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Mining the Social Web: Data Mining Facebook, Twitter like new |

Item specifics

Format: Trade Paperback Item Weight: 1.5
Publication Year: 2019 Item Length: 9.1
Language: English Item Width: 7
ISBN:

1491985046

Item Height: 0.8
EAN:

9781491985045

Mining the Social Web: Data Mining Facebook, Twitter like new

About this product

Product Information
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

Product Identifiers
Publisher O’reilly, Incorporated
ISBN-10 1491985046
ISBN-13 9781491985045
eBay Product ID (ePID) 237690225

Product Key Features
Format Trade Paperback
Publication Year 2019
Language English

Dimensions
Weight 25.7 Oz
Width 7.3in.
Height 0.9in.
Length 9.1in.

Additional Product Features
Dewey Edition 23
Dewey Decimal 006.312
Age Level Scholarly & Professional
Copyright Date 2017
Author Matthew A. Russell, Mikhail Klassen
Edition Number 3
Number of Pages 432 Pages
Lc Classification Number Qa76.9.D343

Price : 4.99

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