Mining the Social Web (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
432
Utgivningsdatum
2019-01-31
Upplaga
3 New edition
Förlag
O'Reilly Media
Dimensioner
231 x 178 x 20 mm
Vikt
681 g
Antal komponenter
1
ISBN
9781491985045

Mining the Social Web

Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More

av Matthew A Russell, Mikhail Klassen
Häftad,  Engelska, 2019-01-31
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Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social mediaincluding whos connecting with whom, what theyre talking about, and where theyre locatedusing Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapters example code, packaged as a Jupyter notebook Adapt and contribute to the codes open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits
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Matthew A Russell, Mikhail Klassen

Övrig information

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. Mikhail Klassen is co-founder and Chief Data Scientist at Paladin:Paradigm, an aerospace analytics startup based in Montreal.His PhD research work was in large-scale numerical simulations of star formation, where he implemented a novel radiative transfer technique that led to more accurate models of the birth environments of high-mass stars.

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