Rcpp (>= 1.0.0), ggplot2, grid, utils, glue, data.table, stats

An interface to the 'fastText' library
<https://github.com/facebookresearch/fastText>. The package
can be used for text classification and to learn word vectors.
The install folder contains the 'PATENTS' file.
An example how to use 'fastTextR' can be found in the 'README' file.

c(person("Florian", "Schwendinger", role = "aut"),
person(given = "Emil",
family = "Hvitfeldt",
role = c("aut", "cre"),
email = "emilhhvitfeldt@gmail.com",
comment = c(ORCID = "0000-0002-0679-1945")))
An interface to the 'fastText' library
<https://github.com/facebookresearch/fastText>. The package
can be used for text classification and to learn word vectors.
An example how to use 'fastTextR' can be found in the 'README' file.
Florian Schwendinger [aut],
Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>)

Fast Algorithms for Fitting Topic Models and Non-Negative Matrix
Factorizations to Count Data
c(person("Peter","Carbonetto",role=c("aut","cre"),
email="peter.carbonetto@gmail.com"),
person("Kevin","Luo",role="aut"),
person("Kushal","Dey",role="aut"),
person("Joyce","Hsiao",role="ctb"),
person("Abhishek","Sarkar",role="ctb"),
person("Anthony","Hung",role="ctb"),
person("Xihui","Lin",role="ctb"),
person("Paul C.","Boutros",role="ctb"),
person("Minzhe","Wang",role="ctb"),
person("Tracy","Ke",role="ctb"),
person("Matthew","Stephens",role="aut"))
Implements fast, scalable optimization algorithms for
fitting topic models ("grade of membership" models) and
non-negative matrix factorizations to count data. The methods
exploit the special relationship between the multinomial topic
model (also, "probabilistic latent semantic indexing") and Poisson
non-negative matrix factorization. The package provides tools to
compare, annotate and visualize model fits, including functions to
efficiently create "structure plots" and identify key features in
topics. The 'fastTopics' package is a successor to the 'CountClust'
package.
graphics, utils, methods, stats, Matrix, MCMCpack, quadprog,
irlba, dplyr, Rtsne, uwot, ashr, Rcpp (>= 1.0.1), RcppParallel
(>= 4.4.1), parallel, progress, pbapply, ggplot2 (>= 3.3.0),
ggrepel (>= 0.9.0), cowplot, plotly, htmlwidgets
NNLM, Ternary, testthat, knitr, rmarkdown
Peter Carbonetto [aut, cre],
Kevin Luo [aut],
Kushal Dey [aut],
Joyce Hsiao [ctb],
Abhishek Sarkar [ctb],
Anthony Hung [ctb],
Xihui Lin [ctb],
Paul C. Boutros [ctb],
Minzhe Wang [ctb],
Tracy Ke [ctb],
Matthew Stephens [aut]