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Text Analysis with R

Overview of attention for book
Cover of 'Text Analysis with R'

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 and Regular Expressions
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    Chapter 5 Token Distribution Analysis
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    Chapter 6 Correlation
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    Chapter 7 Measures of Lexical Variety
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    Chapter 8 Hapax Richness
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    Chapter 9 Do It KWIC
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    Chapter 10 Do It KWIC(er) (and Better)
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    Chapter 11 Introduction to dplyr
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    Chapter 12 Parsing TEI XML
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    Chapter 13 Parsing and Analyzing Hamlet
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    Chapter 14 Sentiment Analysis
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    Chapter 15 Clustering
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    Chapter 16 Classification
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    Chapter 17 Topic Modeling
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    Chapter 18 Part of Speech Tagging and Named Entity Recognition
Attention for Chapter 15: Clustering
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