Text Analysis with R for Students of Literature

Authors:

ISBN: 978-3-319-03163-7 (Print) 978-3-319-03164-4 (Online)

Table of contents (13 chapters)

  1. Front Matter

    Pages i-xvi

  2. Microanalysis

    1. Front Matter

      Pages 1-1

    2. No Access

      Chapter

      Pages 3-10

      R Basics

    3. No Access

      Chapter

      Pages 11-23

      First Foray into Text Analysis with R

    4. No Access

      Chapter

      Pages 25-28

      Accessing and Comparing Word Frequency Data

    5. No Access

      Chapter

      Pages 29-46

      Token Distribution Analysis

    6. No Access

      Chapter

      Pages 47-56

      Correlation

  3. Mesoanalysis

    1. Front Matter

      Pages 57-57

    2. No Access

      Chapter

      Pages 59-67

      Measures of Lexical Variety

    3. No Access

      Chapter

      Pages 69-72

      Hapax Richness

    4. No Access

      Chapter

      Pages 73-80

      Do It KWIC

    5. No Access

      Chapter

      Pages 81-87

      Do It KWIC (Better)

    6. No Access

      Chapter

      Pages 89-98

      Text Quality, Text Variety, and Parsing XML

  4. Macroanalysis

    1. Front Matter

      Pages 99-99

    2. No Access

      Chapter

      Pages 101-117

      Clustering

    3. No Access

      Chapter

      Pages 119-133

      Classification

    4. No Access

      Chapter

      Pages 135-159

      Topic Modeling

  5. Back Matter

    Pages 161-194