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tidytext
View on CRAN: Click
here
Download and install tidytext package within the R console
Install from CRAN:
install.packages("tidytext")
Install from Github:
library("remotes")
install_github("cran/tidytext")
Install by package version:
library("remotes")
install_version("tidytext", "0.4.2")
Attach the package and use:
library("tidytext")
Maintained by
Julia Silge
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-14
Latest Update: 2023-01-07
Description:
Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
How to cite:
Julia Silge (2019). tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools. R package version 0.4.2, https://cran.r-project.org/web/packages/tidytext
Previous versions and publish date:
0.2.1 (2019-06-14 06:50), 0.2.2 (2019-07-29 15:30), 0.2.3 (2020-03-04 07:30), 0.2.4 (2020-04-17 18:40), 0.2.5 (2020-07-11 22:20), 0.2.6 (2020-09-20 20:20), 0.3.0 (2021-01-06 18:40), 0.3.1 (2021-04-10 20:10), 0.3.2 (2021-09-30 22:10), 0.3.3 (2022-05-09 19:20), 0.3.4 (2022-08-20 02:10), 0.4.0 (2022-12-20 19:10), 0.4.1 (2023-01-08 00:30)
Other packages that cited tidytext R package
View tidytext citation profile
Other R packages that tidytext depends,
imports, suggests or enhances
Functions, R codes and Examples using
the tidytext R package
Some associated functions: bind_tf_idf . cast_sparse . corpus_tidiers . dictionary_tidiers . document_term_casters . get_sentiments . get_stopwords . lda_tidiers . mallet_tidiers . nma_words . parts_of_speech . reexports . reorder_within . sentiments . stm_tidiers . stop_words . tdm_tidiers . tidy.Corpus . tidy_triplet . tidytext-package . unnest_character . unnest_ngrams . unnest_ptb . unnest_regex . unnest_sentences . unnest_tokens . unnest_tweets .
Some associated R codes: bind_tf_idf.R . compat_lazyeval.R . corpus_tidiers.R . dictionary_tidiers.R . globals.R . lda_tidiers.R . mallet_tidiers.R . nma_words.R . parts_of_speech.R . reorder_within.R . sentiments.R . sparse_casters.R . sparse_tidiers.R . stm_tidiers.R . stop_words.R . tidytext.R . unnest_char.R . unnest_ngrams.R . unnest_ptb.R . unnest_regex.R . unnest_sentence.R . unnest_tokens.R . unnest_tweets.R . Full tidytext package functions and examples
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