
h
e
e
m
o
j
i
s
-
b
ased
f
ea
t
u
r
es
o
f
A
r
ab
ic
co
m
m
en
t
s
p
o
s
ted
o
n
s
o
cial
m
e
d
ia,
T
w
itter
,
d
u
r
in
g
th
e
W
o
r
ld
C
u
p
ev
e
n
t.
I
t
a
ls
o
m
ea
s
u
r
es
w
h
et
h
er
d
i
f
f
er
e
n
t
r
e
s
u
lt
s
w
i
ll
b
e
o
b
tain
ed
w
h
e
n
t
h
e
tex
t
is
an
al
y
ze
d
i
n
is
o
latio
n
f
r
o
m
e
m
o
j
is
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
is
s
ec
tio
n
p
r
esen
ts
t
h
e
s
tep
s
ad
o
p
ted
in
p
u
r
s
u
i
n
g
t
h
is
r
es
ea
r
ch
.
I
t
s
tar
t
s
b
y
d
escr
ib
in
g
t
h
e
r
ea
s
o
n
w
h
y
s
o
cial
m
ed
ia
i
s
w
id
el
y
u
s
ed
as
a
s
o
u
r
ce
o
f
d
ata,
p
ar
ticu
lar
l
y
t
w
itter
.
T
h
en
,
d
if
f
er
en
t
t
y
p
es
o
f
s
a
m
p
li
n
g
an
d
m
et
h
o
d
s
o
f
d
ata
co
llectio
n
w
ill
b
e
p
r
esen
t
s
,
n
a
m
i
n
g
th
e
p
r
o
ce
s
s
o
f
d
ata
co
llectio
n
ad
o
p
ted
in
th
is
w
o
r
k
.
L
ater
,
t
h
e
d
i
v
er
s
e
tec
h
n
iq
u
e
s
o
f
a
n
al
y
zin
g
d
ata
w
ill
b
e
d
i
s
cu
s
s
ed
,
h
ig
h
li
g
h
ti
n
g
th
e
s
o
u
r
ce
s
th
at
t
h
is
s
t
u
d
y
r
elied
o
n
in
t
h
is
p
r
o
ce
d
u
r
e.
I
t
w
a
s
o
f
t
w
o
s
tep
s
;
t
h
e
f
ir
s
t
o
n
e
w
a
s
t
h
e
p
r
e
-
p
r
o
ce
s
s
in
g
ta
s
k
s
an
d
th
e
s
ec
o
n
d
o
n
e
w
a
s
s
e
n
ti
m
e
n
t
a
n
al
y
s
i
s
to
o
l
.
Fin
all
y
,
t
h
e
s
ec
tio
n
en
d
s
w
it
h
an
il
lu
s
tr
atio
n
f
o
r
t
h
e
d
esi
g
n
an
d
i
m
p
le
m
e
n
tatio
n
o
f
th
e
ar
te
f
ac
t.
T
h
is
s
ec
tio
n
also
d
e
m
o
n
s
tr
at
es
th
e
m
ed
iu
m
ad
o
p
ted
in
co
llectin
g
d
ata.
B
ef
o
r
e
p
r
o
ce
e
d
in
g
i
n
to
th
e
d
etail
s
,
it
m
u
s
t
b
e
n
o
ted
h
er
e
th
a
t
t
h
is
s
t
u
d
y
r
elie
s
o
n
T
w
i
tter
i
n
i
n
v
e
s
ti
g
ati
n
g
th
e
p
o
s
ter
’
s
e
n
ti
m
e
n
ts
.
A
s
u
b
s
ta
n
tial
p
er
v
asi
v
e
q
u
es
tio
n
is
w
h
et
h
er
s
o
cial
m
ed
ia
is
a
r
eliab
le
s
o
u
r
ce
o
f
d
ata
.
T
h
ese
p
latf
o
r
m
s
,
d
esp
ite
b
ein
g
w
id
el
y
u
s
ed
as
an
in
s
tr
u
m
e
n
t
i
n
d
if
f
er
en
t
t
y
p
es
o
f
r
esear
ch
,
th
e
y
ar
e
n
o
t
u
s
ed
b
y
all
co
m
m
u
n
it
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a
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m
a
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a
s
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ata
f
o
r
o
n
ly
n
o
n
p
r
o
b
ab
ilit
y
s
a
m
p
les
[
1
,
4
,
1
7
]
.
Sig
n
i
f
ican
tl
y
m
en
tio
n
ed
s
o
cial
m
ed
ia
p
r
esen
t
v
alu
ab
le
in
s
i
g
h
ts
f
o
r
a
w
id
e
r
an
g
e
o
f
i
n
q
u
ir
ie
s
n
o
t
g
en
er
a
tab
le
f
o
r
a
w
id
er
p
o
p
u
latio
n
,
th
o
u
g
h
.
T
h
er
ef
o
r
e,
it
is
d
e
m
a
n
d
ed
to
v
ie
w
it
p
r
ac
ticall
y
an
d
o
b
j
ec
tiv
el
y
,
p
a
y
i
n
g
s
p
ec
ial
atte
n
tio
n
f
o
r
its
p
o
ten
tial
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v
a
n
ta
g
es
a
n
d
s
o
u
r
ce
s
o
f
er
r
o
r
s
[
1
8
,
1
9
]
.
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n
o
th
er
h
an
d
,
th
e
t
y
p
e
o
f
d
ata
d
er
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ed
f
r
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m
t
h
e
w
eb
is
u
s
u
all
y
r
e
f
er
r
ed
to
as
co
r
p
o
r
a.
Do
cu
m
e
n
t
s
ad
o
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ted
in
th
e
co
r
p
u
s
m
ig
h
t
i
n
clu
d
e
co
m
p
ar
ativ
e
ess
a
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s
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ev
ie
w
s
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co
m
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n
ts
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t
w
ee
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…
etc.
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h
ey
also
ca
n
h
av
e
a
s
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g
n
i
f
ican
t
i
m
p
ac
t
o
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en
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t
a
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s
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t
h
as
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ee
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en
tio
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ed
i
n
t
h
e
p
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r
s
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t
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h
at
T
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itter
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a
p
o
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lar
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o
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et
w
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a
m
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A
r
ab
ic
s
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k
i
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g
u
s
er
s
.
T
o
ac
co
m
p
li
s
h
th
e
s
tep
o
f
d
ata
co
llectio
n
,
th
e
m
a
n
u
al
tech
n
iq
u
e
h
as
b
ee
n
f
o
u
n
d
m
o
r
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ap
p
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p
r
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to
th
e
r
eq
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m
e
n
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t
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s
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t
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h
e
ca
s
e
w
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h
th
e
tech
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iq
u
e
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o
p
ted
b
y
[
1
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2
0
,
2
1
]
.
As
a
s
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m
m
ar
y
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t
h
e
f
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r
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s
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o
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s
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d
ata
a
n
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s
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n
v
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l
v
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t
h
r
ee
s
ta
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es.
T
h
is
f
ir
s
t
o
n
e
w
a
s
d
ata
in
p
u
t,
w
h
er
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t
w
ee
t
s
,
in
c
lu
d
i
n
g
tex
t
an
d
e
m
o
j
is
h
av
e
b
ee
n
i
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p
u
t.
T
o
s
u
m
u
p
,
th
e
m
et
h
o
d
o
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al
s
tep
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o
llo
w
ed
i
n
th
is
r
esear
c
h
lis
ted
b
elo
w
f
o
llo
w
ed
b
y
F
i
g
u
r
e
2
th
at
d
e
m
o
n
s
tr
ates th
e
m
:
-
Data
co
llectio
n
: T
h
e
Data
ar
e
co
ll
ec
ted
r
an
d
o
m
l
y
u
s
i
n
g
te
n
d
if
f
er
e
n
t H
as
h
ta
g
s
.
-
D
ata
clea
n
in
g
:
R
e
m
o
v
in
g
t
h
e
u
n
d
es
ir
ab
le
d
ata
an
d
m
a
in
tai
n
i
n
g
o
n
l
y
th
e
r
eq
u
ir
ed
t
w
ee
t
s
w
i
th
e
m
o
j
is
a
n
d
co
m
p
il
in
g
t
w
ee
t
s
in
Mic
r
o
s
o
f
t
w
o
r
d
d
o
cu
m
en
t.
-
P
re
-
p
r
o
ce
s
s
in
g
ta
s
k
: Co
m
p
il
in
g
th
e
co
m
m
e
n
t
s
in
to
o
n
e
Mic
r
o
s
o
f
t
w
o
r
d
d
o
cu
m
e
n
t
s
.
-
Sen
ti
m
e
n
t
An
al
y
s
es:
u
s
in
g
t
wo
d
if
f
er
en
t
s
tr
ateg
ies,
m
a
n
u
al
an
d
co
m
p
u
ti
n
g
.
-
Desig
n
a
n
ar
tef
ac
t t
h
at
ca
lc
u
la
tes th
e
p
o
lar
it
y
o
f
t
w
ee
ts
d
ep
en
d
in
g
o
n
t
w
o
le
x
ico
n
s
o
f
tex
t
an
d
e
m
o
j
i.
-
I
m
p
le
m
e
n
tatio
n
an
d
r
es
u
lt: C
o
m
p
ar
i
n
g
th
e
r
es
u
lt
s
an
d
w
r
it
i
n
g
r
ec
o
m
m
en
d
atio
n
s
[
4
,
2
2
,
2
3
]
.
Data
co
llectio
n
:
T
h
e
Data
ar
e
co
llected
r
an
d
o
m
l
y
u
s
in
g
ten
d
if
f
er
en
t
Ha
s
h
tag
s
.
Dat
a
clea
n
in
g
:
R
e
m
o
v
i
n
g
t
h
e
u
n
d
esira
b
le
d
ata
an
d
m
a
in
ta
in
i
n
g
o
n
l
y
t
h
e
r
eq
u
ir
ed
t
w
ee
t
s
w
it
h
e
m
o
j
is
an
d
co
m
p
il
in
g
t
w
ee
t
s
in
Mic
r
o
s
o
f
t
W
o
r
d
d
o
cu
m
e
n
t.
P
r
e
-
p
r
o
ce
s
s
in
g
ta
s
k
:
C
o
m
p
ilin
g
t
h
e
co
m
m
e
n
ts
i
n
to
o
n
e
Mic
r
o
s
o
f
t
W
o
r
d
d
o
cu
m
en
ts
.
Sen
ti
m
en
t
An
al
y
s
es:
u
s
i
n
g
t
w
o
d
if
f
er
en
t
s
tr
ateg
ies,
m
an
u
al
an
d
co
m
p
u
tin
g
h
a
v
e
i
m
p
le
m
en
te
d
in
th
is
r
esear
c
h
[
1
,
4
,
2
3
-
26
]
.
So
f
ar
,
th
i
s
p
ap
er
p
r
esen
ted
th
e
m
et
h
o
d
o
lo
g
ical
s
tep
s
i
n
t
h
is
s
tu
d
y
,
th
e
co
r
e
ar
ea
in
th
i
s
w
o
r
k
.
I
t star
ts
b
y
h
ig
h
li
g
h
tin
g
th
e
ad
v
a
n
ta
g
e
o
f
h
ar
v
e
s
ti
n
g
d
ata
u
s
i
n
g
t
h
e
s
o
cial
m
ed
ia
f
o
llo
w
ed
b
y
d
es
cr
ib
in
g
th
e
t
y
p
e
s
o
f
s
a
m
p
li
n
g
,
th
e
m
et
h
o
d
s
o
f
d
ata
co
llectio
n
an
d
it
s
an
al
y
s
is
.
I
t
en
d
s
w
it
h
a
n
ill
u
s
tr
atio
n
f
o
r
t
h
e
to
o
l
d
esig
n
a
n
d
its
i
m
p
le
m
e
n
tatio
n
.
Fig
u
r
e
2
.
Fra
m
e
w
o
r
k
r
esear
ch
m
eth
o
d
o
lo
g
y
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.
10
,
No
.
6
,
Decem
b
er
2020
:
5
9
1
7
-
5
9
2
2
5920
3.
RE
SU
L
T
S
AND
D
I
SCU
SS
I
O
N
I
n
th
i
s
s
ec
tio
n
,
p
r
esen
ts
th
e
r
esu
lt
s
ar
r
iv
ed
at
f
r
o
m
b
o
th
t
h
e
co
m
p
u
tin
g
p
r
o
g
r
a
m
a
n
d
t
h
e
m
a
n
u
al
ca
lcu
latio
n
.
As
h
a
s
b
ee
n
m
en
t
io
n
ed
in
ea
r
lier
,
1
0
h
ash
ta
g
s
w
er
e
u
s
ed
in
co
llecti
n
g
d
ata,
an
d
1
0
0
tw
ee
ts
w
er
e
o
b
tain
ed
f
r
o
m
ea
ch
h
a
s
h
tag
.
Hen
ce
,
T
o
tal
t
w
ee
ts
w
er
e
1
0
0
0
s
a
m
p
le.
As
ca
n
b
e
d
e
m
o
n
s
tr
ated
f
r
o
m
th
e
b
elo
w
ch
ar
t th
at
ea
c
h
r
a
w
r
ep
r
ese
n
ts
a
h
as
h
tag
[
1
,
4
]
.
Af
ter
p
r
ese
n
ti
n
g
th
e
s
tep
s
o
f
d
ata
p
r
o
ce
s
s
in
g
,
b
elo
w
is
a
d
escr
ip
tio
n
o
f
t
h
e
r
es
u
lts
ar
r
iv
ed
at
w
h
e
n
co
m
p
u
ter
an
d
m
a
n
u
a
l
ca
lcu
lat
io
n
o
f
p
o
lar
ities
h
av
e
b
ee
n
ca
r
r
ied
o
u
t.
I
n
th
e
f
ir
s
t
p
lace
,
r
esu
lts
ar
r
iv
ed
at
u
s
in
g
p
y
t
h
o
n
ar
tef
ac
t
w
ill
p
r
ese
n
te
d
.
T
h
e
n
ex
t
tab
le
a
n
d
th
e
s
u
b
s
eq
u
en
t
o
n
es
d
i
s
p
la
y
t
h
e
r
es
u
lts
in
1
0
h
as
h
ta
g
s
.
E
ac
h
ar
r
o
w
,
s
h
o
w
s
t
h
e
p
o
lar
ity
o
f
a
h
as
h
ta
g
in
w
h
ich
1
0
0
tw
ee
t
s
ar
e
an
al
y
s
ed
.
T
h
e
f
ir
s
t
co
lu
m
n
is
r
elate
d
to
th
e
m
o
r
e
p
o
s
iti
v
e
p
o
lar
it
y
,
t
h
e
s
ec
o
n
d
to
t
h
e
p
o
s
iti
v
e
o
n
es
,
th
e
t
h
ir
d
s
h
o
w
s
th
e
n
e
u
tr
al,
th
e
f
o
r
th
d
is
p
la
y
s
th
e
n
e
g
ati
v
e
w
o
r
d
s
,
an
d
f
i
n
all
y
th
e
f
i
f
t
h
co
lu
m
n
co
u
n
t
s
t
h
e
m
o
r
e
n
eg
a
tiv
e
o
n
es.
Af
ter
p
r
o
ce
s
s
i
n
g
te
x
t
s
ep
ar
atel
y
f
r
o
m
e
m
o
j
is
t
h
e
f
o
llo
w
i
n
g
r
es
u
lt
s
w
er
e
o
b
tain
ed
f
o
r
th
e
te
x
t.
T
h
e
b
elo
w
tab
le
a
n
d
F
i
g
u
r
e
3
in
b
o
th
w
i
n
d
o
w
s
il
lu
s
tr
ate,
t
h
e
to
tal
p
o
lar
it
y
is
p
o
s
i
tiv
e
o
r
ien
tatio
n
.
T
h
e
ten
t
h
h
as
h
ta
g
in
v
o
lv
es
t
h
e
h
i
g
h
e
s
t
p
o
s
itiv
e
p
o
lar
it
y
,
m
ea
n
w
h
ile
ca
r
r
ies
th
e
least
n
eg
a
tiv
e
v
alu
e
.
I
n
t
h
e
f
i
f
t
h
h
a
s
h
ta
g
,
h
o
w
ev
er
,
th
e
p
o
s
it
iv
e
a
n
d
n
e
g
ativ
e
v
alu
e
s
ar
e
eq
u
al.
T
o
m
ea
s
u
r
e
t
h
e
ac
cu
r
ac
y
g
i
v
e
n
b
y
t
h
e
ar
tef
ac
t,
b
elo
w
ar
e
th
e
r
esu
lts
o
b
tain
ed
a
f
ter
m
a
k
i
n
g
a
m
an
u
al
ca
lc
u
latio
n
f
o
r
te
x
t a
n
al
y
s
is
.
I
t
ca
n
b
e
o
b
s
er
v
ed
t
h
at
th
er
e
a
s
li
g
h
t
d
i
f
f
er
e
n
ce
b
et
w
ee
n
t
h
e
m
et
h
o
d
s
.
R
e
m
ar
k
ab
l
y
,
t
h
e
tab
le
an
d
F
ig
u
r
e
3
also
d
em
o
n
s
tr
ate
t
h
a
t
th
e
p
o
s
itiv
e
p
o
lar
it
y
in
th
e
te
n
th
a
n
d
th
ir
d
h
as
h
tag
ar
e
eq
u
al.
W
h
en
a
s
p
ac
e
is
n
o
t
i
n
s
er
ted
b
et
w
ee
n
t
w
o
ite
m
s
,
th
e
ar
tef
ac
t
w
ill
co
n
s
id
er
it
as
o
n
e
id
e
n
tit
y
.
T
h
u
s
,
m
o
s
t
o
f
th
e
m
w
er
e
co
u
n
ted
as
n
eu
tr
al
p
o
lar
it
y
d
u
e
to
th
eir
u
n
av
a
ilab
ilit
y
i
n
t
h
e
lex
i
co
n
.
A
t
th
e
s
a
m
e
ti
m
e,
r
esu
lts
o
b
tain
ed
f
r
o
m
th
e
ar
te
f
ac
t,
t
h
o
u
g
h
,
w
er
e
o
f
b
etter
ac
cu
r
ac
y
.
T
h
i
s
i
s
b
ec
au
s
e
all
w
o
r
d
s
an
d
e
m
o
j
is
w
er
e
ca
lcu
lated
,
w
h
ile
i
n
th
e
m
a
n
u
al
ca
lcu
lat
io
n
,
o
n
l
y
th
e
d
is
ti
n
cti
v
e
w
o
r
d
s
w
er
e
ca
lcu
lated
.
Fo
r
ex
a
m
p
le,
p
o
lar
ity
f
o
r
p
r
ep
o
s
itio
n
s
w
er
e
n
o
t ta
k
e
n
in
to
ac
co
u
n
t i
n
th
e
m
a
n
u
al
ca
lcu
latio
n
,
w
h
ile
in
th
e
p
r
o
g
r
a
m
,
t
h
e
y
w
er
e
g
i
v
e
n
a
v
al
u
e.
Fig
u
r
e
3
.
R
esu
lts
o
f
p
r
o
g
r
a
m
m
ed
/
m
a
n
u
al
te
x
t c
alcu
latio
n
s
[
4
]
As
to
e
m
o
j
i
an
al
y
s
is
,
i
t
i
s
m
en
tio
n
ed
ea
r
lier
t
h
at
t
h
e
s
a
m
e
s
t
ep
s
h
a
v
e
b
ee
n
f
o
llo
w
ed
in
t
h
e
ir
an
al
y
s
i
s
.
T
h
e
h
ig
h
e
s
t
p
o
s
iti
v
e
p
o
lar
it
y
o
b
tain
ed
f
r
o
m
t
h
e
f
o
u
r
t
h
h
a
s
h
ta
g
,
f
o
llo
w
ed
b
y
th
e
th
ir
d
an
d
f
if
th
h
a
s
h
ta
g
.
Ho
w
e
v
er
,
it
is
clea
r
th
at
th
e
m
o
r
e
p
o
s
iti
v
e
p
o
l
ar
it
y
e
x
ce
ed
s
th
e
p
o
s
iti
v
e
o
n
e
s
.
T
h
e
h
ig
h
e
s
t
r
ate
w
a
s
i
n
th
e
i
n
th
e
s
e
v
e
n
th
a
n
d
te
n
th
h
as
h
ta
g
s
,
f
o
llo
w
ed
b
y
t
h
e
n
i
n
t
h
a
n
d
ten
t
h
h
a
s
h
tag
s
.
B
elo
w
ar
e
t
h
e
o
b
tain
ed
p
o
lar
ity
ca
lcu
latio
n
s
f
o
r
ten
h
a
s
h
ta
g
s
as sh
o
w
n
i
n
F
i
g
u
r
e
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
S
en
timen
t a
n
a
lysi
s
o
f c
o
mme
n
ts
in
s
o
cia
l m
ed
ia
(
A
b
d
u
lr
a
h
m
a
n
A
lr
u
ma
ih
)
5921
Fig
u
r
e
4
.
R
esu
lts
o
f
p
r
o
g
r
a
m
m
ed
/
m
a
n
u
al
e
m
o
j
i c
alcu
lat
io
n
s
I
n
co
m
p
ar
in
g
t
h
e
ab
o
v
e
r
esu
lt
s
w
it
h
t
h
e
p
o
lar
it
y
o
b
tain
ed
f
r
o
m
t
h
e
te
x
tu
a
l
an
a
l
y
s
is
,
i
t
is
r
ea
lized
th
a
t
th
e
s
e
n
ti
m
e
n
t
o
r
ien
tatio
n
o
f
e
m
o
j
is
i
s
h
i
g
h
er
th
a
n
th
a
t
o
f
t
h
e
tex
t
w
h
e
n
it
is
a
n
al
y
ze
d
af
ter
b
ein
g
s
ep
ar
ated
f
r
o
m
t
h
e
e
m
o
j
is
.
T
h
e
r
ea
s
o
n
b
eh
in
d
ca
n
b
e
cr
ed
ited
to
in
s
er
tin
g
m
o
r
e
th
a
n
o
n
e
e
m
o
j
i
w
it
h
i
n
a
co
m
m
en
t.
Seco
n
d
l
y
,
th
e
A
r
ab
ic
p
o
s
ter
s
w
er
e
u
s
in
g
e
m
o
j
is
to
s
u
b
s
tit
u
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ted
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lar
ity
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h
ese
w
o
r
d
s
w
er
e
n
o
t
av
aila
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le
in
th
e
le
x
ico
n
.
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h
e
r
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s
o
n
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eh
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n
d
th
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s
lo
n
g
l
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t
o
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n
e
u
tr
al
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th
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l
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n
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m
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lati
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s
.
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in
th
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k
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h
o
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in
v
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v
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t
s
f
r
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d
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t
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r
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w
h
ich
m
i
g
h
t
d
if
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er
in
m
an
y
v
o
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b
u
lar
ies
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L
i
k
e
w
is
e,
a
li
s
t o
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n
e
w
E
m
o
j
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h
as b
ee
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cr
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ted
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s
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o
f
t
h
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n
av
a
ilab
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in
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h
e
le
x
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n
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4.
CO
NCLU
SI
O
N
An
e
m
o
j
is
i
n
d
i
ca
te
e
x
p
licitl
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th
e
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en
t
i
m
e
n
t
o
r
ien
tatio
n
o
f
t
h
e
w
r
iter
if
it
w
er
e
p
o
s
iti
v
e,
n
eg
at
iv
e
o
r
n
eu
tr
al.
T
h
i
s
s
u
p
p
o
r
ts
th
e
r
ese
ar
ch
q
u
est
io
n
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tated
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lier
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t e
m
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j
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w
o
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k
i
n
h
an
d
w
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th
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tex
t i
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pe
o
p
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f
ee
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g
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a
n
d
e
m
o
tio
n
s
.
T
h
is
w
o
r
k
i
m
p
licate
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t
h
at
a
n
an
al
y
s
is
o
f
a
n
y
A
r
ab
ic
co
m
m
en
t
w
o
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ld
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e
m
o
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e
ac
cu
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ate
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o
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tex
t
a
n
d
e
m
o
j
i
a
r
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in
to
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co
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in
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en
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e
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t
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al
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Seco
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n
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al
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m
m
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n
t
s
in
an
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er
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ed
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m
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c
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eb
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o
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tag
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ted
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n
eu
r
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o
r
th
e
m
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all
y
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f
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t
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m
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e
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lt
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ter
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g
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al
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is
.
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.
10
,
No
.
6
,
Decem
b
er
2020
:
5
9
1
7
-
5
9
2
2
5922
RE
F
E
R
E
NC
E
S
[1
]
A
.
A
lru
m
a
ih
,
“
S
e
n
ti
m
e
n
tal
A
n
a
ly
sis
o
f
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ra
b
ic
Co
m
m
e
n
ts
i
n
Co
m
p
u
ter
M
e
d
iate
d
Co
m
m
u
n
ica
ti
o
n
,
”
M
S
c
T
h
e
sis
,
S
h
e
f
f
i
e
ld
Ha
ll
a
m
Un
iv
e
rsit
y
,
2
0
1
8
.
[2
]
B.
Ha
le,
e
t
a
l.
,
“
T
h
e
Histo
ry
o
f
S
o
c
ial
M
e
d
ia:
S
o
c
ial
Ne
tw
o
rk
in
g
Ev
o
lu
ti
o
n
,
”
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o
ry
,
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e
c
tro
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ics
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l
.
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8
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p
.
4
5
0
-
4
6
4
,
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e
b
.
2
0
1
1
.
[3
]
H
.
J.
A
leq
a
b
ie,
e
t
a
l.
,
“
S
e
n
ti
m
e
n
t
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n
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ly
sis
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0
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2
0
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.
[4
]
A
.
A
lru
m
a
ih
,
e
t
a
l.
,
“
A
n
a
l
y
z
in
g
Us
e
r
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h
a
v
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n
d
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tal
in
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m
p
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ter
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e
d
iate
d
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o
m
m
u
n
ica
ti
o
n
,
”
In
ter
n
a
t
io
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a
l
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fer
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ima
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ss
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2
0
2
0
)
,
T
a
iw
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n
,
M
a
y
2
0
2
0
.
[5
]
P
.
M
.
F
ig
li
o
la,
“
P
ro
m
o
ti
n
g
G
lo
b
a
l
In
tern
e
t
F
re
e
d
o
m
:
P
o
li
c
y
a
n
d
T
e
c
h
n
o
lo
g
y
,”
Co
n
g
re
ss
io
n
a
l
Res
e
a
rc
h
S
e
rv
ice
,
201
3
.
[6
]
C.
Co
o
k
,
“
M
o
b
il
e
M
a
rk
e
ti
n
g
a
n
d
P
o
li
ti
c
a
l
A
c
ti
v
it
ies
,”
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ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
M
o
b
i
le
M
a
rk
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ti
n
g
,
v
o
l.
5
,
n
o
.
1
,
p
p
.
1
5
4
-
1
6
3
,
2
0
1
0
.
[7
]
B.
L
iu
,
“
S
e
n
ti
m
e
n
t
a
n
a
ly
sis
a
n
d
o
p
in
i
o
n
m
in
in
g
,”
S
y
n
th
e
sis
lec
t
u
re
s
o
n
h
u
ma
n
l
a
n
g
u
a
g
e
tec
h
n
o
l
o
g
ie
s
,
v
o
l.
5
,
n
o
.
1
,
pp.
1
-
1
6
7
,
2
0
1
2
.
[8
]
M
.
P
re
ise
n
d
o
rf
e
r,
e
t
a
l.
,
“
S
o
c
ial
M
e
d
ia
Em
o
ji
A
n
a
ly
sis,
Co
rre
latio
n
s
a
n
d
T
ru
st
M
o
d
e
li
n
g
,”
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c
t
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ra
l
d
isse
rtatio
n
,
2
0
1
8
.
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n
li
n
e
],
A
v
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il
a
b
le:
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tt
p
:/
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d
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t/
1
9
5
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/
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9
5
7
4
.
[9
]
A
.
A
.
Al
-
S
a
b
b
a
g
h
,
e
t
a
l.
,
“
A
n
e
x
ten
siv
e
r
e
v
ie
w
:
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tern
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t
o
f
th
in
g
s
is
sp
e
e
d
in
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p
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e
ss
it
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f
o
r
5
G
,”
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t
e
rn
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t
io
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l
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rn
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g
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Res
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n
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p
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n
s
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v
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l.
5
,
n
o
.
7
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p
p
.
1
0
6
-
1
1
2
,
2
0
1
5
.
[1
0
]
A
.
Al
-
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a
b
b
a
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h
a
n
d
R
.
A
ls
a
b
a
h
,
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In
tern
e
t
o
f
th
in
g
s
a
n
d
b
ig
d
a
ta
a
n
a
ly
sis:
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c
e
n
t
tren
d
s
a
n
d
c
h
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ll
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g
e
s
,”
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d
S
c
h
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rs
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ti
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n
,
2
0
1
6
.
[1
1
]
A
.
b
in
S
.
A
h
m
a
ri,
“T
h
e
p
u
rp
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s
e
o
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u
se
o
f
u
n
iv
e
rsity
stu
d
e
n
ts
to
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ial
n
e
tw
o
rk
in
g
sites
:
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f
ield
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stu
d
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ts U
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o
f
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m
a
m
M
u
h
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m
m
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d
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in
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a
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d
Isla
m
ic,
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sh
e
d
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A
T
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e
sis,
2
0
1
5
.
[1
2
]
M
il
in
n
ial
M
a
rk
e
ti
n
g
,
“
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il
len
n
i
a
ls
Tec
h
-
d
e
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n
t
,
b
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t
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Ne
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e
ss
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e
c
h
-
sa
v
v
y
,
”
[
On
li
n
e
]
,
A
v
a
il
a
b
le:
h
tt
p
:
//
m
il
len
n
ialm
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rk
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/2
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ril
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h
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v
v
y
/
.
[1
3
]
A
.
Y.
M
jh
o
o
l,
“
Ev
a
lu
a
ti
o
n
o
f
u
se
r
p
e
rc
e
iv
e
d
Qo
E
i
n
m
o
b
il
e
sy
st
e
m
s
u
sin
g
so
c
ial
m
e
d
ia
a
n
a
ly
ti
c
s
,”
M
S
c
D
isse
rtatio
n
,
F
l
o
ri
d
a
In
stit
u
te o
f
T
e
c
h
n
o
lo
g
y
,
2016
.
[
On
li
n
e
]
,
A
v
a
i
lab
le:
h
tt
p
:/
/
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d
l.
h
a
n
d
le.
n
e
t/
1
1
1
4
1
/
1
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3
3
.
[1
4
]
L
.
L
e
u
n
g
,
“
P
re
d
ictin
g
In
tern
e
t
Risk
s:
A
L
o
n
g
it
u
d
in
a
l
P
a
n
e
l
S
t
u
d
y
o
f
G
ra
ti
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ica
ti
o
n
s
-
S
o
u
g
h
t
,
In
tern
e
t
A
d
d
ictio
n
S
y
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p
to
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a
n
d
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o
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ial
M
e
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ia
Us
e
a
m
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il
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re
n
a
n
d
A
d
o
les
c
e
n
ts
,”
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a
lt
h
Psy
c
h
o
l
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n
d
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a
v
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ra
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d
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o
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rn
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l
,
v
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l
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2
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n
o
.
1,
p
p
.
4
2
4
-
4
3
9
,
2
0
1
4
.
[1
5
]
M.
Da
v
is
a
n
d
P
.
Ed
b
e
rg
,
“
Un
ico
d
e
Em
o
ji
,
”
20
20
.
[
O
n
li
n
e
]
,
A
v
a
il
a
b
le:
h
tt
p
:/
/
u
n
ico
d
e
.
o
rg
/rep
o
rts/t
r
5
1
/
.
[1
6
]
S
.
I.
A
lsa
n
ie,
“
S
o
c
ial
M
e
d
ia
(
F
a
c
e
b
o
o
k
,
T
w
it
ter,
W
h
a
ts
A
p
p
)
Us
e
d
,
a
n
d
it
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s
Re
latio
n
s
h
ip
w
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h
th
e
Un
iv
e
rsity
S
tu
d
e
n
ts
Co
n
tac
t
w
it
h
t
h
e
ir
F
a
m
il
ies
in
S
a
u
d
i
A
ra
b
ia
,”
Un
ive
rs
a
l
J
o
u
rn
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l
o
f
Psy
c
h
o
lo
g
y
,
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l.
3
,
n
o
.
3,
p
p
.
69
-
72
,
2
0
1
5
.
[1
7
]
A
.
F
a
rg
h
a
l
y
a
n
d
K.
S
h
a
a
lan
,
“
A
ra
b
ic
n
a
tu
ra
l
la
n
g
u
a
g
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p
ro
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e
ss
in
g
:
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a
ll
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n
g
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d
so
lu
ti
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s
,”
AC
M
T
ra
n
sa
c
ti
o
n
s
o
n
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a
n
L
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n
g
u
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g
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fo
rm
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t
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T
AL
IP
)
,
v
o
l.
8
,
n
o
.
4
,
p
p
.
1
-
2
1
,
2
0
0
9
.
[1
8
]
S
h
a
th
a
.
A
.
A
.
Ha
k
a
m
i,
“
T
h
e
im
p
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e
o
f
u
n
d
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n
g
e
m
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ji
:
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n
in
v
e
stig
a
ti
v
e
stu
d
y
,”
Un
iv
e
rsit
y
o
f
Birm
in
g
h
a
m
,
S
c
h
o
o
l
o
f
Co
m
p
u
ter
S
c
ien
c
e
,
Res
e
a
rc
h
T
o
p
ics
in
HCI
,
pp.
1
-
20
,
2
0
1
7
.
[
On
l
in
e
]
,
A
v
a
il
a
b
le:
h
tt
p
s:/
/www
.
c
s.b
h
a
m
.
a
c
.
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k
/~
rjh
/c
o
u
rse
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se
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rc
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In
HCI/2
0
1
6
-
1
7
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u
b
m
issio
n
s/h
a
k
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m
ish
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th
a
.
p
d
f
.
[1
9
]
N.
A
.
A
b
d
u
ll
a
,
e
t
a
l.
,
“
T
o
wa
rd
s
im
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ro
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in
g
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ico
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-
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se
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ra
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ly
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s
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ter
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l
J
o
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rn
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f
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h
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y
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n
d
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b
En
g
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n
e
e
rin
g
(
IJ
IT
W
E)
,
v
o
l.
9
,
n
o
.
3,
p
p
.
55
-
71
,
2
0
1
4
.
[2
0
]
S
.
M
.
M
.
S
e
y
e
d
n
e
z
h
a
d
a
n
d
R
.
M
e
n
e
z
e
s,
“
Un
d
e
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d
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n
g
su
b
j
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t
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b
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se
d
e
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sa
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u
sin
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r
k
sc
ien
c
e
,”
i
n
W
o
rk
sh
o
p
o
n
C
o
mp
lex
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two
r
k
s Co
mp
leNe
t
,
p
p
.
1
5
1
-
1
5
9
,
2
0
1
7
.
[2
1
]
S.
Al
-
A
z
a
n
i
a
n
d
E.
M
.
El
-
A
lfy
,
“
Co
m
b
in
in
g
e
m
o
ji
s
w
it
h
A
ra
b
ic
tex
tu
a
l
fe
a
tu
r
e
s
f
o
r
se
n
ti
m
e
n
t
c
las
si
f
ica
ti
o
n
,”
i
n
2
0
1
8
9
th
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ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
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n
f
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rm
a
ti
o
n
a
n
d
Co
mm
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n
i
c
a
ti
o
n
S
y
ste
ms
(
ICICS
)
,
p
p
.
1
3
9
-
144
,
2
0
1
8
.
[2
2
]
K.
F
.
He
w
a
n
d
W
.
S
.
Ch
e
u
n
g
,
“
Us
e
o
f
F
a
c
e
b
o
o
k
:
A
Ca
se
S
tu
d
y
o
f
S
in
g
a
p
o
re
S
tu
d
e
n
ts'
Ex
p
e
rien
c
e
,”
Asia
P
a
c
if
ic
J
o
u
rn
a
l
o
f
E
d
u
c
a
t
io
n
,
v
o
l.
32
,
n
o
.
2,
pp.
1
8
1
-
1
9
6
,
2
0
1
2
.
[2
3
]
A
.
Co
ll
o
m
b
,
e
t
a
l.
,
“
A
stu
d
y
a
n
d
c
o
m
p
a
riso
n
o
f
se
n
ti
m
e
n
t
a
n
a
ly
sis
m
e
th
o
d
s
f
o
r
re
p
u
tatio
n
e
v
a
lu
a
ti
o
n
,
”
2
0
1
3
.
[
On
li
n
e
]
,
A
v
a
il
a
b
le:
h
tt
p
s://
li
ris.
c
n
rs.f
r/Do
c
u
m
e
n
ts/L
iri
s
-
6
5
0
8
.
p
d
f
[2
4
]
S.
A
lj
a
sir,
e
t
a
l.
,
“
Un
iv
e
rsity
S
tu
d
e
n
ts
Us
a
g
e
o
f
F
a
c
e
b
o
o
k
:
T
h
e
Ca
se
o
f
Ob
tain
e
d
G
ra
ti
f
ica
ti
o
n
s
a
n
d
Ty
p
o
lo
g
y
o
f
Its
Us
e
rs,”
J
o
u
rn
a
l
o
f
M
a
n
a
g
e
me
n
t
a
n
d
S
tra
te
g
y
,
v
o
l.
8
,
n
o
.
5
,
p
p
.
30
-
47
,
2
0
1
7
.
[2
5
]
Ra
jan
,
A
.
P
a
p
p
u
,
a
n
d
S
.
P
.
V
icto
r,
"
Web
se
n
ti
m
e
n
t
a
n
a
l
y
sis
f
o
r
s
c
o
rin
g
p
o
si
ti
v
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o
r
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e
g
a
ti
v
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w
o
rd
s
u
sin
g
Tw
e
e
t
e
r
da
ta,
"
In
ter
n
a
ti
o
n
a
l
J
o
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rn
a
l
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f
C
o
mp
u
ter
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p
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s
,
v
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.
6
p
p
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7
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1
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.
[2
6
]
He
,
Yu
lan
,
a
n
d
De
y
u
Zh
o
u
,
"
S
e
lf
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train
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ro
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In
fo
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Pro
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&
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a
n
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me
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l.
4
7
,
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o
.
4
,
p
p
.
6
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6
-
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6
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0
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1
.
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