tidytext: document_term_casters – R documentation

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document_term_casters

Casting a data frame to a DocumentTermMatrix, TermDocumentMatrix, or dfm

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.

tidytext

Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

v0.3.1

MIT + file LICENSE

Authors

Gabriela De Queiroz [ctb], Colin Fay [ctb] (<https://orcid.org/0000-0001-7343-1846>), Emil Hvitfeldt [ctb], Os Keyes [ctb] (<https://orcid.org/0000-0001-5196-609X>), Kanishka Misra [ctb], Tim Mastny [ctb], Jeff Erickson [ctb], David Robinson [aut], Julia Silge [aut, cre] (<https://orcid.org/0000-0002-3671-836X>)

Initial release