tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

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', 'tidyr', and '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.

Package details

AuthorGabriela De Queiroz [ctb], Colin Fay [ctb] (<https://orcid.org/0000-0001-7343-1846>), Emil Hvitfeldt [ctb], Os Keyes [ctb] (<https://orcid.org/0000-0001-5196-609X>), Kanishka Misra [ctb], Tim Mastny [ctb], Jeff Erickson [ctb], David Robinson [aut], Julia Silge [aut, cre] (<https://orcid.org/0000-0002-3671-836X>)
MaintainerJulia Silge <julia.silge@gmail.com>
LicenseMIT + file LICENSE
URL https://github.com/juliasilge/tidytext
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the tidytext package in your browser

Any scripts or data that you put into this service are public.

tidytext documentation built on April 11, 2021, 1:06 a.m.