Plots for the Quantitative Analysis of Textual Data

Plotting functions for visualising textual data. Extends 'quanteda' and related packages with plot methods designed specifically for text data, textual statistics, and models fit to textual data. Plot types include word clouds, lexical dispersion plots, scaling plots, network visualisations, and word 'keyness' plots.

quanteda.textplots: plots and visualisation for quanteda

About

Contains the textplot_*() functions formerly in quanteda. For more details, see https://quanteda.io.

How to Install

The normal way from CRAN, using your R GUI or

install.packages("quanteda.textplots") 

Or for the latest development version:

remotes::install_github("quanteda/quanteda.textplots") 

How to cite

Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo. (2018) “quanteda: An R package for the quantitative analysis of textual data”. Journal of Open Source Software. 3(30), 774. https://doi.org/10.21105/joss.00774.

For a BibTeX entry, use the output from citation(package = "quanteda.textplots").

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Contributing

Contributions in the form of feedback, comments, code, and bug reports are most welcome. How to contribute:

• Fork the source code, modify, and issue a pull request through the project GitHub page. See our Contributor Code of Conduct and the all-important quanteda Style Guide.
• Issues, bug reports, and wish lists: File a GitHub issue.
• Usage questions: Submit a question on the quanteda channel on StackOverflow.