quanteda, data.table, extrafont, ggplot2, ggrepel, grid, sna,
igraph, Matrix, methods, network, RColorBrewer, Rcpp (>=
0.12.12), stringi
knitr, quanteda.textmodels, quanteda.textstats, rmarkdown,
spelling, testthat, wordcloud

quanteda, extrafont, ggplot2, ggrepel, grid, sna, igraph,
Matrix, methods, network, RColorBrewer, Rcpp (>= 0.12.12),
stringi

Textual Statistics for the Quantitative Analysis of Textual Data
Textual statistics functions formerly in the 'quanteda' package.
Textual statistics for characterizing and comparing textual data. Includes
functions for measuring term and document frequency, the co-occurrence of
words, similarity and distance between features and documents, feature entropy,
keyword occurrence, readability, and lexical diversity.  These functions
extend the 'quanteda' package and are specially designed for sparse textual data.
c(
person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0002-0797-564X")),
person("Kohei", "Watanabe", email = "watanabe.kohei@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-6519-5265")),
person("Haiyan", "Wang", email = "whyinsa@yahoo.com", role = "aut", comment = c(ORCID = "0000-0003-4992-4311")),
person("Jiong Wei", "Lua", email = "J.W.Lua@lse.ac.uk", role = "aut"),
person("Jouni", "Kuha", email = "j.kuha@lse.ac.uk", role = "aut", comment = c(ORCID = "0000-0002-1156-8465")),
person("European Research Council", role = "fnd", comment = "ERC-2011-StG 283794-QUANTESS")
)
quanteda, data.table (>= 1.9.6), digest, Matrix (>= 1.2),
methods, nsyllable, proxyC (>= 0.1.4), Rcpp (>= 0.12.12),
RcppParallel, stringi
entropy, ExPosition, proxy, rmarkdown, spelling, svs,
testthat, knitr
Kenneth Benoit [cre, aut, cph]
(<https://orcid.org/0000-0002-0797-564X>),
Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>),
Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>),
Jiong Wei Lua [aut],
Jouni Kuha [aut] (<https://orcid.org/0000-0002-1156-8465>),
European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)