Text Analysis with R for Students of Literature
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...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
|
Σειρά: | Quantitative Methods in the Humanities and Social Sciences,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.