textrecipes 0.1.0

step_word2vec() have been changed to step_lda() to reflect what is actually happening.
step_word_embeddings() has been added. Allows for use of pre-trained word embeddings to convert token columns to vectors in a high-dimensional “meaning” space. (@jonthegeek, #20)
text2vec have been changed from Imports to Suggests.
textfeatures have been changed from Imports to Suggests.
step_tfidf() calculations are slightly changed due to flaw in original implementation https://github.com/dselivanov/text2vec/issues/280.

textrecipes 0.0.2

Custom stemming function can now be used in step_stem using the custom_stemmer argument.
step_textfeatures() have been added, allows for multiple numerical features to be pulled from text.
step_sequence_onehot() have been added, allows for one hot encoding of sequences of fixed width.
step_word2vec() have been added, calculates word2vec dimensions.
step_tokenmerge() have been added, combines multiple list columns into one list-columns.
step_texthash() now correctly accepts signed argument.
Documentation have been improved to showcase the importance of filtering tokens before applying step_tf() and step_tfidf().

First CRAN version