Book Chapters

  1. The tidy text format
  2. Sentiment analysis with tidy data
  3. Analyzing word and document frequency: tf-idf
  4. Relationships between words: n-grams and correlations
  5. Converting to and from non-tidy formats
  6. Topic modeling
  7. Case study: comparing Twitter archives
  8. Case study: mining NASA metadata
  9. Case study: analyzing usenet text