Mining the Social Web : Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
Language: English
Published by O'Reilly Media, Incorporated, 2013
- Softcover
- Used

Seller: Better World Books: West, Reno, NV, U.S.A.Better World Books: West
AbeBooks seller since March 14, 2016
Condition: Used - Good
£ 5.86
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Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Seller Inventory # 10652161-75
- Title
- Mining the Social Web : Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
- Author
- Russell, Matthew A.
- Publisher
- O'Reilly Media, Incorporated
- Publication year
- 2013
- Condition
- Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1449367615
- ISBN 13
- 9781449367619
- Edition
- 10th Edition.
- Item weight
- 1.72 pounds
- Dimensions
- N/A
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.
"Synopsis" may belong to another edition of this title.
About the Author
Matthew Russell, Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons.
"About the title" may belong to another edition of this title.
Better World Books: West
Reno, NV, U.S.A.
AbeBooks seller since March 14, 2016
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Better World Books is a for-profit, socially conscious business and a global online bookseller that collects and sells new and used books online, matching each purchase with a book donation. Each sale generates funds for literacy and education initiatives in the U.S., the UK, and around the world. Since its launch in 2003, Better World Books has raised over $35 million for libraries and literacy, donated over 38 million books, and reused or recycled more than 475 million books.
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