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21 Recipes for Mining Twitter

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Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to:

  • Use OAuth to access Twitter data
  • Create and analyze graphs of retweet relationships
  • Use the streaming API to harvest tweets in realtime
  • Harvest and analyze friends and followers
  • Discover friendship cliques
  • Summarize webpages from short URLs

This book is a perfect companion to O’Reilly's Mining the Social Web .

Author(s): Matthew A. Russell
Edition: 1
Publisher: O'Reilly Media
Year: 2011

Language: English
Pages: 71

Table of Contents......Page 6
Introduction......Page 8
Using Code Examples......Page 9
How to Contact Us......Page 10
Discussion......Page 12
Discussion......Page 14
Discussion......Page 16
Discussion......Page 18
Solution......Page 21
Discussion......Page 22
Discussion......Page 24
Discussion......Page 26
Discussion......Page 31
Problem......Page 33
Discussion......Page 34
See Also......Page 35
Discussion......Page 36
Discussion......Page 40
See Also......Page 44
Discussion......Page 45
Solution......Page 48
Discussion......Page 49
Discussion......Page 50
Discussion......Page 54
Problem......Page 56
Discussion......Page 57
Discussion......Page 59
Discussion......Page 61
Discussion......Page 63
Discussion......Page 65
Discussion......Page 69