Fit a topic model using PCA+varimax — tmfast • tmfast

Fit a topic model using PCA+varimax

Usage

tmfast(dtm, n, row = doc, column = word, value = n, verbose = FALSE, ...)

Arguments

dtm: Document-term matrix. Either an object inheriting from Matrix or a long dataframe representation with row column row, column column column, and value column n.
n: Number of topics to return
row: In dataframe dtm, row column
column: In dataframe dtm, column column
value: In dataframe dtm, value column
verbose: Should irlba() be verbose?
...: Other arguments, passed to varimax_irlba

Value

As per varimax_irlba, of class tmfast

Details

If dtm is not a matrix, will be cast to a sparse matrix using tidytext::case_sparse()