Text mining with R : a tidy approach

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Sebastopol, CA : O'Reilly, [2017].


LocationCall NumberStatusDue Date
Westover - Adult Nonfiction006.312 R SILGEChecked OutSeptember 14, 2023


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Sebastopol, CA : O'Reilly, [2017].
Physical Desc
xii, 178 pages : illustrations ; 24 cm


Includes bibliographical references (pages 173-174) and index.
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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APA Citation, 7th Edition (style guide)

Silge, J., & Robinson, D. (2017). Text mining with R: a tidy approach (First edition.). O'Reilly.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Silge, Julia and David, Robinson. 2017. Text Mining With R: A Tidy Approach. Sebastopol, CA: O'Reilly.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Silge, Julia and David, Robinson. Text Mining With R: A Tidy Approach Sebastopol, CA: O'Reilly, 2017.

MLA Citation, 9th Edition (style guide)

Silge, Julia,, and David Robinson. Text Mining With R: A Tidy Approach First edition., O'Reilly, 2017.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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