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juliasilge/tidytext: tidytext 0.1.7

Julia Silge; David Robinson; Colin Fay; Kenneth Benoit; Jim Hester; Sean Kross; Jon Calder; James Keirstead; Dave Childers; Arfon Smith; Amelia McNamara

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Julia Silge</dc:creator>
  <dc:creator>David Robinson</dc:creator>
  <dc:creator>Colin Fay</dc:creator>
  <dc:creator>Kenneth Benoit</dc:creator>
  <dc:creator>Jim Hester</dc:creator>
  <dc:creator>Sean Kross</dc:creator>
  <dc:creator>Jon Calder</dc:creator>
  <dc:creator>James Keirstead</dc:creator>
  <dc:creator>Dave Childers</dc:creator>
  <dc:creator>Arfon Smith</dc:creator>
  <dc:creator>Amelia McNamara</dc:creator>
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.
  <dc:title>juliasilge/tidytext: tidytext 0.1.7</dc:title>
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