21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data

by Matthew A Russell

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Book cover for 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.
  • ISBN10 1449303161
  • ISBN13 9781449303167
  • Publish Date 5 April 2011 (first published 1 January 2011)
  • Publish Status Active
  • Out of Print 1 October 2024
  • Publish Country US
  • Imprint O'Reilly Media
  • Format Paperback (US Trade)
  • Pages 76
  • Language English