Text Mining with R: A Tidy Approach ePub (Adobe DRM) download by David Robinson

Text Mining with R: A Tidy Approach

O'Reilly Media
Publication date: June 2017
ISBN: 9781491981603
Digital Book format: ePub (Adobe DRM)

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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.

  • Learn how to apply the tidy text format to NLP
  • Use sentiment analysis to mine the emotional content of text
  • Identify a document’s most important terms with frequency measurements
  • Explore relationships and connections between words with the ggraph and widyr packages
  • Convert back and forth between R’s tidy and non-tidy text formats
  • Use topic modeling to classify document collections into natural groups
  • Examine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages
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Text Mining with R: A Tidy Approach ePub (Adobe DRM) download by David Robinson
O'Reilly Media, June 2017
ISBN: 9781491981603
EAN:  9781491981603
ePub (Adobe DRM)
List Price: $33.99 eBook price: $30.99
Text Mining with R: A Tidy Approach PDF (Adobe DRM) download by David Robinson
O'Reilly Media, June 2017
ISBN: 9781491981627
EAN:  9781491981627
PDF (Adobe DRM)
List Price: $33.99 eBook price: $30.99
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