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Text Analysis with R for Students of Literature

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Cover of 'Text Analysis with R for Students of Literature'

Table of Contents

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    Book Overview
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    Chapter 1 R Basics
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    Chapter 2 First Foray into Text Analysis with R
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    Chapter 3 Accessing and Comparing Word Frequency Data
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    Chapter 4 Token Distribution Analysis
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    Chapter 5 Correlation
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    Chapter 6 Measures of Lexical Variety
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    Chapter 7 Hapax Richness
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    Chapter 8 Do It KWIC
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    Chapter 9 Do It KWIC (Better)
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    Chapter 10 Text Quality, Text Variety, and Parsing XML
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    Chapter 11 Clustering
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    Chapter 12 Classification
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    Chapter 13 Topic Modeling
Attention for Chapter 10: Text Quality, Text Variety, and Parsing XML
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