Mining the Social Web Second edition

How can you tap into The wealth of Social Wet data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll Lear how you acquire, analyze, and summarize data from alk corners of The Social web. Include Facebook, Twitter, Linkedin, Google+, GitHub, email, websites, and blogs.

DETAIL

• Author: Matthew A. Russell
• Language: English
• Format: pdf
• Published: 2014
• Page: 448
• Size: 22 MB

CONTENTS

Preface

Part 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 Web Pages: Using Natural Language Processing to Understand Human Language, Summarize Blog Posts, and More
6. Mining Mailboxes: Analyzing Who’s Talking to Whom About What, How Often, and More
7. Mining GitHub: Inspecting Software Collaboration Habits, Building Interest Graphs, and More
8. Mining the Semantically Marked-Up Web: Extracting Microformats, Inferencing over RDF, and More

 Part II. Twitter Cookbook

9.      Twitter Cookbook

Part III. Appendixes

A. Information About This Book’s Virtual Machine Experience

B. OAuth Primer

C. Python and IPython Notebook Tips & Tricks

Index

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