Tuesday, November 05, 2013

Mining the Social Web, 2nd Edition By Matthew A. Russell

This post was writing about a book that helps readers to mine the Social Web - Mining the Social Web, 2nd Edition Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More By Matthew A. Russell.
Before Readers start with a book. Readers can read some links about it.

I believe lots of people know about Socail Web. e.g. Facebook,Twitter, Linkedin, Google+, GitHub, email, website, and blog, but not everyone knows how to get/do something with social web data.
A book will help people who are interested in Data on Social Web. It will give readers about how to accuire, analyze and summarize data from data web.

What are readers able to learn in a book?
  • 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

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