Table of Contents

Preface;
Content Updates;
To Read This Book?;
Or Not to Read This Book?;
Tools and Prerequisites;
Conventions Used in This Book;
Using Code Examples;
Safari® Books Online;
How to Contact Us;
Acknowledgments;
Chapter 1: Introduction: Hacking on Twitter Data;
1.1 Installing Python Development Tools;
1.2 Collecting and Manipulating Twitter Data;
1.3 Closing Remarks;
Chapter 2: Microformats: Semantic Markup and Common Sense Collide;
2.1 XFN and Friends;
2.2 Exploring Social Connections with XFN;
2.3 Geocoordinates: A Common Thread for Just About Anything;
2.4 Slicing and Dicing Recipes (for the Health of It);
2.5 Collecting Restaurant Reviews;
2.6 Summary;
Chapter 3: Mailboxes: Oldies but Goodies;
3.1 mbox: The Quick and Dirty on Unix Mailboxes;
3.2 mbox + CouchDB = Relaxed Email Analysis;
3.3 Threading Together Conversations;
3.4 Visualizing Mail “Events” with SIMILE Timeline;
3.5 Analyzing Your Own Mail Data;
3.6 Closing Remarks;
Chapter 4: Twitter: Friends, Followers, and Setwise Operations;
4.1 RESTful and OAuth-Cladded APIs;
4.2 A Lean, Mean Data-Collecting Machine;
4.3 Constructing Friendship Graphs;
4.4 Summary;
Chapter 5: Twitter: The Tweet, the Whole Tweet, and Nothing but the Tweet;
5.1 Pen : Sword :: Tweet : Machine Gun (?!?);
5.2 Analyzing Tweets (One Entity at a Time);
5.3 Juxtaposing Latent Social Networks (or #JustinBieber Versus #TeaParty);
5.4 Visualizing Tons of Tweets;
5.5 Closing Remarks;
Chapter 6: LinkedIn: Clustering Your Professional Network for Fun (and Profit?);
6.1 Motivation for Clustering;
6.2 Clustering Contacts by Job Title;
6.3 Fetching Extended Profile Information;
6.4 Geographically Clustering Your Network;
6.5 Closing Remarks;
Chapter 7: Google+: TF-IDF, Cosine Similarity, and Collocations;
7.1 Harvesting Google+ Data;
7.2 Data Hacking with NLTK;
7.3 Text Mining Fundamentals;
7.4 Finding Similar Documents;
7.5 Bigram Analysis;
7.6 Tapping into Your Gmail;
7.7 Before You Go Off and Try to Build a Search Engine…;
7.8 Closing Remarks;
Chapter 8: Blogs et al.: Natural Language Processing (and Beyond);
8.1 NLP: A Pareto-Like Introduction;
8.2 A Typical NLP Pipeline with NLTK;
8.3 Sentence Detection in Blogs with NLTK;
8.4 Summarizing Documents;
8.5 Entity-Centric Analysis: A Deeper Understanding of the Data;
8.6 Closing Remarks;
Chapter 9: Facebook: The All-in-One Wonder;
9.1 Tapping into Your Social Network Data;
9.2 Visualizing Facebook Data;
9.3 Closing Remarks;
Chapter 10: The Semantic Web: A Cocktail Discussion;
10.1 An Evolutionary Revolution?;
10.2 Man Cannot Live on Facts Alone;
10.3 Hope;
Colophon;