Mining the Social Web, 2nd Edition

How can you tap into the wealth of social webdata to discover who’s making connections with whom, what they’re talkingabout, and where they’re located? With this expanded and thoroughly revisededition, you’ll learn how to acquire, analyze, and summarize data from allcorners of the social web, including Facebook, Twitter, LinkedIn, Google+,GitHub, email, websites, and blogs.

• Employ IPython Notebook, the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites
• Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data
• Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects
• Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit
• Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format

The example code for thisunique data science book is maintained in a public GitHub repository. It’sdesigned to be easily accessible through a turnkey virtual machine thatfacilitates interactive learning with an easy-to-use collection of IPythonNotebooks.

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