Russell, Matthew A.
Mining the Social Web: Data Mining Facebook, Twitter, Linkedln, Google+, GitHub, and More
- ISBN 13:
- 9781491985045
- author:
- Russell, Matthew A.
- format:
- Paperback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2017
- Pages:
- 500
- Dimensions:
- 23.3 x 18 x 2.2 centimetres (0.7
- Genre:
- Computers, Programming, Software Development
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Mining the Social Web: A Practical Guide to Extracting Insights from Social Media. Learn how to extract valuable insights from social media platforms such as Twitter, Facebook, LinkedIn, and Instagram using Python code examples. This comprehensive guide covers various aspects of the social landscape, including web pages, blogs, mailboxes, GitHub, and even Instagram. Part one focuses on each major social site, while part two provides a collection of recipes for solving specific issues with Twitter. With this book, you'll gain hands-on experience in employing best-in-class Python 3 tools to slice and dice data, as well as advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition. You'll also learn how to build beautiful data visualizations using Python and JavaScript toolkits. The book includes a straightforward guide to the social web landscape, along with Docker-enabled example code and an open source GitHub repository for adaptation and contribution.
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