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

by Matthew A. Russell

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

Use OAuth to access Twitter dataCreate and analyze graphs of retweet relationshipsUse the streaming API to harvest tweets in realtimeHarvest and analyze friends and followersDiscover friendship cliquesSummarize webpages from short URLsThis book is a perfect companion to O’Reilly's Mining the Social Web.

Genres: Technology

72 pages, Kindle Edition

First published January 1, 2011

Reviews

[Tami · Rating 4 out of 5]

There’s a lot of very useful information on Twitter. Not only information related to your area of expertise and a window into what your customers need and want from your products but also important details about who your potential customers are as well as trends, patterns, and cycles that may directly or indirectly affect your business.

There are two main issues when using Twitter for business: volume and organization. Essentially, how can you quickly and efficiently sift through thousands of tweets each day to locate those hidden gems and then how can you best organize this raw data to gleam insight that could help your business performance.

There are a growing number of Twitter apps out there. A lot are still focusing on the searching and collecting of particular topics, mostly for social usage. 21 Recipes for Mining Twitter focuses on apps that would be useful for business purposes: mining that data and analyzing it. As the title suggests, it is a recipe book with potential Twitter data uses and the basic code to solve the problem. Assuming you’re familiar with programming, you can then play with and manipulate the code to better suit your specific needs. Invaluable custom apps, or at least a good solid start in doing so.

[Sapan Patel · Rating 3 out of 5]

Simple read helping understand and use twitter API using Python !!