Fix tidier for quanteda dictionary for correct class (#71). Add a pkgdown site. Convert NSE from underscored function to tidyeval (unnest_tokens, bind_tf_idf, all sparse casters) (#67, #74). Added tidiers for topic models from the stm package (#51)
unnest_tokens can now unnest a data frame with a list column (which formerly threw the error unnest_...
Updated the tidy method for a quanteda dfm because of the upcoming release of Matrix (#218
hunspell is now a suggested dependency, thanks to @MichaelChirico (#221) Added stm() tidiers for hig...
Fix tidier for quanteda dictionary for correct class (#71). Add a pkgdown site. Convert NSE from und...
Check for installation of stopwords more gracefully Update tidiers and casters for new version of qu...
Fix bug in augment() function for stm topic model. Warn when tf-idf is negative, thanks to @EmilHvit...
Improvements to documentation (#117) Fix for NSE thanks to @lepennec (#122). Tidier for estimated re...
get_sentiments now works regardless of whether tidytext has been loaded or not (#50). unnest_tokens ...
Updates to documentation (#102), README, and vignettes. Add tokenizing by character shingles thanks ...
scale_x/y_reordered() now uses a function labels as its main input (#200) Fixed how to_lower is pass...
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...
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...
Wrapper tokenization functions for n-grams, characters, sentences, tweets, and more, thanks to @Coli...
unnest_tokens can now unnest a data frame with a list column (which formerly threw the error unnest_...
Updated the tidy method for a quanteda dfm because of the upcoming release of Matrix (#218
hunspell is now a suggested dependency, thanks to @MichaelChirico (#221) Added stm() tidiers for hig...
Fix tidier for quanteda dictionary for correct class (#71). Add a pkgdown site. Convert NSE from und...
Check for installation of stopwords more gracefully Update tidiers and casters for new version of qu...
Fix bug in augment() function for stm topic model. Warn when tf-idf is negative, thanks to @EmilHvit...
Improvements to documentation (#117) Fix for NSE thanks to @lepennec (#122). Tidier for estimated re...
get_sentiments now works regardless of whether tidytext has been loaded or not (#50). unnest_tokens ...
Updates to documentation (#102), README, and vignettes. Add tokenizing by character shingles thanks ...
scale_x/y_reordered() now uses a function labels as its main input (#200) Fixed how to_lower is pass...
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...
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...
Wrapper tokenization functions for n-grams, characters, sentences, tweets, and more, thanks to @Coli...
unnest_tokens can now unnest a data frame with a list column (which formerly threw the error unnest_...
Updated the tidy method for a quanteda dfm because of the upcoming release of Matrix (#218
hunspell is now a suggested dependency, thanks to @MichaelChirico (#221) Added stm() tidiers for hig...
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