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Data Mining the Social Web

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Gary Short introduces data mining of the social web. He explains how to access public APIs to collect tweets mentioning brands like Apple, Google, and Microsoft. Short then preprocesses and stores the tweets in CouchDB for analysis and visualization. As an example, he analyzes around 6,000 tweets to look at lexical diversity by brand, popular words, top posters, and geocoded tweets. He is available for any questions.

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Data  Mining  The  Social  Web   By  Gary  Short   Developer  Evangelist   Developer  Express  
Introduc>on   •  Gary  Short   •  Developer  Evangelist   •  gary@garyshort.org     •  garys@devexpress.com   •  www.garyshort.org   •  @twiCer  
What  About  You  Guys?  
Why  Bother  Data  Mining  The  Social  Web?  
How  do  we  Data  Mine  The  Social  Web?   Public  API   Data  Store   Analysis   Visualise   Beyond   Visualisa>on  
My  Set  UP   Public  API   cUrl  to  file   Preprocessing   Store  to   CouchDB   Analysis  &   Visualisa>on  
Today’s  Sample   •  ~6,000  tweets   •  Men>on   –  Apple   –  Google   –  MicrosoS   •  Doesn’t  include  last  night’s  announcement  J  
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  

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