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Index
Cover nav Mining the Social Web Mining the Social Web section Preface I. A Guided Tour of the Social Web Prelude 1. Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More 2. Mining Facebook: Analyzing Fan Pages, Examining Friendships, and More 3. Mining LinkedIn: Faceting Job Titles, Clustering Colleagues, and More 4. Mining Google+: Computing Document Similarity, Extracting Collocations, and More 5. Mining Instagram: Computer Vision, Neural Networks, Object Recognition, and Face Detection 6. Mining Web Pages: Using Natural Language Processing to Understand Human Language, Summarize Blog Posts, and More 7. Mining Mailboxes: Analyzing Who’s Talking to Whom About What, How Often, and More 8. Mining GitHub: Inspecting Software Collaboration Habits, Building Interest Graphs, and More II. Twitter Cookbook 9. Twitter Cookbook III. Appendixes A. Information About This Book’s Virtual Machine Experience B. OAuth Primer C. Python and Jupyter Notebook Tips & Tricks Index About the Authors Colophon
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