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Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

Amazon.com Price:  $26.81 (as of 01/05/2019 13:52 PST- Details)

Description

How are you able to tap into the wealth of social internet data to find who’s making connections with whom, what they’re talking about, and where they’re positioned? With this expanded and thoroughly revised edition, you’ll learn to acquire, analyze, and summarize data from all corners of the social internet, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, web sites, and blogs.

  • Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social internet sites
  • Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract which means 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 benefit 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 a very simple-to-use number of IPython Notebooks.

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