tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

Text mining for word processing and sentiment analysis using 'dplyr', 'ggplot2', and other tidy tools.

Install the latest version of this package by entering the following in R:
install.packages("tidytext")
AuthorGabriela De Queiroz [ctb], David Robinson [aut], Julia Silge [aut, cre]
Date of publication2016-10-28 01:17:37
MaintainerJulia Silge <julia.silge@gmail.com>
LicenseMIT + file LICENSE
Version0.1.2
http://github.com/juliasilge/tidytext

View on CRAN

Functions

augment Man page
augment.LDA Man page
bind_tf_idf Man page
bind_tf_idf_ Man page
cast_dfm Man page
cast_dfm_ Man page
cast_dtm Man page
cast_dtm_ Man page
cast_sparse Man page
cast_sparse_ Man page
cast_tdm Man page
cast_tdm_ Man page
corpus_tidiers Man page
dictionary_tidiers Man page
get_sentiments Man page
glance Man page
glance.corpus Man page
glance.LDA Man page
lda_tidiers Man page
pair_count Man page
pair_count_ Man page
parts_of_speech Man page
reexports Man page
sentiments Man page
stop_words Man page
tdm_tidiers Man page
tidy Man page
tidy.corpus Man page
tidy.Corpus Man page
tidy.dfmSparse Man page
tidy.dictionary Man page
tidy.DocumentTermMatrix Man page
tidy.LDA Man page
tidy.simple_triplet_matrix Man page
tidy.TermDocumentMatrix Man page
tidytext Man page
tidytext-package Man page
tidy_triplet Man page
unnest_tokens Man page
unnest_tokens_ Man page

Files

inst
inst/CITATION
inst/extdata
inst/extdata/books.rda
inst/doc
inst/doc/tidying_casting.Rmd
inst/doc/tidytext.R
inst/doc/tf_idf.Rmd
inst/doc/tidying_casting.R
inst/doc/tidytext.Rmd
inst/doc/topic_modeling.Rmd
inst/doc/topic_modeling.R inst/doc/tf_idf.R
inst/doc/tidytext.html
inst/doc/tf_idf.html
inst/doc/tidying_casting.html
inst/doc/topic_modeling.html
tests
tests/testthat.R
tests/testthat
tests/testthat/test-sentiments.R tests/testthat/test-pair-count.R tests/testthat/test-corpus-tidiers.R tests/testthat/test-sparse-tidiers.R tests/testthat/test-sparse-casters.R tests/testthat/test-dictionary-tidiers.R tests/testthat/test-unnest-tokens.R tests/testthat/test-lda-tidiers.R tests/testthat/test-tf-idf.R
NAMESPACE
NEWS.md
data
data/parts_of_speech.rda
data/stop_words.rda
data/sentiments.rda
R
R/parts_of_speech.R R/sparse_tidiers.R R/utils.R R/lda_tidiers.R R/tidytext.R R/bind_tf_idf.R R/corpus_tidiers.R R/pair_count.R R/globals.R R/stop_words.R R/sentiments.R R/dictionary_tidiers.R R/sparse_casters.R R/unnest_tokens.R
vignettes
vignettes/tidying_casting.Rmd
vignettes/tf_idf.Rmd
vignettes/tidytext.Rmd
vignettes/topic_modeling.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/get_sentiments.Rd man/lda_tidiers.Rd man/cast_sparse.Rd man/pair_count.Rd man/parts_of_speech.Rd man/unnest_tokens.Rd man/sentiments.Rd man/corpus_tidiers.Rd man/reexports.Rd man/tidytext.Rd man/stop_words.Rd man/tidy_triplet.Rd man/cast_sparse_.Rd man/tdm_tidiers.Rd man/document_term_casters.Rd man/bind_tf_idf.Rd man/dictionary_tidiers.Rd man/tidy.Corpus.Rd
LICENSE

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All documentation is copyright its authors; we didn't write any of that.