21 Recipes for Mining Twitter

21 Recipes for Mining Twitter

By: Matthew A. Russell (author)Paperback

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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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About 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).

Product Details

  • publication date: 22/03/2011
  • ISBN13: 9781449303167
  • Format: Paperback
  • Number Of Pages: 76
  • ID: 9781449303167
  • weight: 137
  • ISBN10: 1449303161

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