การประยุกต์ใช้ Social Media ผลงานวิจัยพัฒนาโดยเนคเทค S-Sence

1. Alisa
Kongthon,
Ph.D.
Speech
and
Audio
Technology
Laboratory
National
Electronics
and
Computer
Technology
Center

2. Source:
zocialrank.com
2

3. !
A
tool
to
help
companies
determine
what
is
being
said
about
their
brand,
product
or
service
on
social
media
Social
Media
Analysis
Metrics
Convert
unstructured
information
from
user
generated
content
into
meaningful
consumer
understanding
Number
of
comments
or
posts
Sentiment
!
Volume
Overall
tone,
polarity
to
brand,
product
Topics
Features
and
words
associated
with
brand
Influence
Ability
of
individual
to
create
buzz
3

4. ! Thai
Natural
Language
Processing
! Word
segmentation
! Word
normalization
! Text
Mining
! Feature
word
extraction
! Topic
filtering/classification
! Sentiment
Analysis
4

5. 5

6. Input:
Social media, Webboard, Reviews
Analyses:
• Keyword analysis
• Intention analysis
• Sentiment analysis
• Language usage analysis
Display and Report:
• Graph, Chart or Tag Cloud
• Interactive Dashboard
• Adaptive Emoticon
6

7. Interactive Dashboard
7

8. Interactive Dashboard
8

9. 9

10. 10

11. 11

13. Social
Media
for
Emergency
Response
http://mashable.com/2011/02/11/social-­‐media-­‐in-­‐emergencies/
13

14. ! The
2011
flood
(July
–
December
2011)
has
been
described
as
the
country’s
worst
disaster
in
recent
history
! The
World
Bank
estimated
total
economic
damage
to
be
approximately
$45
billion
! The
National
Social
and
Economic
Development
Board
reduced
Thailand’s
economic
growth
forecast
from
3.5-­‐4%
to
1.5%
14

15. Source:www.ZocialRank.com
15

16. 16

17. ! Retrieved
175,551
Tweets
(from
23/10/2011
to
17/12/2011)
using
the
keyword
‘#thaiflood’
! After
removing
“Retweets”
and
duplicates,
our
data
set
contained
64,582
unique
Tweets
17

18. ! Situational
announcements
and
alerts
! up-­‐to-­‐date
situational
and
location-­‐based
information
related
to
the
flood
such
as
water
levels,
traffic
conditions
and
road
conditions
in
certain
areas.
In
addition,
emergency
warnings
from
authorities
advising
citizens
to
evacuate
areas,
seek
shelter
or
take
other
protective
measures
are
also
included.
! Support
announcements
! support
announcements
such
as
free
parking
availability,
free
emergency
survival
kits
distribution
and
free
consulting
services
for
home
repair.
18

19. ! Requests
for
assistance
! messages
requesting
any
types
of
assistance;
such
as
food,
water,
medical
supplies,
volunteers
or
transportation.
! Requests
for
information
! general
inquiries
related
to
the
flood
and
flood
relief
such
as
inquiries
for
telephone
numbers
of
relevant
authorities,
regarding
the
current
situation
in
specific
locations
and
about
flood
damage
compensation.
! Other
! all
other
messages,
such
as
general
comments;
complaints
and
expressions
of
opinions.
19

20. 20

21. User
ID
#Tweets
#Retweets
#Followers
Meenajah
1394
1989
97
BengoshiNadda
939
1255
512
Nonflood
703
1007
581
AeyEegg
642
859
279
LostFoundTh
607
811
285
sawetachai
499
758
1194
thaiflood
490
14272
107791
bkk24
469
1628
627
thaifloodUpdate
440
468
21
SiamArsa
420
3916
34574
21

22. User
ID
#Followers
#Tweets
#Retweets
chocoopal
314954
11
137
suthichai
232242
8
134
Kitti3Miti
209505
5
20
js100radio
191840
5
127
jjetrin
178644
3
27
Noom_Kanchai
174164
1
12
MajorGroup
139760
7
90
ThaiPBS
135618
78
857
wongthanong
134607
1
3
paloyhorwang
119119
1
1
22

23. User
ID
#Followers
#Tweets
#Retweets
thaiflood
14272
490
107791
SiamArsa
3916
420
34574
kapookdotcom
1997
302
33403
GCC_1111
1544
214
19671
ittipat_Rw
1495
178
14572
Rawangpai
1339
83
84955
Pat_ThaiPBS
1137
326
8742
KBank_Live
972
76
63819
iwhale
966
77
34584
ThaiPBS
857
78
135618
23

24. ! Ranking
the
users
based
on
the
number
of
Retweets
can
help
identify
the
perceived
credibility
of
the
influencers
! With
this
list
of
influential
Twitter
users,
citizens
can
choose
which
sources
of
information
they
would
follow
during
the
natural
disaster;
in
order
to
obtain
the
most
relevant,
up-­‐to-­‐date,
and
credible
information
24

25. ! Fast
dissemination
of
information
to
large
groups
! Interactive
! Access
through
mobile
devices
! Growing
natural
proclivity
25

26. ! Aggregation
(lots
of
tiny
pieces!)
! Anomaly
detection
(what
isn’t
just
noise?)
! Accurate
information
(vs.
outdated,
inaccurate,
and
false
information)
! Malicious
use
of
social
media
during
disasters
26

27. ! Language
Analysis
and
Text
Mining
! Blog
Analysis
! Comparison
detection
! Sarcasm
detection
! Rumor
detection
27

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