Visualise complex relations in texts. This is done by providing functionalities for displaying text co-occurrence networks, text correlation networks, dependency relationships as well as text clustering and semantic text 'embeddings'. Feel free to join the effort of providing interesting text visualisations. Do note that to avoid the risk of CRAN archival that you should put packages as much as possible in Suggests. Package 'ggalt' is available in the CRAN archive: < https://cran.r-project.org/package=ggalt>.
This repository contains an R package which provides functionalities to easily visualise complex relations in texts. This is done by providing functionalities for displaying text co-occurrence networks, text correlation networks, dependency relationships as well as text clustering.

install.packages("textplot")remotes::install_github("bnosac/textplot")Look to the documentation of the functions and run the examples to see what it can do.
help(package = "textplot")
Feel free to join the effort of providing interesting text visualisations. Following these rules will make this process smooth
vignettes/textplot-examples.gif by making an example png of the output of your plot, put it in the dev folder and run the dev/make-textplot-examples.R code to update the gif shown in this READMENeed support in text mining? Contact BNOSAC: http://www.bnosac.be