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.


Reference manual

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0.94 by Kenneth Benoit, 8 months ago

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Authors: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Adam Obeng [aut] , Stefan Müller [aut] , Akitaka Matsuo [aut] , Ian Fellows [cph] (authored wordcloud C source code (modified)) , European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)

Documentation:   PDF Manual  

GPL-3 license

Imports quanteda, extrafont, ggplot2, ggrepel, grid, sna, igraph, Matrix, methods, network, RColorBrewer, Rcpp, stringi

Suggests knitr, quanteda.textmodels, quanteda.textstats, rmarkdown, spelling, testthat, wordcloud

Linking to Rcpp

Suggested by quanteda, quanteda.textmodels.

See at CRAN