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by: Julia Silge, David Robinson

 : Text Mining with R: A Tidy Approach
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Binding: Paperback
EAN: 9781491981658
Edition: 1
ISBN: 1491981652
Item Dimensions: 90070050
Label: O'Reilly Media
Languages: EnglishPublishedEnglishOriginal LanguageEnglishUnknown
Manufacturer: O'Reilly Media
Number Of Items: 1
Number Of Pages: 194
Publication Date: July 02, 2017
Publisher: O'Reilly Media
Studio: O'Reilly Media

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Product Description:

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.

The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You’ll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.

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