Tags
Language
Tags
December 2024
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 31 1 2 3 4

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

Posted By: DZ123
21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data

Matthew A. Russell, "21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data"
English | 2011 | ISBN: 1449303161 | EPUB | pages: 72 | 2.4 mb

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.