Dtm2Docs {textmineR} | R Documentation |
Convert a DTM to a Character Vector of documents
Description
This function takes a sparse matrix (DTM) as input and returns a character vector whose length is equal to the number of rows of the input DTM.
Usage
Dtm2Docs(dtm, ...)
Arguments
dtm |
A sparse Matrix from the matrix package whose rownames correspond to documents and colnames correspond to words |
... |
Other arguments to be passed to |
Value
Returns a character vector. Each entry of this vector corresponds to the rows
of dtm
.
Note
This function performs parallel computation if dtm
has more than 3,000
rows. The default is to use all available cores according to detectCores
.
However, this can be modified by passing the cpus
argument when calling
this function.
Examples
# Load a pre-formatted dtm and topic model
data(nih_sample)
data(nih_sample_dtm)
# see the original documents
nih_sample$ABSTRACT_TEXT[ 1:3 ]
# see the new documents re-structured from the DTM
new_docs <- Dtm2Docs(dtm = nih_sample_dtm)
new_docs[ 1:3 ]
[Package textmineR version 3.0.5 Index]