Text analysis with r.
Material type:
TextLanguage: English Publication details: Switzerland Springer 2020Description: 277ISBN: - 9783030396459
- 005.133 JOC
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
Books
|
Jawaharlal Nehru Library | 005.133 JOC (Browse shelf(Opens below)) | Available | 384135 |
Intro
Preface to the Second Edition
Preface from the First Edition (Still Relevant)
Contents
About the Authors
List of Figures
List of Tables
Part I Microanalysis
1 R Basics
2 First Foray into Text Analysis with R
3 Accessing and Comparing Word Frequency Data
4 Token Distribution and Regular Expressions
5 Token Distribution Analysis
6 Correlation
7 Measures of Lexical Variety
8 Hapax Richness
9 Do It KWIC
10 Do It KWIC(er) (and Better)
Part II Metadata
11 Introduction to dplyr
12 Parsing TEI XML
13 Parsing and Analyzing Hamlet
14 Sentiment Analysis
Part III Macroanalysis
15 Clustering
16 Classification
17 Topic Modeling
18 Part of Speech Tagging and Named Entity Recognition
Appendix A: Variable Scope Example
Appendix B: The LDA Buffet
Appendix C: Practice Exercise Solutions
Index
There are no comments on this title.