21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data (Paperback) (ISBN-13: 9781449303167)

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.

Author: Matthew A. Russell
ISBN-10: 1449303161
ISBN-13: 9781449303167
Publisher: O'Reilly Media
Language: English
Published: 04/05/2011
Pages: 72
Format: Paperback
Weight: 0.30lbs
Size: 6.90h x 9.00w x 0.20d

Review Citation(s):
Reference and Research Bk News 06/01/2011 pg. 301