Mining the Social Web, 2nd Edition?New from O'Reilly Media
Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
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Sebastopol, CA?How can you tap into the wealth of social
web data to discover who's making connections with whom, what they're
talking about, and where they're located? With this expanded and
thoroughly revised edition of Mining the Social Web, 2nd Edition,
you'll learn how to acquire, analyze, and summarize data from all
corners 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 this unique data science book is maintained in a
public GitHub repository. It's designed to be easily accessible through a
turnkey virtual machine that facilitates interactive learning with an
easy-to-use collection of IPython Notebooks.
For a review copy or more information please email reviews@oreilly.com. Please include your delivery address and contact information.
Additional Resources
For more information about the book, including table of contents, author bios, and cover graphic, see: http://shop.oreilly.com/product/0636920030195.do
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