How can you know who is making the connection with whom, about what they are saying, and where they are located where? With the revised and expanded edition of this thoroughly, you will learn how to acquire, analyze and synthesize data from every corner of the social web, including Facebook, Twitter, LinkedIn, Google +, Github, emails, websites and blogs. This book will help you solve problems.
Table of Contents
Part I. A Guided Tour of the Social Web Chapter 1. Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More Chapter 2. Mining Facebook: Analyzing Fan Pages, Examining Friendships, and More Chapter 3. Mining LinkedIn: Faceting Job Titles, Clustering Colleagues, and More Chapter 4. Mining Google+: Computing Document Similarity, Extracting Collocations, and More Chapter 5. Mining Web Pages: Using Natural Language Processing to Understand Human Language, Summarize Blog Posts, and More Chapter 6. Mining Mailboxes: Analyzing Who’s Talking to Whom About What, How Often, and More Chapter 7. Mining GitHub: Inspecting Software Collaboration Habits, Building Interest Graphs, and More Chapter 8. Mining the Semantically Marked-Up Web: Extracting Microformats, Inferencing over RDF, and More
Part II. Twitter Cookbook Chapter 9. Twitter Cookbook
Part III. Appendixes Appendix A. Information About This Book’s Virtual Machine Experience Appendix B. OAuth Primer Appendix C. Python and IPython Notebook Tips & Tricks
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