Books & Videos

Table of Contents

  1. Chapter 1 The tidy text format

  2. Chapter 2 Sentiment analysis with tidy data

  3. Chapter 3 Analyzing word and document frequency: tf-idf

  4. Chapter 4 Relationships between words: n-grams and correlations

  5. Chapter 5 Converting to and from non-tidy formats

  6. Chapter 6 Topic modeling

  7. Chapter 7 Case study: comparing Twitter archives

  8. Chapter 8 Case study: mining NASA metadata

  9. Chapter 9 Case study: analyzing usenet text