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21 Recipes for Mining Twitter
by Matthew A. RussellView All Available Formats & Editions
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
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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.
Product Details
- ISBN-13:
- 9781449303167
- Publisher:
- O'Reilly Media, Incorporated
- Publication date:
- 03/07/2011
- Pages:
- 72
- Product dimensions:
- 6.90(w) x 9.00(h) x 0.30(d)
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