Mining the Social Web · 3rd Edition

Mine the rich data tucked away in popular social websites such as Twitter,Facebook, LinkedIn, and Instagram. With the third edition of this popularguide, data scientists, analysts, and programmers will learn how to gleaninsights from social media--including who's connecting with whom, what they'retalking about, and where they're located--using Python code examples, Jupyternotebooks, or Docker containers.

In part one, each standalone chapter focuses on one aspect of the sociallandscape, including each of the major social sites, as well as web pages,blogs and feeds, mailboxes, GitHub, and a newly added chapter coveringInstagram. Part two provides a cookbook with two dozen bite-size recipes forsolving 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 Jupyternotebook 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 datayou collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocationanalysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits