3/05/2011

21 Recipes for Mining Twitter - pdf

21 Recipes for Mining TwitterBook Description
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.

About the Author
Matthew Russell, Vice President of Engineering at Digital Reasoning Systems (http://www.digitalreasoning.com/) and Principal at Zaffra (http://zaffra.com), is a computer scientist who is passionate about data mining, open source, and web application technologies. He's also the author of Dojo: The Definitive Guide (O'Reilly).

Book Details

  • Paperback: 72 pages
  • Publisher: O'Reilly Media (January, 2011)
  • Language: English
  • ISBN-10: 1449303161
  • ISBN-13: 978-1449303167
  • File Size: 5.8 MiB
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