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21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data

AUTHOR Russell, Matthew A.; Russell, Matthew
PUBLISHER O'Reilly Media (04/05/2011)
PRODUCT TYPE Paperback (Paperback)
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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Product Format
Product Details
ISBN-13: 9781449303167
ISBN-10: 1449303161
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 72
Carton Quantity: 58
Product Dimensions: 9.00 x 0.20 x 6.90 inches
Weight: 0.30 pound(s)
Feature Codes: Price on Product, Illustrated
Country of Origin: US
Subject Information
BISAC Categories
Computers | Data Science - Data Modeling & Design
Computers | Data Science - Data Analytics
Computers | Internet - Social Media
Dewey Decimal: 006.312
Descriptions, Reviews, Etc.
publisher marketing

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.

Show More
Author: Russell, Matthew A.
Matthew Russell, Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons.
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Paperback