Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites (2011) by @ptwobrussell
Table of Contents
Chapter 1 Introduction: Hacking on Twitter Data
- Installing Python Development Tools
- Collecting and Manipulating Twitter Data
- Closing Remarks
Chapter 2 Microformats: Semantic Markup and Common Sense Collide
- XFN and Friends
- Exploring Social Connections with XFN
- Geocoordinates: A Common Thread for Just About Anything
- Slicing and Dicing Recipes (for the Health of It)
- Collecting Restaurant Reviews
- Summary
Chapter 3 Mailboxes: Oldies but Goodies
- mbox: The Quick and Dirty on Unix Mailboxes
- mbox + CouchDB = Relaxed Email Analysis
- Threading Together Conversations
- Visualizing Mail “Events” with SIMILE Timeline
- Analyzing Your Own Mail Data
- Closing Remarks
Chapter 4 Twitter: Friends, Followers, and Setwise Operations
- RESTful and OAuth-Cladded APIs
- A Lean, Mean Data-Collecting Machine
- Constructing Friendship Graphs
- Summary
Chapter 5 Twitter: The Tweet, the Whole Tweet, and Nothing but the Tweet
- Pen : Sword :: Tweet : Machine Gun (?!?)
- Analyzing Tweets (One Entity at a Time)
- Juxtaposing Latent Social Networks (or #JustinBieber Versus #TeaParty)
- Visualizing Tons of Tweets
- Closing Remarks
Chapter 6 LinkedIn: Clustering Your Professional Network for Fun (and Profit?)
- Motivation for Clustering
- Clustering Contacts by Job Title
- Fetching Extended Profile Information
- Geographically Clustering Your Network
- Closing Remarks
Chapter 7 Google+: TF-IDF, Cosine Similarity, and Collocations
- Harvesting Google+ Data
- Data Hacking with NLTK
- Text Mining Fundamentals
- Finding Similar Documents
- Bigram Analysis
- Tapping into Your Gmail
- Before You Go Off and Try to Build a Search Engine…
- Closing Remarks
Chapter 8 Blogs et al.: Natural Language Processing (and Beyond)
- NLP: A Pareto-Like Introduction
- A Typical NLP Pipeline with NLTK
- Sentence Detection in Blogs with NLTK
- Summarizing Documents
- Entity-Centric Analysis: A Deeper Understanding of the Data
- Closing Remarks
Chapter 9 Facebook: The All-in-One Wonder
- Tapping into Your Social Network Data
- Visualizing Facebook Data
- Closing Remarks
Chapter 10 The Semantic Web: A Cocktail Discussion
- An Evolutionary Revolution?
- Man Cannot Live on Facts Alone
- Hope
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