Authors: Julia Silge, David Robinson
License: MIT
Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like dplyr, broom, tidyrand ggplot2. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
InstallationYou can install this package from CRAN:
install.packages("tidytext")Or you can install the development version from Github with devtools:
library(devtools)install_github("juliasilge/tidytext")本帖隐藏的内容
tidytext-master.zip
(4.28 MB)


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