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 Title: Text Mining with R: A Tidy Approach
 Author(s) Julia Silge and David Robinson
 Publisher: O'Reilly Media; 1 edition (July 2, 2017); eBook (Creative Commons Licensed, 20240202)
 License: CC BYNCSA 3.0 US
 Paperback: 194 pages
 eBook: HTML and PDF
 Language: English
 ISBN10: 1491981652
 ISBN13: 9781491981658
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Book Description
Much of the data available today is unstructured and textheavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore textmining 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.
About the Authors Julia Silge is a data scientist at Stack Overflow;
 David Robinson is a data scientist at Stack Overflow with a PhD in Quantitative and Computational Biology from Princeton University.
 Information Retrieval (IR) and Search Engines
 Data Analysis and Data Mining
 R Programming
 Algorithms and Data Structures
 Computational Linguistics and Natural Language Processing
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