document_term_casters: Casting a data frame to a DocumentTermMatrix,...

In igorscarvalho/tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

Description

This turns a "tidy" one-term-per-document-per-row data frame into a DocumentTermMatrix or TermDocumentMatrix from the tm package, or a dfm from the quanteda package. These functions support non-standard evaluation through the tidyeval framework. Groups are ignored.

Usage

cast_tdm(data, term, document, value, weighting = tm::weightTf, ...)

cast_dtm(data, document, term, value, weighting = tm::weightTf, ...)

cast_dfm(data, document, term, value, ...)

Arguments

data	Table with one-term-per-document-per-row
term	Column containing terms as string or symbol
document	Column containing document IDs as string or symbol
value	Column containing values as string or symbol
weighting	The weighting function for the DTM/TDM (default is term-frequency, effectively unweighted)
...	Extra arguments passed on to sparseMatrix

Details

The arguments term, document, and value are passed by expression and support quasiquotation; you can unquote strings and symbols.

igorscarvalho/tidytext documentation built on Aug. 23, 2020, 12:44 a.m.