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21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
Contributor(s): Russell, Matthew (Author)
ISBN: 1449303161     ISBN-13: 9781449303167
Publisher: O'Reilly Media
OUR PRICE:   $28.49  
Product Type: Paperback - Other Formats
Published: April 2011
Qty:
Additional Information
BISAC Categories:
- Computers | Data Modeling & Design
- Computers | Databases - Data Mining
- Computers | Web - Social Media
Dewey: 006.312
Physical Information: 0.2" H x 9" W x 6.9" (0.30 lbs) 72 pages
 
Descriptions, Reviews, Etc.
Publisher 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.

Contributor Bio(s): Russell, Matthew A.: -

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).