Alisa	
  Kongthon,	
  Ph.D.	
  
Speech	
  and	
  Audio	
  Technology	
  Laboratory	
  
National	
  Electronics	
  and	
  C...
Source:	
  zocialrank.com	
  

2	
  
! 

A	
  tool	
  to	
  help	
  
companies	
  determine	
  
what	
  is	
  being	
  said	
  about	
  
their	
  brand,	
  pro...
!  Thai	
  Natural	
  Language	
  Processing	
  
!  Word	
  segmentation	
  
!  Word	
  normalization	
  	
  

!  Text	
  ...
5	
  
Input: 
Social media, Webboard, Reviews

Analyses:
• Keyword analysis
• Intention analysis
• Sentiment analysis
• Language...
Interactive Dashboard

7	
  
Interactive Dashboard

8	
  
9	
  
10	
  
11	
  
Social	
  Media	
  for	
  Emergency	
  Response	
  
http://mashable.com/2011/02/11/social-­‐media-­‐in-­‐emergencies/	
  
...
!  The	
  2011	
  flood	
  (July	
  –	
  December	
  2011)	
  has	
  been	
  

described	
  as	
  the	
  country’s	
  worst...
Source:www.ZocialRank.com	
  
15	
  
16	
  
!  Retrieved	
  175,551	
  Tweets	
  (from	
  23/10/2011	
  to	
  

17/12/2011)	
  using	
  the	
  keyword	
  ‘#thaiflood’	...
!  Situational	
  announcements	
  and	
  alerts	
  
!  up-­‐to-­‐date	
  situational	
  and	
  location-­‐based	
  inform...
!  Requests	
  for	
  assistance	
  
!  messages	
  requesting	
  any	
  types	
  of	
  assistance;	
  such	
  as	
  

foo...
20	
  
User	
  ID	
  

#Tweets	
  

#Retweets	
  

#Followers	
  

Meenajah	
  

1394	
  

1989	
  

97	
  

BengoshiNadda	
  

9...
User	
  ID	
  

#Followers	
  

#Tweets	
  

#Retweets	
  

chocoopal	
  

314954	
  

11	
  

137	
  

suthichai	
  

232...
User	
  ID	
  

#Followers	
  

#Tweets	
  

#Retweets	
  

thaiflood	
  

14272	
  

490	
  

107791	
  

SiamArsa	
  

39...
!  Ranking	
  the	
  users	
  based	
  on	
  the	
  number	
  of	
  

Retweets	
  can	
  help	
  identify	
  the	
  percei...
!  Fast	
  dissemination	
  of	
  information	
  to	
  large	
  

groups	
  
!  Interactive	
  
!  Access	
  through	
  mo...
!  Aggregation	
  (lots	
  of	
  tiny	
  pieces!)	
  
!  Anomaly	
  detection	
  (what	
  isn’t	
  just	
  noise?)	
  
!  ...
!  Language	
  Analysis	
  and	
  Text	
  Mining	
  
!  Blog	
  Analysis	
  
!  Comparison	
  detection	
  
!  Sarcasm	
  ...
28	
  
S-Sence : Social Media Intelligence
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S-Sence : Social Media Intelligence

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การประยุกต์ใช้ Social Media ผลงานวิจัยพัฒนาโดยเนคเทค S-Sence

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S-Sence : Social Media Intelligence

  1. 1. Alisa  Kongthon,  Ph.D.   Speech  and  Audio  Technology  Laboratory   National  Electronics  and  Computer  Technology  Center  
  2. 2. Source:  zocialrank.com   2  
  3. 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. 4. !  Thai  Natural  Language  Processing   !  Word  segmentation   !  Word  normalization     !  Text  Mining   !  Feature  word  extraction   !  Topic  filtering/classification   !  Sentiment  Analysis   4  
  5. 5. 5  
  6. 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. 7. Interactive Dashboard 7  
  8. 8. Interactive Dashboard 8  
  9. 9. 9  
  10. 10. 10  
  11. 11. 11  
  12. 12. Social  Media  for  Emergency  Response   http://mashable.com/2011/02/11/social-­‐media-­‐in-­‐emergencies/   13  
  13. 13. !  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  
  14. 14. Source:www.ZocialRank.com   15  
  15. 15. 16  
  16. 16. !  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  
  17. 17. !  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  
  18. 18. !  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  
  19. 19. 20  
  20. 20. 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  
  21. 21. 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  
  22. 22. 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  
  23. 23. !  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  
  24. 24. !  Fast  dissemination  of  information  to  large   groups   !  Interactive   !  Access  through  mobile  devices   !  Growing  natural  proclivity   25  
  25. 25. !  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  
  26. 26. !  Language  Analysis  and  Text  Mining   !  Blog  Analysis   !  Comparison  detection   !  Sarcasm  detection   !  Rumor  detection     27  
  27. 27. 28  
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