Text Mining with R
A Tidy Approach
Ranked #15 in Natural Language Processing, Ranked #34 in Operations Research — see more rankings.
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... more
The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and... more
Similar Books
If you like Text Mining with R, check out these similar top-rated books:
