Text Mining in Practice with R
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11

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Published By John Wiley & Sons, Ltd

9781119282105, 9781119282013

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Basics of Text Mining

Text Mining in Practice with R ◽

10.1002/9781119282105.ch2 ◽

2017 ◽

pp. 17-49 ◽

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Document Classification: Finding Clickbait from Headlines

Text Mining in Practice with R ◽

10.1002/9781119282105.ch6 ◽

2017 ◽

pp. 181-207

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Document Classification

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Predictive Modeling: Using Text for Classifying and Predicting Outcomes

Text Mining in Practice with R ◽

10.1002/9781119282105.ch7 ◽

2017 ◽

pp. 209-236

Keyword(s):

Predictive Modeling

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Hidden Structures: Clustering, String Distance, Text Vectors and Topic Modeling

Text Mining in Practice with R ◽

10.1002/9781119282105.ch5 ◽

2017 ◽

pp. 129-179

Keyword(s):

Topic Modeling ◽

String Distance

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Sentiment Scoring

Text Mining in Practice with R ◽

10.1002/9781119282105.ch4 ◽

2017 ◽

pp. 85-127

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Common Text Mining Visualizations

Text Mining in Practice with R ◽

10.1002/9781119282105.ch3 ◽

2017 ◽

pp. 51-83

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Front Matter

Text Mining in Practice with R ◽

10.1002/9781119282105.fmatter ◽

2017 ◽

pp. i-xii

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The OpenNLP Project

Text Mining in Practice with R ◽

10.1002/9781119282105.ch8 ◽

2017 ◽

pp. 237-269 ◽

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Index

Text Mining in Practice with R ◽

10.1002/9781119282105.index ◽

2017 ◽

pp. 305-307

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Text Sources

Text Mining in Practice with R ◽

10.1002/9781119282105.ch9 ◽

2017 ◽

pp. 271-303

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