Converts a DTM into a data frame with three columns:
documents, terms, frequency. Each row is a unique
document by term frequency. This is akin to reshape2
packages melt function, but works on a sparse matrix.
The resulting data frame is also equivalent to the
tidytext triplet tibble.
dtm_melter(dtm)Document-term matrix with terms as columns. Works with DTMs
produced by any popular text analysis package, or using the
dtm_builder() function.
returns data frame with three columns: doc_id, term, freq