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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:
This book is a perfect companion to O’Reilly's Mining the Social Web.
Preface;
Introduction;
Conventions Used in This Book;
Using Code Examples;
Safari® Books Online;
How to Contact Us;
Chapter 1: The Recipes;
1.1 Using OAuth to Access Twitter APIs;
1.2 Looking Up the Trending Topics;
1.3 Extracting Tweet Entities;
1.4 Searching for Tweets;
1.5 Extracting a Retweet’s Origins;
1.6 Creating a Graph of Retweet Relationships;
1.7 Visualizing a Graph of Retweet Relationships;
1.8 Capturing Tweets in Real-time with the Streaming API;
1.9 Making Robust Twitter Requests;
1.10 Harvesting Tweets;
1.11 Creating a Tag Cloud from Tweet Entities;
1.12 Summarizing Link Targets;
1.13 Harvesting Friends and Followers;
1.14 Performing Setwise Operations on Friendship Data;
1.15 Resolving User Profile Information;
1.16 Crawling Followers to Approximate Potential Influence;
1.17 Analyzing Friendship Relationships such as Friends of Friends;
1.18 Analyzing Friendship Cliques;
1.19 Analyzing the Authors of Tweets that Appear in Search Results;
1.20 Visualizing Geodata with a Dorling Cartogram;
1.21 Geocoding Locations from Profiles (or Elsewhere);
rbanffy
Posted Mon Apr 25 00:00:00 EDT 2011
This is a very short, very practical way to get you started exploring the Twitter APIs on your own. It offers a decent amount of code no experienced developer should have much trouble understanding and applying to his or her own needs. The cost per page is not exactly attractive and some readers may want a more in-depth less cookbook-like experience. If you are in a hurry to extract data from Twitter, this book may be for you - for less than $20 for the electronic edition, it will spare you more than that in time spent figuring out libraries and APIs. Plus, it offers some intro on many other interesting libraries that can be applied to a lot of problems besides Twitter mining.
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Overview
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 ...