Data	  Mining	  The	  Social	  Web	              By	  Gary	  Short	           Developer	  Evangelist	            Developer...
Introduc>on	  •    Gary	  Short	  •    Developer	  Evangelist	  •    gary@garyshort.org	  	  •    garys@devexpress.com	  •...
What	  About	  You	  Guys?	  
Why	  Bother	  Data	  Mining	  The	  Social	  Web?	  
How	  do	  we	  Data	  Mine	  The	  Social	  Web?	             Public	  API	                                 Data	  Store	...
My	  Set	  UP	  Public	  API	                       cUrl	  to	  file	   Preprocessing	                                     ...
Today’s	  Sample	  •  ~6,000	  tweets	  •  Men>on	     –  Apple	     –  Google	     –  MicrosoS	  •  Doesn’t	  include	  l...
Lexical	  Diversity	  
Compe>>ve	  Analysis	  
Lexical	  Diversity	  by	  Brand	  
Top	  10	  Popular	  Words	  
Top	  10	  Posters	  by	  Volume	  
Propor>on	  Of	  Geo	  Coded	  Tweets	  
Ques>ons	  •  gary@garyshort.org	  •  garys@devexpress.com	  •  @twiCer	  
Data Mining the Social Web
Upcoming SlideShare
Loading in...5
×

Data Mining the Social Web

928
-1

Published on

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
928
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
6
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Data Mining the Social Web

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

    Clipping is a handy way to collect important slides you want to go back to later.

×