Text Analysis with R for Students of Literature

• Main Author: Jockers, Matthew L. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Quantitative Methods in the Humanities and Social Sciences,
• Subjects: Statistics.; Computational linguistics.; Statistics and Computing/Statistics Programs.; Computational Linguistics.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

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...

Table of Contents:

• R Basics.- First Foray into Text Analysis with R.- Accessing and Comparing Word Frequency Data.- Token Distribution Analysis.- Correlation
• Measures of Lexical Variety
• Hapax Richness
• Do It KWIC
• Do It KWIC (Better)
• Text Quality, Text Variety, and Parsing XML
• Clustering
• Classification
• Topic Modeling
• Appendix A: Variable Scope Example
• Appendix B: The LDA Buffet
• Appendix C: Code Repository
• Appendix D: R Resources
• Practice Exercise Solutions
• Index.