International Journal of e-Collaboration,
Journal Year:
2024,
Volume and Issue:
20(1), P. 1 - 14
Published: July 30, 2024
In
the
pattern
of
rapid
development
media
industry
characterized
by
emergence
“Internet
Plus”
era,
enterprises
are
facing
unprecedented
challenges
and
opportunities.
This
paper
discusses
influence
Internet
technology
on
industry,
strategy
business
model
innovation
to
improve
competitiveness
adapt
changing
market
demand.
Through
a
comprehensive
analysis
dynamics
content
production,
distribution
consumer
behavior,
this
study
determines
necessity
innovate
models.
By
taking
advantage
technology,
such
as
resource
integration
value
creation,
companies
can
open
up
new
ways
growth
sustainable
development.
Empirical
research
shows
that
adopt
superior
their
traditional
counterparts
in
profitability.
Finally,
provides
valuable
reference
for
stakeholders
who
seek
master
complexity
digital
age
flourish
era
Plus”.
Practice, progress, and proficiency in sustainability,
Journal Year:
2024,
Volume and Issue:
unknown, P. 39 - 58
Published: Nov. 1, 2024
In
today's
era,
school
education
has
seen
a
massive
transformation
due
to
digitalization,
which
changed
how
schools
learn,
administer,
and
engage.
However,
this
shift
amplifies
the
teacher-student
relationship
entirely
changes
educational
institutions
market
their
business
by
reshaping
current
system.
Also,
machine
learning
helps
optimize
these
strategies
analyzing
interpreting
very
large
datasets
predict
trends,
customize
marketing
campaigns,
individualize
student
engagement,
more.
By
generating
ML-driven
insights,
all
can
spot
ideal
students,
analyze
requirements,
provide
tailor-made
offerings.
Thus,
reductive
analytics
monitor
success
metrics
of
streamline
communication,
increase
enrollment
rates.
It
also
provides
insights
into
preferences,
making
promotion
more
efficient.
AI
potential
help
align
with
tech-native
generation
develop
sustainable
practices
in
future.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
20(6s), P. 188 - 197
Published: April 29, 2024
The
increasing
demand
for
wireless
multimedia
applications
has
prompted
the
need
efficient
data
transmission
strategies
that
can
adapt
to
dynamic
network
conditions
and
diverse
Quality
of
Service
(QoS)
requirements.
This
paper
analyzes
big
using
an
innovative
Adaptive
QoS-Aware
Scheduling
Algorithm
(AQOS-ASA).
proposed
algorithm
aims
optimize
by
dynamically
adjusting
scheduling
based
on
QoS
considerations
real-time
conditions.
Through
adaptive
scheduling,
ensures
high-priority
receives
optimal
treatment,
balancing
quality
preferences
set
users.
allocates
time
slots
changing
conditions,
allowing
utilization
available
bandwidth.
analyses
algorithm's
performance
in
different
scenarios
through
simulations
evaluations,
highlighting
its
effectiveness
adapting
varying
requirements
results
demonstrate
significantly
enhances
efficiency
transmission,
making
it
well-suited
with
content
environments.
findings
contribute
valuable
insights
communication
provide
a
foundation
further
advancements
algorithms
improved
Service.
Electronics,
Journal Year:
2024,
Volume and Issue:
13(11), P. 2015 - 2015
Published: May 22, 2024
In
the
research
into
semantic
sentiment
analysis,
researchers
commonly
use
some
factor
rules,
such
as
utilization
of
emotional
keywords
and
manual
definition
to
increase
accuracy.
However,
this
approach
often
requires
extensive
data
time-consuming
training,
there
is
a
need
make
system
simpler
more
efficient.
Recognizing
these
challenges,
our
paper
introduces
new
analysis
designed
be
both
higher
in
quality
The
structure
proposed
organized
several
key
phases.
Initially,
we
focus
on
which
involves
studying
emotions
psychology.
Utilizing
linguistic
resources
HowNet
Chinese
Knowledge
Information
Processing
(CKIP)
techniques,
develop
rules
that
facilitate
generation
sparse
representation
characteristics.
This
process
also
includes
constructing
dictionary.
We
can
map
back
original
vector
space
by
resolving
coefficients,
representing
two
distinct
categories.
then
calculates
error
compared
vector,
category
with
minimum
determined.
second
phase
inputting
topics
collecting
relevant
comments
from
internet
forums
gather
public
opinion
trending
topics.
final
classification,
where
assess
accuracy
classified
issues
based
training
results.
Additionally,
experimental
results
will
demonstrate
system’s
ability
identify
hot
topics,
thus
validating
classification
models.
comprehensive
ensures
streamlined
effective
for
analysis.
International Journal of e-Collaboration,
Journal Year:
2024,
Volume and Issue:
20(1), P. 1 - 14
Published: July 30, 2024
In
the
pattern
of
rapid
development
media
industry
characterized
by
emergence
“Internet
Plus”
era,
enterprises
are
facing
unprecedented
challenges
and
opportunities.
This
paper
discusses
influence
Internet
technology
on
industry,
strategy
business
model
innovation
to
improve
competitiveness
adapt
changing
market
demand.
Through
a
comprehensive
analysis
dynamics
content
production,
distribution
consumer
behavior,
this
study
determines
necessity
innovate
models.
By
taking
advantage
technology,
such
as
resource
integration
value
creation,
companies
can
open
up
new
ways
growth
sustainable
development.
Empirical
research
shows
that
adopt
superior
their
traditional
counterparts
in
profitability.
Finally,
provides
valuable
reference
for
stakeholders
who
seek
master
complexity
digital
age
flourish
era
Plus”.
