Package: tidytext 0.4.2.9000
tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
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.
Authors:
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tidytext.pdf |tidytext.html✨
tidytext/json (API)
NEWS
# Install 'tidytext' in R: |
install.packages('tidytext', repos = c('https://juliasilge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/juliasilge/tidytext/issues
- nma_words - English negators, modals, and adverbs
- parts_of_speech - Parts of speech for English words from the Moby Project
- sentiments - Sentiment lexicon from Bing Liu and collaborators
- stop_words - Various lexicons for English stop words
natural-language-processingtext-miningtidy-datatidyverse
Last updated 6 months agofrom:e1cb807450. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 07 2024 |
R-4.5-win | NOTE | Oct 07 2024 |
R-4.5-linux | NOTE | Oct 07 2024 |
R-4.4-win | OK | Oct 07 2024 |
R-4.4-mac | OK | Oct 07 2024 |
R-4.3-win | OK | Oct 07 2024 |
R-4.3-mac | OK | Oct 07 2024 |
Exports:augmentbind_tf_idfcast_dfmcast_dtmcast_sparsecast_tdmget_sentimentsget_stopwordsglancereorder_funcreorder_withinscale_x_reorderedscale_y_reorderedtidyunnest_character_shinglesunnest_charactersunnest_linesunnest_ngramsunnest_paragraphsunnest_ptbunnest_regexunnest_sentencesunnest_skip_ngramsunnest_tokensunnest_tweets
Dependencies:clidplyrfansigenericsgluejaneaustenrlatticelifecyclemagrittrMatrixpillarpkgconfigpurrrR6RcpprlangSnowballCstringistringrtibbletidyselecttokenizersutf8vctrswithr
Converting to and from Document-Term Matrix and Corpus objects
Rendered fromtidying_casting.Rmd
usingknitr::rmarkdown
on Oct 07 2024.Last update: 2024-04-10
Started: 2016-04-20
Introduction to tidytext
Rendered fromtidytext.Rmd
usingknitr::rmarkdown
on Oct 07 2024.Last update: 2023-09-05
Started: 2016-04-19
Term Frequency and Inverse Document Frequency (tf-idf) Using Tidy Data Principles
Rendered fromtf_idf.Rmd
usingknitr::rmarkdown
on Oct 07 2024.Last update: 2023-03-23
Started: 2016-05-24