read_dtm_Blei_et_al(file, vocab = NULL)
read_dtm_MC(file, scalingtype = NULL)
NULL
.NULL
(default), in which case the scaling will
be inferred from the names of the files with non-zero entries found
(see Details).read_dtm_Blei_et_al
reads the (List of Lists type sparse
matrix) format employed by the Latent Dirichlet Allocation and
Correlated Topic Model C codes by Blei et al
(http://www.cs.princeton.edu/~blei).MC is a toolkit for creating vector models from text documents (see http://www.cs.utexas.edu/users/dml/software/mc/). It employs a variant of Compressed Column Storage (CCS) sparse matrix format, writing data into several files with suitable names: e.g., a file with _dim appended to the base file name stores the matrix dimensions. The non-zero entries are stored in a file the name of which indicates the scaling type used: e.g., _tfx_nz indicates scaling by term frequency (t), inverse document frequency (f) and no normalization (x). See README in the MC sources for more information.
read_dtm_MC
reads such sparse matrix information with argument
file
giving the path with the base file name.
read_stm_MC
in package slam.