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21 Recipes for Mining Twitter

Author: Matthew A. Russell

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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 real-time.
  • Harvest and analyze friends and followers.
  • Discover friendship cliques.
  • Summarize webpages from short URLs.

This book is a perfect companion to OReilly's Mining the Social Web.

Features

Author:
Matthew A. Russell
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition :
1
Leadtime to ship in days (default):
Usually Ships in 25 days
Page:
96
Publisher:
Shroff/O'Reilly
Year:
2011

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