Information Technology

21 Recipes for Mining Twitter

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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/setup tools) 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!

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Detail Information

Series Title

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Call Number

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Publisher

: ., 2011

Collation

1-71

Language

English

ISBN/ISSN

978-1-449-30316-7

Classification

NONE

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Edition

FirSt Edition

Subject(s)

21 Recipes for Mining Twitter

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