Overview :
Mining the Social Web, 3e by Matthew A. Russell
Details
Remove rich data from popular social sites like Twitter, Facebook, LinkedIn, and Instagram. With the third version of this popular guide, data scientists, analysts and programmers will learn how to…
Mining the Social Web, 3e synopsis
Remove rich data from popular social sites like Twitter, Facebook, LinkedIn, and Instagram. With the third version of this popular guide, data scientists, analysts and programmers will learn how to gather ideas from social media, including who communicates with, what they are talking about, and where to use a site using Python code samples, Jupyter books, or Docker containers.
In the first part, each separate chapter focuses on one aspect of the social scene, including all major social sites, as well as web pages, blogs, feeds, mailboxes, and GitHub, and the newly added chapter that covers Instagram. The second part offers a cookbook of more than 20 small size recipes to solve certain problems with Twitter.
Get a direct summary of the social scene on the web Use Docker to easily run the example code of each chapter, fill it as a Jupyter Adapt notebook, and contribute to the open-source GitHub repository to learn how to use the best Python 3 tools in the class for the slice and data you are assembling. TFIDF, parity similarity, assembly analysis, group discovery, and image recognition Create beautiful data visualization using the Python and JavaScript toolset.
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