Russell - 21 Recipes for Mining Twitter
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- Book:21 Recipes for Mining Twitter
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- Year:2011
- City:Sebastopol, Calif
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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.
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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 onwhether its 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, youll be able to quickly get up to speed and become productive with virtually no trouble at all. Beyond the Python language itself, youll 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 helpfuland 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 havent 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 a lot of degrees of freedom, and twitter (http://github.com/sixohsix/twitter), a third-party package well use extensively, is a beautiful wrapper around the API. Once you know a little bit about the API, itll quickly become obvious how to interact with it using twitter.
Finallyenjoy! And be sure to follow @SocialWebMining on Twitter or like the Mining the Social Web Facebook page to stay up to date with the latest updates, news, additional content, and more.
The following typographical conventions are used in this book:
Indicates new terms, URLs, email addresses, filenames, and file extensions.
Constant widthUsed for program listings, as well as within paragraphs to refer to program elements such as variable or function names, databases, data types, environment variables, statements, and keywords.
Constant width boldShows commands or other text that should be typed literally by the user.
Constant width italicShows text that should be replaced with user-supplied values or by values determined by context.
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This book is here to help you get your job done. In general, you may use the code in this book in your programs and documentation. You do not need to contact us for permission unless youre reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing a CD-ROM of examples from OReilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your products documentation does require permission.
We appreciate, but do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example: 21 Recipes for Mining Twitter by Matthew A. Russell (OReilly). Copyright 2011 Matthew A. Russell, 978-1-449-30316-7.
If you feel your use of code examples falls outside fair use or the permission given above, feel free to contact us at .
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You want to access your own data or another users data for analysis.
Take advantage of Twitters OAuth implementation to gain full access to Twitters entire API.
Twitter currently implements OAuth 1.0a, an authorization mechanism expressly designed to allow users to grant third parties access to their data without having to do the unthinkabledoling out their username and password. Various third-party Python packages such as twitter (easy_install twitter) provide easy-to-use abstractions for performing the OAuth dance, so that you can easily implement client programs to walk the user through this process. In the case of Twitter, the first step involved is registering your application with Twitter at http://dev.twitter.com/apps where Twitter provides you with a consumer key and consumer secret that uniquely identify your application. You provide these values to Twitter when requesting access to a users data, and Twitter prompts the user with information about the nature of your request. Assuming the user approves your application, Twitter then provides the user with a PIN code for the user to give back to you. Using your consumer key, consumer secret, and this PIN code, you retrieve back an
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