Matthew A. Russell - Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More, 2nd ed [2013, pdf, epub, ENG]

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More, 2nd ed

Год: 2013
Автор: Matthew A. Russell
Издательство: O'Reilly Media; Second Edition (October 17, 2013)
ISBN: ISBN-10: 1449367615, ISBN-13: 978-1449367619
Язык: Английский
Формат: pdf, epub
Качество: Изначально компьютерное (eBook)
Интерактивное оглавление: Да
Количество страниц: 448 pages
Описание: 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.Доп. информация: https://github.com/ptwobrussell/Mining-the-Social-Web-2nd-Edition