How to convert vector of characters to corpus input for the DocumentTermMatrix function from tm package in R?

Question

I am new to tm package. I'd like to use DocumentTermMatrix function to create DT- Matrix for further text-mining analysis but I am able to create propoer input for that function.

I have my data input so far in a format of a character vector like this and tried to use as.VCorpus function but it look's like it does not work. Code below:

> x <- as.VCorpus(sekcja_link$slowa_kluczowe_2)
Error in UseMethod("as.VCorpus") : 
  no applicable method for 'as.VCorpus' applied to an object of class "character"
> head(sekcja_link$slowa_kluczowe_2)
[1] "mandat policja zima kara"                                                                                 
[2] "sprzedaż samochodów w 2014 rok wzrost sprzedaży utrata prawa jazda wyprzedzaÄ‡ trzeci poduszka powietrzny"
[3] "kobieta 40stce powinien ruszać walczyÄ‡ życie ewa minge kasia czaplejewicz fitness"                       
[4] "e booki książka elektroniczny papierowy czytnik amazon kindle książki rynek booków handel i usługi"       
[5] "gra monopoly warszawa miasto plebiscyt samorząd i administracja"                                          
[6] "rachunek za ogrzewaÄ‡ niższe koszt ogrzewaÄ‡ ciepło wiek dom mieszkaÄ‡ nieruchomości"                     
>

score 13 · Accepted Answer · answered Mar 23 '15 at 12:39

If you got a character vector, you can use VectorSource like this:

txt <- c("Hello to you.", "Blah me, too.")
library(tm)
corp <- Corpus(VectorSource(txt))
dtm <- DocumentTermMatrix(corp)
# inspect(dtm)
# <<DocumentTermMatrix (documents: 2, terms: 5)>>
#   Non-/sparse entries: 5/5
# Sparsity           : 50%
# Maximal term length: 5
# Weighting          : term frequency (tf)
# 
# Terms
# Docs blah hello me, too. you.
# 1    0     1   0    0    1
# 2    1     0   1    1    0

How to convert vector of characters to corpus input for the DocumentTermMatrix function from tm package in R?

1 Answers1