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Text Mining with R

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  • 194 pages
  • 7 hours of reading

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Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem.

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Text Mining with R, Julia Silge, David Robinson

Language
Released
2017
Binding
(Paperback)
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Title
Text Mining with R
Language
English
Publisher
O'Reilly
Released
2017
Format
Paperback
Pages
194
ISBN10
1491981652
ISBN13
9781491981658
Series
Rating
4.35 out of 5
Description
Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem.