21 Recipes for Mining Twitter

Name: 21 Recipes for Mining Twitter
Author: Matthew Russell

Specificaties

Paperback, 60 blz. | Engels

O'Reilly | 1e druk, 2011

ISBN13: 9781449303167

Rubricering

Hoofdrubriek : Computer en informatica

Juridisch :

O'Reilly 1e druk, 2011 9781449303167

Verwachte levertijd ongeveer 16 werkdagen

34,25

In winkelwagen

Samenvatting

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.