Mining the Social Web, 3e

The third edition of this popular guide teaches data scientists, analysts, and programmers how to glean insights from social media using Python code examples, Jupyter notebooks, or Docker containers. Part one focuses on one aspect of the social landscape, while part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter.

Format: Paperback / softback
Length: 432 pages
Publication date: 22 January 2019
Publisher: O'Reilly Media, Inc, USA

Discover the hidden treasures of popular social websites like Twitter, Facebook, LinkedIn, and Instagram by unlocking their rich data with Python code examples, Jupyter notebooks, and Docker containers. In this comprehensive third edition, data scientists, analysts, and programmers will embark on a journey to extract valuable insights from these digital platforms. Part one delves into the diverse aspects of the social landscape, encompassing each major social site, web pages, blogs, feeds, mailboxes, GitHub, and a newly added chapter on Instagram. Part two serves as a cookbook, offering two dozen bite-size recipes for tackling specific challenges on Twitter. Gain a clear overview of the social web's intricate terrain. Utilize Docker to effortlessly run the example code from each chapter, packaged as a Jupyter notebook. Seamlessly adapt and contribute to the open-source GitHub repository, fostering collaboration and innovation. Harness the power of best-in-class Python 3 tools to slice, dice, and analyze the data you collect. Explore advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition. Create stunning data visualizations using Python and JavaScript toolkits, bringing your insights to life in captivating ways. Unlock the full potential of social media data and expand your analytical capabilities with this essential guide.

Weight: 744g
Dimension: 230 x 170 x 22 (mm)
ISBN-13: 9781491985045