About the Author

Matthew Russell, Chief Technology Officer at Digital Reasoning Systems and Principal at Zaffra, is a computer scientist who is passionate about open source, data mining, and web application technologies. Matthew has worked extensively with the both the government and the private sector to ensure that complex software is delivered on time and under budget in the midst of even the most difficult of circumstances. Matthew can help you implement elegant end-to-end solutions to difficult problems involving spartan resources, nebulous requirements, high pressure, and messy data.

Matthew has also authored several popular O'Reilly books, most recently the second edition of Mining the Social Web.

Mining the Social Web

by Matthew A. Russell

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, 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.

Read a Sample Chapter

Buy the Ebook on oreilly.com

  • 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.