Library of American University of Madaba

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Russell, Matthew A. (Computer scientist),

Mining the social web / Mining the social web : data mining Facebook, Twitter, Linkedin, Instagram, Github, and more Matthew A. Russell and Mikhail Klassen - 3rd ed. - Sebastopol, CA : O'Reilly Media, 2018. - xxiv, 400 p. : ill. ; 24 cm.

Includes bibliographical references and index

Part 1. A guided tour of the social web. Mining Twitter : exploring trending topics, discovering what people are talking about, and more ; Mining Facebook : analyzing fan pages, examining friendships, and more ; Mining Instagram : computer vision, neural networks, object recognition, and face detection ; Mining LinkedIn : faceting job titles, clustering colleagues, and more ; Mining text files : computing document similarity, extracting collocations, and more ; Mining web pages : using natural language processing to understand human language, summarize blog posts, and more ; Mining mailboxes : analyzing who's talking to whom about what, how often, and more ; Mining GitHub : inspecting software collaboration habits, building interest graphs, and more -- Part II. Twitter cookbook -- Part III. Appendixes. A. Information about this book's virtual machine experience ; B. OAuth primer ; C. Python and Jupyter notebook tips and tricks

ISBN: 9781491985045 1491985046

Subjects--Topical Terms:
Data mining
Online social networks

LC Class. No.: QA76.9.D343 / R87 2018

Dewey Class. No.: 006.312 / R961