Mining the social web

Resource Information

The work Mining the social web represents a distinct intellectual or artistic creation found in Calgary Public Library. This resource is a combination of several types including: Work, Language Material, Books.

Label

Mining the social web

Statement of responsibility

Matthew A. Russell

Creator

• Russell, Matthew A., (Computer scientist)

Author

• Russell, Matthew A., (Computer scientist)

Subject

• Electronic books
• COMPUTERS / General
• Online social networks
• Data mining

Genre

• Electronic books

Language

eng

Summary

" 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."--Amazon.com

Cataloging source

N$T

Dewey number

006.312

Index

index present

LC call number

QA76.9.D343

LC item number

R87 2013

Literary form

non fiction

Nature of contents

• dictionaries
• bibliography