Mining the Social Web: Data Mining Facebook, Twitter,

Description Specifications
Description
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
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 mediaâ€”including whoâ€™s connecting with whom, what theyâ€™re talking about, and where theyâ€™re locatedâ€”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 chapterâ€™s example code, packaged as a Jupyter notebook
- Adapt and contribute to the codeâ€™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
Specifications
Country USA
Brand O'Reilly Media
Manufacturer O'Reilly Media
Binding Paperback
ItemPartNumber 48215269
ReleaseDate 2019-01-14
UnitCount 1
Format Illustrated
EANs 9781491985045

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