Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed.
Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.
"Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python."
"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data."
What people are saying - Write a review
Review: Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media SitesUser Review - Doug Lautzenheiser - Goodreads
This short book might have more appropriately been titled, "How I Personally Mined the Social Web using Python." Without giving too much explanation, the author provides samples of his Python routines ... Read full review
Review: Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media SitesUser Review - Niyikiza Aimable - Goodreads
A great start for anyone interested in data mining. Basic python hacking skills required. Read full review
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