Mining the social web

dc.contributor.author	Russell, Matthew A.
dc.contributor.author	Klassen, Mikhail
dc.date.issued	2019
dc.identifier.isbn	978-1-491-98504-5
dc.identifier.uri	https://thuvienso.hoasen.edu.vn/handle/123456789/13264
dc.description.abstract	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.
dc.format	xxiv, 396 p. : ill.
dc.language.iso	en
dc.publisher	O’Reilly Media, Inc.
dc.subject	Online social networks
dc.subject	Data mining
dc.title	Mining the social web
dc.type	Book
dc.description.version	3rd edition