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tidytext  

Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
View on CRAN: Click here


Download and install tidytext package within the R console
Install from CRAN:
install.packages("tidytext")

Install from Github:
library("remotes")
install_github("cran/tidytext")

Install by package version:
library("remotes")
install_version("tidytext", "0.4.2")



Attach the package and use:
library("tidytext")
Maintained by
Julia Silge
[Scholar Profile | Author Map]
First Published: 2019-06-14
Latest Update: 2023-01-07
Description:
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.
How to cite:
Julia Silge (2019). tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools. R package version 0.4.2, https://cran.r-project.org/web/packages/tidytext. Accessed 09 Apr. 2025.
Previous versions and publish date:
0.2.1 (2019-06-14 06:50), 0.2.2 (2019-07-29 15:30), 0.2.3 (2020-03-04 07:30), 0.2.4 (2020-04-17 18:40), 0.2.5 (2020-07-11 22:20), 0.2.6 (2020-09-20 20:20), 0.3.0 (2021-01-06 18:40), 0.3.1 (2021-04-10 20:10), 0.3.2 (2021-09-30 22:10), 0.3.3 (2022-05-09 19:20), 0.3.4 (2022-08-20 02:10), 0.4.0 (2022-12-20 19:10), 0.4.1 (2023-01-08 00:30)
Other packages that cited tidytext R package
View tidytext citation profile
Other R packages that tidytext depends, imports, suggests or enhances
Complete documentation for tidytext
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