Your SlideShare is downloading. ×
0
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Data Mining the Social Web
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Data Mining the Social Web

883

Published on

ESUG 2011, Edinburgh

ESUG 2011, Edinburgh

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
883
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
5
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Data  Mining  The  Social  Web   By  Gary  Short   Developer  Evangelist   Developer  Express  
  • 2. Introduc>on  •  Gary  Short  •  Developer  Evangelist  •  gary@garyshort.org    •  garys@devexpress.com  •  www.garyshort.org  •  @twiCer  
  • 3. What  About  You  Guys?  
  • 4. Why  Bother  Data  Mining  The  Social  Web?  
  • 5. How  do  we  Data  Mine  The  Social  Web?   Public  API   Data  Store   Analysis   Visualise   Beyond   Visualisa>on  
  • 6. My  Set  UP  Public  API   cUrl  to  file   Preprocessing   Store  to   CouchDB   Analysis  &   Visualisa>on  
  • 7. Today’s  Sample  •  ~6,000  tweets  •  Men>on   –  Apple   –  Google   –  MicrosoS  •  Doesn’t  include  last  night’s  announcement  J  
  • 8. Lexical  Diversity  
  • 9. Compe>>ve  Analysis  
  • 10. Lexical  Diversity  by  Brand  
  • 11. Top  10  Popular  Words  
  • 12. Top  10  Posters  by  Volume  
  • 13. Propor>on  Of  Geo  Coded  Tweets  
  • 14. Ques>ons  •  gary@garyshort.org  •  garys@devexpress.com  •  @twiCer  

×