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T
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m
m
u
n
it
y
o
f
UI
N
Su
n
an
Am
p
el
S
u
r
ab
a
y
a
[
14]
.
B
y
u
tili
zi
n
g
a
lex
ico
n
-
b
ased
s
e
n
ti
m
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t a
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al
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is
ap
p
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ac
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co
m
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i
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ed
w
it
h
I
n
d
o
n
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x
t p
r
ep
r
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s
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h
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es
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s
in
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t
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astra
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i
lib
r
ar
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th
e
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esear
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d
ev
elo
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s
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au
to
m
ated
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p
ab
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f
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s
en
t
i
m
en
t
in
s
o
cial
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m
e
n
t
s
[
15]
.
T
h
e
s
y
s
te
m
is
i
m
p
le
m
en
ted
t
h
r
o
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g
h
a
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ty
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p
licatio
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is
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r
elate
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to
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m
p
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s
ac
tiv
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o
n
T
ik
T
o
k
[
16]
.
A
lt
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o
u
g
h
n
u
m
er
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s
s
t
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ies
h
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e
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if
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ter
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it
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n
I
n
d
o
n
esia
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ac
ad
em
ic
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m
m
u
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itie
s
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h
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th
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atter
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h
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ad
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m
en
ts
.
2.
M
E
T
H
O
D
T
h
is
s
tu
d
y
ap
p
lies
N
L
P
tech
n
iq
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e
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al
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ze
T
ik
T
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k
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m
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atter
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r
elate
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te
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ec
h
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h
i
n
t
h
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ac
ad
e
m
ic
co
m
m
u
n
it
y
o
f
UI
N
Su
n
a
n
Am
p
el
Su
r
ab
a
y
a.
T
h
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
f
o
llo
w
s
a
s
tr
u
ctu
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ed
w
o
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k
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n
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ti
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g
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f
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ata
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llectio
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tex
t
p
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r
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ti
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s
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icatio
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,
a
n
d
p
e
r
f
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r
m
an
ce
ev
al
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atio
n
.
T
h
e
o
v
er
all
p
ip
elin
e
o
f
th
e
p
r
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p
o
s
ed
s
y
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te
m
is
ill
u
s
tr
ated
in
Fi
g
u
r
e
1
.
Fig
u
r
e
1
.
Ov
er
all
w
o
r
k
f
lo
w
o
f
th
e
p
r
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p
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s
ed
T
ik
T
o
k
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en
ti
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e
n
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s
y
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te
m
,
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n
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d
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g
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ata
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llectio
n
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in
g
,
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e
n
ti
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en
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ex
tB
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,
an
d
r
esu
l
t sto
r
ag
e
an
d
v
i
s
u
aliza
tio
n
2
.
1
.
Da
t
a
c
o
llect
io
n
T
h
e
d
ataset
u
s
ed
in
th
is
s
t
u
d
y
co
n
s
is
ts
o
f
1
0
,
0
0
0
T
ik
T
o
k
co
m
m
en
t
s
co
llected
f
r
o
m
v
id
eo
s
ass
o
ciate
d
w
it
h
th
e
h
as
h
ta
g
#
P
B
A
KUI
N
S
A
2
0
2
3
,
w
h
ic
h
r
elate
s
to
ca
m
p
u
s
o
r
ien
tatio
n
ac
ti
v
itie
s
at
UI
N
S
u
n
a
n
Am
p
el
Su
r
ab
a
y
a.
T
h
e
d
ata
w
er
e
r
et
r
iev
ed
u
s
in
g
th
e
T
ik
T
o
k
A
p
i
P
y
t
h
o
n
lib
r
ar
y
,
f
o
cu
s
in
g
o
n
p
u
b
licl
y
av
a
ilab
le
co
m
m
e
n
t
s
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ted
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y
u
s
er
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v
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eo
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co
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tai
n
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e
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ash
tag
.
T
h
e
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llected
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m
m
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e
p
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m
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itte
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n
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o
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f
o
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ex
p
r
es
s
io
n
s
,
ab
b
r
ev
iatio
n
s
,
s
lan
g
,
a
n
d
m
i
x
ed
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la
n
g
u
a
g
e
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s
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g
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co
m
m
o
n
l
y
f
o
u
n
d
i
n
s
o
cial
m
ed
ia
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m
m
u
n
ica
tio
n
.
T
h
ese
ch
ar
ac
ter
is
tic
s
m
a
k
e
s
o
cial
m
ed
ia
te
x
t
p
ar
ticu
lar
l
y
c
h
alle
n
g
in
g
f
o
r
au
to
m
ated
a
n
al
y
s
i
s
.
Fro
m
t
h
e
co
llected
d
ataset,
8
,
0
0
0
c
o
m
m
en
ts
w
er
e
u
s
ed
f
o
r
tr
ain
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n
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r
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es
an
d
2
,
0
0
0
co
m
m
e
n
t
s
w
er
e
u
s
ed
f
o
r
test
in
g
in
o
r
d
er
to
ev
al
u
ate
t
h
e
p
er
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r
m
a
n
ce
o
f
th
e
s
en
ti
m
e
n
t
cla
s
s
i
f
icatio
n
s
y
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te
m
.
T
h
is
d
ata
p
ar
titi
o
n
allo
w
s
th
e
p
r
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p
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s
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ap
p
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h
to
b
e
ass
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u
n
s
ee
n
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ata
an
d
en
s
u
r
es a
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o
r
e
r
eliab
le
ev
alu
a
tio
n
o
f
cla
s
s
i
f
icat
io
n
p
er
f
o
r
m
a
n
ce
.
2
.
2
.
Da
t
a
p
re
pro
ce
s
s
ing
P
r
i
o
r
to
p
e
r
f
o
r
m
i
n
g
s
e
n
ti
m
e
n
t
an
al
y
s
i
s
,
t
h
e
te
x
t
u
al
d
ata
u
n
d
er
g
o
s
e
v
er
al
p
r
ep
r
o
ce
s
s
in
g
s
tag
e
s
i
n
o
r
d
er
to
im
p
r
o
v
e
d
ata
q
u
alit
y
an
d
r
ed
u
ce
n
o
is
e
in
t
h
e
d
ata
s
et.
T
ex
t
o
b
tain
ed
f
r
o
m
s
o
cia
l
m
ed
ia
p
lat
f
o
r
m
s
o
f
ten
co
n
tai
n
s
ir
r
eg
u
lar
s
en
t
en
ce
s
tr
u
ct
u
r
es,
in
f
o
r
m
al
ex
p
r
ess
io
n
s
,
ab
b
r
ev
iatio
n
s
,
s
la
n
g
,
an
d
u
n
n
ec
ess
ar
y
Evaluation Warning : The document was created with Spire.PDF for Python.
T
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1159
s
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is
[
17]
.
T
h
ese
s
tep
s
i
n
cl
u
d
e
to
k
e
n
izati
o
n
,
w
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w
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s
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ican
tl
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ib
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te
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t
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ter
p
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etatio
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;
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o
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w
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p
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f
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u
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tr
a
w
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ar
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w
h
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s
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d
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g
u
ag
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p
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ce
s
s
i
n
g
.
2
.
3
.
Senti
m
ent
a
na
ly
s
is
Sen
ti
m
e
n
t
clas
s
if
icatio
n
i
n
th
i
s
s
tu
d
y
i
s
p
er
f
o
r
m
ed
u
s
i
n
g
th
e
T
ex
tB
lo
b
lib
r
ar
y
,
w
h
ich
i
m
p
le
m
en
t
s
a
lex
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-
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ased
s
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i
m
e
n
t
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al
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s
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s
ap
p
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h
.
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n
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ea
ch
w
o
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d
in
th
e
tex
t
is
ass
i
g
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a
s
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m
e
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r
e
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ased
o
n
a
p
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s
en
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ico
n
.
Neg
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a
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tial
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f
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-
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s
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co
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m
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ts
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tiv
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co
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[
18]
.
T
h
e
p
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lar
ity
s
co
r
e
r
e
p
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esen
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th
e
s
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d
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−1
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tr
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en
t
[
19]
.
Ma
th
e
m
atica
ll
y
,
t
h
e
p
o
lar
it
y
v
a
l
u
e
o
f
a
s
e
n
te
n
ce
ca
n
b
e
r
ep
r
esen
t
ed
as
th
e
a
v
er
a
g
e
s
en
ti
m
e
n
t sco
r
e
o
f
all
w
o
r
d
s
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n
tain
ed
i
n
th
e
te
x
t,
ex
p
r
es
s
ed
as:
=
∑
=
1
(
1
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w
h
er
e:
−
r
ep
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esen
ts
th
e
p
o
lar
it
y
s
co
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e
o
f
a
s
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er
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t o
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m
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t s
co
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f
all
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r
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icate
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icate
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s
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ate
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e
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ts
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o
ev
alu
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er
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o
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an
ce
o
f
th
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p
r
o
p
o
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ed
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en
ti
m
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n
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an
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te
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ik
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ai
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h
e
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alu
at
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m
s
to
m
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s
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th
e
ef
f
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o
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th
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ti
m
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f
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tio
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r
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id
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tify
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e
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ti
m
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n
t
p
o
lar
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y
in
s
o
cial
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ed
ia
co
m
m
e
n
t
s
.
Se
v
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s
ta
n
d
ar
d
p
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f
o
r
m
a
n
ce
m
etr
ic
s
w
er
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u
s
ed
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es
s
t
h
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clas
s
i
f
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lts
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cl
u
d
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g
ac
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r
ac
y
,
p
r
ec
is
io
n
,
r
ec
all,
an
d
F1
-
s
co
r
e.
T
h
ese
m
e
tr
ics
p
r
o
v
id
e
a
co
m
p
r
eh
e
n
s
iv
e
e
v
al
u
at
io
n
o
f
t
h
e
m
o
d
el
’
s
ab
ilit
y
to
co
r
r
ec
tl
y
clas
s
i
f
y
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e
n
ti
m
en
t
p
o
lar
it
y
a
n
d
d
etec
t
h
a
te
s
p
ee
ch
-
r
elate
d
e
x
p
r
ess
io
n
s
w
it
h
i
n
t
h
e
d
ata
s
et
.
A
cc
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r
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y
m
ea
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r
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s
t
h
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p
r
o
p
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r
tio
n
o
f
co
r
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tl
y
c
lass
if
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in
s
tan
ce
s
a
m
o
n
g
all
ev
a
lu
at
ed
s
a
m
p
les
[
20]
.
I
t
r
ef
lects t
h
e
o
v
er
all
co
r
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tn
es
s
o
f
th
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s
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f
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y
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te
m
a
n
d
is
d
ef
i
n
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as:
=
+
+
+
+
(
2
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w
h
er
e
tr
u
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p
o
s
it
iv
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(
TP
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r
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ts
co
r
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o
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n
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u
e
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v
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s
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p
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m
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all
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r
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ta
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t
in
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t p
r
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ictio
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s
an
d
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=
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3
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R
ec
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4
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T
h
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F1
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ar
m
o
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m
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I
t is e
x
p
r
ess
ed
as:
1
=
2
×
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(
5
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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a
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21]
.
T
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is
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esen
tatio
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allo
w
s
f
o
r
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B
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f
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ass
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f
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n
er
r
o
r
s
.
2
.
4
.
Senti
m
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c
la
s
s
if
ica
t
io
n
Af
ter
o
b
tain
i
n
g
t
h
e
p
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lar
it
y
s
co
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f
r
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t
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n
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s
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in
to
o
n
e
o
f
th
r
ee
s
e
n
ti
m
e
n
t
c
ateg
o
r
ies:
p
o
s
iti
v
e,
n
e
u
tr
al,
o
r
n
eg
at
iv
e.
T
h
e
clas
s
i
f
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s
d
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m
i
n
ed
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ased
o
n
th
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p
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b
tain
e
d
f
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m
th
e
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ex
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b
an
al
y
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i
s
.
T
h
e
s
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ti
m
e
n
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s
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u
n
ctio
n
ca
n
b
e
d
ef
in
ed
as:
(
)
=
{
,
>
0
.
=
0
,
<
0
}
(
6
)
w
h
er
e
r
ep
r
esen
ts
t
h
e
p
o
lar
it
y
s
co
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e
o
f
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al
y
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d
co
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m
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n
t.
T
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r
o
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g
h
t
h
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s
clas
s
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m
ec
h
an
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s
m
,
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T
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T
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en
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is
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s
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e
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h
e
class
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f
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r
esu
lt
s
ar
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en
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g
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e
g
ated
to
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th
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d
is
t
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ib
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tio
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is
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s
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s
r
elate
d
to
th
e
h
as
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ta
g
#
P
B
A
KUI
NS
A2
0
2
3
.
T
h
is
en
ab
les
t
h
e
id
en
t
if
i
ca
tio
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f
s
e
n
ti
m
e
n
t p
atter
n
s
with
i
n
th
e
d
ata
s
et.
2
.
5
.
Resul
t
s
t
o
ra
g
e
a
nd
v
is
u
a
liza
t
io
n
Af
ter
th
e
s
e
n
ti
m
en
t
clas
s
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f
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atio
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p
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ce
s
s
is
co
m
p
leted
,
th
e
r
esu
lt
s
ar
e
s
to
r
ed
an
d
v
is
u
alize
d
to
f
ac
ilit
ate
in
ter
p
r
etatio
n
o
f
th
e
s
en
ti
m
e
n
t
d
is
tr
ib
u
tio
n
.
E
ac
h
an
al
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d
co
m
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to
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a
C
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tain
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s
co
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s
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b
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c
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e,
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d
s
en
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p
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ti
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ap
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f
s
en
ti
m
en
t
tr
en
d
s
in
T
ik
T
o
k
d
is
cu
s
s
io
n
s
an
d
en
ab
les
ea
s
ier
in
ter
p
r
etatio
n
o
f
th
e
r
e
s
u
l
ts
b
y
r
e
s
ea
r
ch
e
r
s
a
n
d
s
ta
k
eh
o
ld
er
s
.
F
u
r
t
h
er
m
o
r
e,
g
r
ap
h
ica
l
v
is
u
aliza
t
io
n
allo
w
s
th
e
id
en
ti
f
icatio
n
o
f
d
o
m
i
n
a
n
t
s
en
t
i
m
e
n
t
p
atter
n
s
an
d
p
o
ten
tial
in
d
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r
s
o
f
h
ar
m
f
u
l
o
r
n
eg
at
iv
e
o
n
lin
e
i
n
ter
ac
tio
n
s
with
i
n
th
e
ac
ad
e
m
ic
d
ig
i
tal
en
v
i
r
o
n
m
e
n
t.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
is
s
ec
tio
n
p
r
esen
ts
t
h
e
r
esu
lt
s
o
b
tain
ed
f
r
o
m
th
e
i
m
p
le
m
e
n
tatio
n
o
f
t
h
e
p
r
o
p
o
s
ed
s
en
ti
m
en
t
an
al
y
s
is
s
y
s
te
m
an
d
d
is
c
u
s
s
e
s
t
h
e
p
er
f
o
r
m
a
n
ce
o
f
t
h
e
m
o
d
el
in
a
n
al
y
zin
g
T
ik
T
o
k
co
m
m
en
ts
.
T
h
e
r
es
u
lt
s
in
cl
u
d
e
th
e
ap
p
licatio
n
i
m
p
le
m
en
tatio
n
,
s
en
ti
m
e
n
t
c
lass
if
ic
ati
o
n
p
er
f
o
r
m
a
n
ce
,
s
e
n
ti
m
e
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t
an
al
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s
is
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tco
m
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d
in
ter
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s
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t
i
m
e
n
t p
atter
n
s
f
o
u
n
d
i
n
th
e
d
atase
t.
3
.
1
.
Appl
ica
t
io
n
i
m
ple
m
ent
a
t
io
n a
nd
k
ey
f
ea
t
ures
T
h
e
UI
NSA
Se
n
ti
m
e
n
t
T
r
ac
k
er
ap
p
licatio
n
w
as
d
ev
e
lo
p
ed
to
an
al
y
ze
s
e
n
ti
m
e
n
t
f
r
o
m
T
ik
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co
m
m
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t
s
a
s
s
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ciate
d
w
it
h
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p
ec
if
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h
a
s
h
tag
s
.
T
h
e
ap
p
licatio
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w
as
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m
p
le
m
en
ted
u
s
i
n
g
th
e
P
y
t
h
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n
p
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g
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m
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la
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g
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a
g
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h
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cia
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e
n
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m
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a
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al
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is
.
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g
h
t
h
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ter
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ac
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s
er
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ca
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ated
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co
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ts
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h
e
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te
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t
h
en
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s
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th
e
co
llected
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t
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n
ti
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al
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s
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p
r
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ts
th
e
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lt
s
i
n
b
o
th
n
u
m
er
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an
d
g
r
ap
h
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f
o
r
m
a
ts
.
F
ig
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r
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2
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s
tr
ates
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s
er
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n
ter
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s
in
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ter
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as i
n
Fi
g
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2
(
b
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.
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tili
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h
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ased
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Sas
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T
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t p
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ates
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ates
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[
23]
–
[
27]
.
Vis
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T
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o
d
els,
e
x
p
an
d
i
n
g
d
a
tasets
,
a
n
d
i
m
p
r
o
v
i
n
g
p
r
ep
r
o
ce
s
s
in
g
tech
n
iq
u
e
s
to
b
etter
h
an
d
le
s
lan
g
,
s
ar
ca
s
m
,
an
d
co
n
te
x
t
u
al
lan
g
u
a
g
e.
I
n
ad
d
itio
n
,
m
u
lti
m
o
d
al
an
al
y
s
is
,
w
h
ic
h
co
m
b
in
e
s
tex
t
u
al,
v
i
s
u
al,
an
d
au
d
io
in
f
o
r
m
atio
n
,
m
a
y
p
r
o
v
id
e
m
o
r
e
co
m
p
r
e
h
en
s
iv
e
in
s
i
g
h
ts
i
n
to
s
o
cial
m
ed
ia
co
m
m
u
n
icatio
n
d
y
n
a
m
ic
s
[
29]
.
Ov
er
all,
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
d
em
o
n
s
tr
ate
s
t
h
e
p
o
ten
tial
o
f
NL
P
-
b
ased
ap
p
r
o
ac
h
es
f
o
r
m
o
n
ito
r
in
g
s
e
n
ti
m
e
n
t
p
atter
n
s
i
n
T
ik
T
o
k
co
m
m
e
n
t
s
.
A
lt
h
o
u
g
h
t
h
e
cu
r
r
en
t
s
y
s
te
m
h
as
ce
r
tai
n
li
m
itat
io
n
s
,
t
h
e
f
i
n
d
in
g
s
p
r
o
v
id
e
a
u
s
e
f
u
l
f
o
u
n
d
atio
n
f
o
r
d
ev
elo
p
in
g
au
to
m
ated
to
o
ls
t
h
at
s
u
p
p
o
r
t
d
ig
ital
s
a
f
et
y
a
n
d
r
esp
o
n
s
i
b
le
s
o
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ed
ia
en
g
ag
e
m
e
n
t
w
it
h
i
n
ac
ad
e
m
ic
co
m
m
u
n
itie
s
[
30]
.
4.
CO
NCLU
SI
O
N
T
h
is
s
t
u
d
y
d
e
v
elo
p
ed
a
NL
P
-
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ased
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te
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to
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al
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ti
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etec
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ate
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atter
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in
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ik
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o
k
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m
m
e
n
ts
ass
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ciate
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w
it
h
th
e
h
a
s
h
t
ag
#
P
B
A
KUI
NS
A
2
0
2
3
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
in
te
g
r
ates
T
ik
T
o
k
d
ata
r
etr
ie
v
al,
I
n
d
o
n
esia
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te
x
t
p
r
ep
r
o
ce
s
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n
g
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s
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n
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th
e
Sa
s
tr
a
w
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lib
r
ar
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n
d
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e
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al
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is
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s
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ex
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m
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ticall
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lass
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u
s
er
co
m
m
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ts
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h
e
e
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tio
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lts
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o
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t
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r
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icatin
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eliab
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ce
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.
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h
e
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aly
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r
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ls
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at
m
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al,
wh
ile
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ly
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ied
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e
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ate
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ased
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m
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n
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t
h
in
ac
ad
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m
ic
co
m
m
u
n
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ties
.
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u
tu
r
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f
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m
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ce
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co
r
p
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atin
g
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an
s
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ased
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e
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p
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d
in
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ataset
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etter
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p
tu
r
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lin
g
u
i
s
tic
v
ar
iatio
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s
i
n
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ed
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ten
t.
F
UNDIN
G
I
NF
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T
h
is
r
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w
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p
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ted
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esear
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g
r
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t
u
n
d
er
th
e
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atio
n
al
S
tr
ateg
ic
St
u
d
y
R
esear
ch
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lu
s
ter
f
r
o
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u
n
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n
Am
p
el
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u
r
ab
a
y
a,
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id
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f
u
n
d
in
g
a
n
d
f
ac
ili
ties
f
o
r
th
is
s
tu
d
y
.
RE
F
E
R
E
NC
E
S
[
1]
E.
A
ï
me
u
r
,
S
.
A
mr
i
,
a
n
d
G
.
B
r
a
ssar
d
,
“
F
a
k
e
n
e
w
s,
d
i
si
n
f
o
r
mat
i
o
n
a
n
d
mi
s
i
n
f
o
r
mat
i
o
n
i
n
so
c
i
a
l
me
d
i
a
:
a
r
e
v
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e
w
,
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S
o
c
i
a
l
N
e
t
w
o
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k
An
a
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s
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n
d
M
i
n
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n
g
,
v
o
l
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1
3
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o
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,
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3
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i
:
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7
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s
1
3
2
7
8
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0
2
3
-
0
1
0
2
8
-
5.
[
2]
R
.
L
e
v
y
,
“
S
o
c
i
a
l
M
e
d
i
a
,
N
e
w
s
C
o
n
su
mp
t
i
o
n
,
a
n
d
P
o
l
a
r
i
z
a
t
i
o
n
:
Ev
i
d
e
n
c
e
f
r
o
m
a
F
i
e
l
d
Ex
p
e
r
i
me
n
t
,
”
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e
r
i
c
a
n
E
c
o
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o
m
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c
R
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l
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1
,
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o
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,
p
p
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–
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o
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:
1
0
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2
5
7
/
A
ER
.
2
0
1
9
1
7
7
7
.
[
3]
A
.
G
h
e
r
man
d
i
e
t
a
l
.
,
“
S
o
c
i
a
l
me
d
i
a
d
a
t
a
f
o
r
e
n
v
i
r
o
n
me
n
t
a
l
su
st
a
i
n
a
b
i
l
i
t
y
:
A
c
r
i
t
i
c
a
l
r
e
v
i
e
w
o
f
o
p
p
o
r
t
u
n
i
t
i
e
s,
t
h
r
e
a
t
s,
a
n
d
e
t
h
i
c
a
l
u
se
,
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n
e
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r
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h
,
v
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.
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o
.
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p
p
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3
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5
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0
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3
,
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o
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/
j
.
o
n
e
e
a
r
.
2
0
2
3
.
0
2
.
0
0
8
.
[
4]
A
.
M
a
t
a
mo
r
o
s
-
F
e
r
n
á
n
d
e
z
a
n
d
J.
F
a
r
k
a
s,
“
R
a
c
i
sm
,
H
a
t
e
S
p
e
e
c
h
,
a
n
d
S
o
c
i
a
l
M
e
d
i
a
:
A
S
y
st
e
mat
i
c
R
e
v
i
e
w
a
n
d
C
r
i
t
i
q
u
e
,
”
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e
l
e
v
i
s
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o
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a
n
d
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e
w
Me
d
i
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,
v
o
l
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,
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o
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,
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p
.
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0
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–
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2
4
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0
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1
,
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o
i
:
1
0
.
1
1
7
7
/
1
5
2
7
4
7
6
4
2
0
9
8
2
2
3
0
.
[
5]
M
.
S
u
b
r
a
ma
n
i
a
n
,
V
.
E
a
sw
a
r
a
mo
o
r
t
h
y
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a
t
h
i
sk
u
m
a
r
,
G
.
D
e
e
p
a
l
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k
sh
m
i
,
J
.
C
h
o
,
a
n
d
G
.
M
a
n
i
k
a
n
d
a
n
,
“
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su
r
v
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o
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a
t
e
sp
e
e
c
h
d
e
t
e
c
t
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o
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n
d
se
n
t
i
me
n
t
a
n
a
l
y
si
s
u
si
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mac
h
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n
e
l
e
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r
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n
g
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n
d
d
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p
l
e
a
r
n
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n
g
mo
d
e
l
s,”
A
l
e
x
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n
d
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a
E
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g
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e
r
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o
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,
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l
.
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,
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p
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6
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j
.
a
e
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.
2
0
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3
.
0
8
.
0
3
8
.
[
6]
S
.
B
a
z
z
a
z
A
b
k
e
n
a
r
,
M
.
H
a
g
h
i
K
a
sh
a
n
i
,
E.
M
a
h
d
i
p
o
u
r
,
a
n
d
S
.
M
.
Jame
i
i
,
“
B
i
g
d
a
t
a
a
n
a
l
y
t
i
c
s
me
e
t
s
so
c
i
a
l
me
d
i
a
:
A
s
y
st
e
mat
i
c
r
e
v
i
e
w
o
f
t
e
c
h
n
i
q
u
e
s,
o
p
e
n
i
ss
u
e
s,
a
n
d
f
u
t
u
r
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d
i
r
e
c
t
i
o
n
s,
”
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e
l
e
m
a
t
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c
s
a
n
d
I
n
f
o
rm
a
t
i
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s
,
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o
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j
.
t
e
l
e
.
2
0
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0
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1
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1
5
1
7
.
[
7]
N
.
H
a
sa
n
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t
i
,
M
.
E.
I
b
r
a
h
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m,
Q
.
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,
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R
u
s
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n
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Z
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o
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o
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e
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e
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t
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me
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t
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s
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n
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T
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o
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t
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e
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n
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0
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4
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2
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n
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.
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.
[
8]
M
.
M
h
a
l
l
a
,
J.
Y
u
n
,
a
n
d
A
.
N
a
si
r
i
,
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V
i
d
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o
-
S
h
a
r
i
n
g
A
p
p
s
B
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si
n
e
ss
M
o
d
e
l
s:
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i
k
T
o
k
C
a
se
S
t
u
d
y
,
”
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n
t
e
r
n
a
t
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o
n
a
l
J
o
u
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a
l
o
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I
n
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o
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t
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n
a
n
d
T
e
c
h
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o
l
o
g
y
Ma
n
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g
e
m
e
n
t
,
v
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l
.
1
7
,
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24]
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Evaluation Warning : The document was created with Spire.PDF for Python.