Text Mining with R: A Tidy Approach by Julia Silge
English | July 2, 2017 | ISBN: 1491981652 | 179 Pages | PDF | 6 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.