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Releases: juliasilge/tidytext

tidytext 0.4.2

10 Apr 13:37
b61a650
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  • Added alt text to figures in vignettes and README (#233)

  • Update vignette for quanteda::dfm() v4 (#242)

tidytext 0.4.1

07 Jan 23:54
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  • Fixed bug for FREX stm tidier (#228)

tidytext 0.4.0

20 Dec 20:45
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  • hunspell is now a suggested dependency, thanks to @MichaelChirico (#221)
  • Added stm() tidiers for high FREX and lift words (#223)
  • Removed tweet-specific tokenizers because of changes in upstream dependencies (#227)

tidytext 0.3.4

20 Aug 00:26
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  • Updated the tidy method for a quanteda dfm because of the upcoming release of Matrix (#218)

tidytext 0.3.3

09 May 17:22
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  • scale_x/y_reordered() now uses a function labels as its main input (#200)
  • Fixed how to_lower is passed to underlying tokenization function for character shingles (#208)
  • Added support for tidying STM models that use content, thanks to @jonathanvoelkle (#209)

tidytext 0.3.2

30 Sep 20:27
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  • Update testing for rlang change + testthat 3e

tidytext 0.3.1

10 Apr 20:09
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  • Check for installation of stopwords more gracefully
  • Update tidiers and casters for new version of quanteda

tidytext 0.3.0

07 Jan 21:05
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  • Use vdiffr conditionally
  • Bug fix/breaking change for collapse argument to unnest_functions(). This argument now takes either NULL (do not collapse text across rows for tokenizing) or a character vector of variables (use said variables to collapse text across rows for tokenizing). This fixes a long-standing bug and provides more consistent behavior, but does change results for many situations (such as n-gram tokenization).

tidytext 0.2.6

21 Sep 15:05
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  • Move one vignette to pkgdown site, because of dependency removal
  • Move all CI from Travis to GH actions

tidytext 0.2.5

11 Jul 21:53
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  • reorder_within() now handles multiple variables, thanks to @tmastny (#170)
  • Move stopwords to Suggests so tidytext can be installed on older versions of R
  • Pass to_lower argument to other tokenizing functions, for more consistent behavior (#175)
  • Add glance() method for stm's estimated regressions, thanks to @vincentarelbundock (#176)