unnest_tokens can now unnest a data frame with a list column (which formerly threw the error unnest_tokens expects all columns of input to be atomic vectors (not lists)). The unnested result repeats the objects within each list. (It's still not possible when collapse = TRUE, in which tokens can span multiple lines). Add get_tidy_stopwords() to obtain stopword lexicons in multiple languages in a tidy format. Add a dataset nma_words of negators, modals, and adverbs that affect sentiment analysis (#55). Updated various vignettes/docs/tests so package can build on R-oldrel
Check for installation of stopwords more gracefully Update tidiers and casters for new version of qu...
The tidyr package is part of the tidyverse. As its name indicates, it is meant to help you create ti...
DataFrames v1.3.5 Diff since v1.3.4 Closed issues: add keepat! and insert! and pushfirst! (#2936) I...
get_sentiments now works regardless of whether tidytext has been loaded or not (#50). unnest_tokens ...
Change how NA values are handled in unnest_tokens so they no longer cause other columns to become NA...
Added documentation for n-grams, skip n-grams, and regex Added codecov and appveyor Added tidiers fo...
Use vdiffr conditionally Bug fix/breaking change for collapse argument to unnest_functions(). This a...
reorder_within() now handles multiple variables, thanks to @tmastny (#170) Move stopwords to Suggest...
Updates to documentation (#109) thanks to Emil Hvitfeldt. Add new tokenizers for tweets, Penn Treeba...
Updates to documentation (#102), README, and vignettes. Add tokenizing by character shingles thanks ...
Fix tidier for quanteda dictionary for correct class (#71). Add a pkgdown site. Convert NSE from und...
Wrapper tokenization functions for n-grams, characters, sentences, tweets, and more, thanks to @Coli...
Fix bug in augment() function for stm topic model. Warn when tf-idf is negative, thanks to @EmilHvit...
scale_x/y_reordered() now uses a function labels as its main input (#200) Fixed how to_lower is pass...
Improvements to documentation (#117) Fix for NSE thanks to @lepennec (#122). Tidier for estimated re...
Check for installation of stopwords more gracefully Update tidiers and casters for new version of qu...
The tidyr package is part of the tidyverse. As its name indicates, it is meant to help you create ti...
DataFrames v1.3.5 Diff since v1.3.4 Closed issues: add keepat! and insert! and pushfirst! (#2936) I...
get_sentiments now works regardless of whether tidytext has been loaded or not (#50). unnest_tokens ...
Change how NA values are handled in unnest_tokens so they no longer cause other columns to become NA...
Added documentation for n-grams, skip n-grams, and regex Added codecov and appveyor Added tidiers fo...
Use vdiffr conditionally Bug fix/breaking change for collapse argument to unnest_functions(). This a...
reorder_within() now handles multiple variables, thanks to @tmastny (#170) Move stopwords to Suggest...
Updates to documentation (#109) thanks to Emil Hvitfeldt. Add new tokenizers for tweets, Penn Treeba...
Updates to documentation (#102), README, and vignettes. Add tokenizing by character shingles thanks ...
Fix tidier for quanteda dictionary for correct class (#71). Add a pkgdown site. Convert NSE from und...
Wrapper tokenization functions for n-grams, characters, sentences, tweets, and more, thanks to @Coli...
Fix bug in augment() function for stm topic model. Warn when tf-idf is negative, thanks to @EmilHvit...
scale_x/y_reordered() now uses a function labels as its main input (#200) Fixed how to_lower is pass...
Improvements to documentation (#117) Fix for NSE thanks to @lepennec (#122). Tidier for estimated re...
Check for installation of stopwords more gracefully Update tidiers and casters for new version of qu...
The tidyr package is part of the tidyverse. As its name indicates, it is meant to help you create ti...
DataFrames v1.3.5 Diff since v1.3.4 Closed issues: add keepat! and insert! and pushfirst! (#2936) I...