Mining The Social Web: Data Mining Facebook, Twitter, Linkedin, Google+, Github, And More

Mining The Social Web: Data Mining Facebook, Twitter, Linkedin, Google+, Github, And More

  • Used Book in Good Condition
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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.

  • Employ 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.

  • Used Book in Good Condition
Author

Matthew A. Russell

Binding

Paperback

Brand

Brand: O'Reilly Media

EAN

9781449367619

Edition

Second Edition

ISBN

1449367615

Label

O'Reilly Media

Manufacturer

O'Reilly Media

NumberOfPages

448

ProductGroup

Book

ProductTypeName

ABIS_BOOK

PublicationDate

2013-10-20

Publisher

O'Reilly Media

Studio

O'Reilly Media

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

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