Text Mining with R: A Tidy Approach by Julia Silge
English | 12 Jun. 2017 | ASIN: B071K9RT9Z | 194 Pages | AZW3 | 4.26 MB
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.
