By Matthew A. Russell
Millions of public Twitter streams harbor a wealth of knowledge, and when you mine them, you could achieve a few invaluable insights. This brief and concise booklet bargains a suite of recipes that will help you extract nuggets of Twitter info utilizing easy-to-learn Python instruments. every one recipe deals a dialogue of ways and why the answer works, so that you can fast adapt it to suit your specific wishes. The recipes comprise suggestions to:
- Use OAuth to entry Twitter data
- Create and learn graphs of retweet relationships
- Use the streaming API to reap tweets in realtime
- Harvest and study pals and followers
- Discover friendship cliques
- Summarize webpages from brief URLs
This publication is an ideal spouse to O’Reilly's Mining the Social Web.
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Extra resources for 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data by Matthew A. Russell