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Mining the Social Web - Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More (Paperback, 3rd New edition)
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Mining the Social Web - Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More (Paperback, 3rd New edition)
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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 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 landscape Use Docker to
easily run each chapter’s example code, packaged as a Jupyter
notebook Adapt and contribute to the code’s 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
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
2019 |
Authors: |
Matthew A. Russell
• Mikhail Klassen
|
Dimensions: |
230 x 185 x 23mm (L x W x T) |
Format: |
Paperback
|
Pages: |
432 |
Edition: |
3rd New edition |
ISBN-13: |
978-1-4919-8504-5 |
Categories: |
Books >
Computing & IT >
General
|
LSN: |
1-4919-8504-6 |
Barcode: |
9781491985045 |
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