21 Recipes for Mining Twitter Front Cover

21 Recipes for Mining Twitter

  • Length: 72 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2011-03-07
  • ISBN-10: 1449303161
  • ISBN-13: 9781449303167
  • Sales Rank: #1882688 (See Top 100 Books)
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.

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