Articoli correlati a Mining the Social Web 2ed
Sinossi
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.
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Descrizione del libro
Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
L'autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreO′Reilly
- Data di pubblicazione2013
- ISBN 10 1449367615
- ISBN 13 9781449367619
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione2
- Numero di pagine448
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Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Google+, Github, And More
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Mining the Social Web : Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
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O'Reilly Media, Incorporated, 2013
ISBN 10: 1449367615
ISBN 13: 9781449367619
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Mining the Social Web : Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
Editore:
O'Reilly Media, Incorporated, 2013
ISBN 10: 1449367615
ISBN 13: 9781449367619
Antico o usato
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Da: Better World Books, Mishawaka, IN, U.S.A.
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