Wow! eBook
21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
Author(s): Matthew A. Russell (Author)
- Publisher: O′Reilly
- Publication Date: 22 Mar. 2011
- Edition: Illustrated
- Language: English
- Print length: 76 pages
- ISBN-10: 1449303161
- ISBN-13: 9781449303167
Book 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.
Editorial Reviews
About the Author
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).
