make_vectorizer: Returns a vectorizer. Used by prepare_dtm() function.

In tomathon-io/wordly: Natural Language Processing (NLP) functionality and modeling

Description

Takes in iterator from make_iterator() and returns a vectorizer. Ultimately used by prepare_dtm() to construct a DTM.

Usage

make_vectorizer(iterator_in, stop_word_list, n_gram_min, n_gram_max,
  see_verbose = TRUE)

Arguments

iterator_in	The iterator output from make_iterator().
stop_word_list	A list of stopwords.
n_gram_min	Minimum n-gram for vocabulary.
n_gram_max	Maximum n-gram for vocabulary.
see_verbose	Akin to verbose. Defaults to TRUE.

Examples

vectorizer_ret <- iter_ret %>% make_vectorizer()
vectorizer_ret <- iter_ret %>% make_vectorizer(stop_word_list = my_stopword_list)

tomathon-io/wordly documentation built on June 15, 2020, 12:41 a.m.