dfm_tolower
and dfm_toupper
convert the features of the dfm or
fcm to lower and upper case, respectively, and then recombine the counts.
dfm_tolower(x, keep_acronyms = FALSE, ...) dfm_toupper(x, ...) fcm_tolower(x, keep_acronyms = FALSE, ...) fcm_toupper(x, ...)
x | the input object whose character/tokens/feature elements will be case-converted |
---|---|
keep_acronyms | logical; if |
... | additional arguments passed to stringi functions, (e.g.
|
fcm_tolower
and fcm_toupper
convert both dimensions of
the fcm to lower and upper case, respectively, and then recombine
the counts. This works only on fcm objects created with context =
"document"
.
# for a document-feature matrix mydfm <- dfm(c("b A A", "C C a b B"), toLower = FALSE, verbose = FALSE)#> Warning: Argument toLower not used.mydfm#> Document-feature matrix of: 2 documents, 3 features (16.7% sparse). #> 2 x 3 sparse Matrix of class "dfmSparse" #> features #> docs b a c #> text1 1 2 0 #> text2 2 1 2dfm_tolower(mydfm)#> Document-feature matrix of: 2 documents, 3 features (16.7% sparse). #> 2 x 3 sparse Matrix of class "dfmSparse" #> features #> docs b a c #> text1 1 2 0 #> text2 2 1 2dfm_toupper(mydfm)#> Document-feature matrix of: 2 documents, 3 features (16.7% sparse). #> 2 x 3 sparse Matrix of class "dfmSparse" #> features #> docs B A C #> text1 1 2 0 #> text2 2 1 2# for a feature co-occurrence matrix myfcm <- fcm(tokens(c("b A A d", "C C a b B e")), context = "document")#> Error in get(".SigLength", envir = env): object '.SigLength' not foundmyfcm#> Error in eval(expr, envir, enclos): object 'myfcm' not foundfcm_tolower(myfcm)#> Error in fcm_tolower(myfcm): object 'myfcm' not foundfcm_toupper(myfcm)#> Error in fcm_toupper(myfcm): object 'myfcm' not found