21 Recipes for Mining Twitter

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"O'Reilly Media, Inc.", Feb 8, 2011 - Computers - 60 pages
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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.


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User Review  - chsbellboy - LibraryThing

Mainly useless, as the book seems to focus exclusively on different types of questions and collection of twitter data that one can perform. It would be more useful if they showed a variety of ways to ... Read full review

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About the author (2011)

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).

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