Read Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Instagram, Github, and More

Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Instagram, Github, and More

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Description: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 media--including who's connecting with whom, what they're talking about, and where they're located--using 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 landscapeUse Docker to easily run each chapter's example code, packaged as a Jupyter notebookAdapt and contribute to the code's open source GitHub repositoryLearn how to employ best-in-class Python 3 tools to slice and dice the data you collectApply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognitionBuild beautiful data visualizations with Python and JavaScript toolkitsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Instagram, Github, and More. To get started finding Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Instagram, Github, and More, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 428

Format: PDF, EPUB & Kindle Edition

Publisher: O'Reilly Media

Release: 2018

ISBN: 1491973501

Description: 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 media--including who's connecting with whom, what they're talking about, and where they're located--using 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 landscapeUse Docker to easily run each chapter's example code, packaged as a Jupyter notebookAdapt and contribute to the code's open source GitHub repositoryLearn how to employ best-in-class Python 3 tools to slice and dice the data you collectApply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognitionBuild beautiful data visualizations with Python and JavaScript toolkitsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Instagram, Github, and More. To get started finding Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Instagram, Github, and More, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Instagram, Github, and More

Mining the Social Web: Data Mining Facebook, Twitter, Linkedin, Instagram, Github, and More

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