Preface
Introduction
This intentionally terse recipe collection provides you with 21 easily adaptable Twitter mining recipes and is a spin-off of Mining the Social Web (O'Reilly), a more comprehensive work that covers a much larger cross-section of the social web and related analysis. Think of this ebook as the jetpack that you can strap onto that great Twitter mining idea you've been noodling on—whether it’s as simple as running some disposible scripts to crunch some numbers, or as extensive as creating a full-blown interactive web application.
All of the recipes in this book are written in Python, and if you
are reasonably confident with any other programming language, you’ll be
able to quickly get up to speed and become productive with virtually no
trouble at all. Beyond the Python language itself, you’ll also want to be
familiar with easy_install
(http://pypi.python.org/pypi/setuptools) so that you can get
third-party packages that we'll be using along the way. A great warmup for
this ebook is Chapter 1 (Hacking on Twitter Data) from Mining the Social Web. It walks you through tools
like easy_install
and discusses specific environment
issues that might be helpful—and the best news is that you can download a
full resolution copy, absolutely free!
One other thing you should consider doing up front, if you haven’t already, is quickly skimming through the official Twitter API documentation and related development documents linked on that page. Twitter has a very easy-to-use API with ...
Get 21 Recipes for Mining Twitter now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.