Text Mining with R: A Tidy Approach
Silge, Julia
Sold by Lakeside Books, Benton Harbor, MI, U.S.A.
AbeBooks Seller since April 6, 2017
New - Soft cover
Condition: New
Quantity: Over 20 available
Add to basketSold by Lakeside Books, Benton Harbor, MI, U.S.A.
AbeBooks Seller since April 6, 2017
Condition: New
Quantity: Over 20 available
Add to basketBrand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Seller Inventory # OTF-S-9781491981658
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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