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Mastering Machine Learning with R

You're reading from   Mastering Machine Learning with R Advanced machine learning techniques for building smart applications with R 3.5

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Product type Paperback
Published in Jan 2019
Publisher
ISBN-13 9781789618006
Length 354 pages
Edition 3rd Edition
Languages
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Author (1):
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Cory Lesmeister Cory Lesmeister
Author Profile Icon Cory Lesmeister
Cory Lesmeister
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Table of Contents (16) Chapters Close

Preface 1. Preparing and Understanding Data FREE CHAPTER 2. Linear Regression 3. Logistic Regression 4. Advanced Feature Selection in Linear Models 5. K-Nearest Neighbors and Support Vector Machines 6. Tree-Based Classification 7. Neural Networks and Deep Learning 8. Creating Ensembles and Multiclass Methods 9. Cluster Analysis 10. Principal Component Analysis 11. Association Analysis 12. Time Series and Causality 13. Text Mining 14. Creating a Package 15. Other Books You May Enjoy

Word frequency

With word frequency analysis, we want to clean this data by removing the stop words, which would just clutter our interpretation. We'll explore the top overall word frequencies, then take a look at President Lincoln's work.

Word frequency in all addresses

To get rid of stop words in a tidy format, you can use the stop_words data frame provided in the tidytext package. You call that tibble into the environment, then do an anti-join by word:

> library(tidytext)

> data(stop_words)

> sotu_tidy <- sotu_unnest %>%
dplyr::anti_join(stop_words, by = "word")

Notice that the length of the data went from 1.97 million observations down to 778,161. Now, you can go ahead and see the top...

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