Books & Videos

Table of Contents

  1. Chapter 1 Introduction: Hacking on Twitter Data

    1. Installing Python Development Tools

    2. Collecting and Manipulating Twitter Data

    3. Closing Remarks

  2. Chapter 2 Microformats: Semantic Markup and Common Sense Collide

    1. XFN and Friends

    2. Exploring Social Connections with XFN

    3. Geocoordinates: A Common Thread for Just About Anything

    4. Slicing and Dicing Recipes (for the Health of It)

    5. Collecting Restaurant Reviews

    6. Summary

  3. Chapter 3 Mailboxes: Oldies but Goodies

    1. mbox: The Quick and Dirty on Unix Mailboxes

    2. mbox + CouchDB = Relaxed Email Analysis

    3. Threading Together Conversations

    4. Visualizing Mail “Events” with SIMILE Timeline

    5. Analyzing Your Own Mail Data

    6. Closing Remarks

  4. Chapter 4 Twitter: Friends, Followers, and Setwise Operations

    1. RESTful and OAuth-Cladded APIs

    2. A Lean, Mean Data-Collecting Machine

    3. Constructing Friendship Graphs

    4. Summary

  5. Chapter 5 Twitter: The Tweet, the Whole Tweet, and Nothing but the Tweet

    1. Pen : Sword :: Tweet : Machine Gun (?!?)

    2. Analyzing Tweets (One Entity at a Time)

    3. Juxtaposing Latent Social Networks (or #JustinBieber Versus #TeaParty)

    4. Visualizing Tons of Tweets

    5. Closing Remarks

  6. Chapter 6 LinkedIn: Clustering Your Professional Network for Fun (and Profit?)

    1. Motivation for Clustering

    2. Clustering Contacts by Job Title

    3. Fetching Extended Profile Information

    4. Geographically Clustering Your Network

    5. Closing Remarks

  7. Chapter 7 Google+: TF-IDF, Cosine Similarity, and Collocations

    1. Harvesting Google+ Data

    2. Data Hacking with NLTK

    3. Text Mining Fundamentals

    4. Finding Similar Documents

    5. Bigram Analysis

    6. Tapping into Your Gmail

    7. Before You Go Off and Try to Build a Search Engine…

    8. Closing Remarks

  8. Chapter 8 Blogs et al.: Natural Language Processing (and Beyond)

    1. NLP: A Pareto-Like Introduction

    2. A Typical NLP Pipeline with NLTK

    3. Sentence Detection in Blogs with NLTK

    4. Summarizing Documents

    5. Entity-Centric Analysis: A Deeper Understanding of the Data

    6. Closing Remarks

  9. Chapter 9 Facebook: The All-in-One Wonder

    1. Tapping into Your Social Network Data

    2. Visualizing Facebook Data

    3. Closing Remarks

  10. Chapter 10 The Semantic Web: A Cocktail Discussion

    1. An Evolutionary Revolution?

    2. Man Cannot Live on Facts Alone

    3. Hope

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