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Text analysis with R for students of literature /

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Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include quantitative and computational approaches to the study of text. Compu...

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Bibliographic Details
Main Author: Jockers, Matthew Lee, 1966-
Format: Book
Language:English
Published: Cham : New York : Springer-Verlag, [2014]
Series:Quantitative methods in the humanities and social sciences.
Subjects:
Computational linguistics.
R (Computer program language)
Table of Contents:
  • Part. 1. R Basics
  • First Foray into Text Analysis with R
  • Accessing and Comparing Word Frequency Data
  • Token Distribution Analysis
  • Correlation Part 2. Mesoanalysis
  • Measures of Lexical Variety
  • Hapax Richness
  • Do It KWIC
  • Do It KWIC (Better)
  • Text Quality, Text Variety, and Parsing XML
  • Part 3. Macroanalysis
  • Clustering
  • Classification
  • Topic Modeling
  • Appendix A: Variable Scope Example
  • Appendix B: The LDA Buffet
  • Appendix C: Start up Code
  • Appendix D: R Resources for Further Reading
  • Practice Exercise Solutions
  • Index.