Text Analysis with R : For Students of Literature /

Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other r...

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Bibliographic Details
Main Authors:	Jockers, Matthew L. (Author), Thalken, Rosamond (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	2nd ed. 2020.
Series:	Quantitative Methods in the Humanities and Social Sciences,
Subjects:	Statistics . Computational linguistics. Humanities-Digital libraries. Technology in literature. Application software. Statistics and Computing/Statistics Programs. Computational Linguistics. Statistics for Social Sciences, Humanities, Law. Digital Humanities. Literature and Technology/Media. Computer Appl. in Arts and Humanities. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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 by Chapter
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
Appendices
Index
List of Tables
List of Figures.