21 Recipes for Mining Twitter

Distilling Rich Information from Messy Data

Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design
Cover of the book 21 Recipes for Mining Twitter by Matthew A. Russell, O'Reilly Media
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Author: Matthew A. Russell ISBN: 9781449303853
Publisher: O'Reilly Media Publication: February 1, 2011
Imprint: O'Reilly Media Language: English
Author: Matthew A. Russell
ISBN: 9781449303853
Publisher: O'Reilly Media
Publication: February 1, 2011
Imprint: O'Reilly Media
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

This book is a perfect companion to O’Reilly's Mining the Social Web.

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