I'm trying to feed a corpus into DocumentTermMatrix (I shorthand as DTM) to get term frequencies, but I noticed that DTM doesn't keep all terms and I don't know why! Check it out:
A<-c(" 95 94 89 91 90 102 103 100 101 98 99 97 110 108 109 106 107")
B<-c(" 95 94 89 91 90 102 103 100 101 98 99 97 110 108 109 106 107")
C<-Corpus(VectorSource(c(A,B)))
inspect(C)
>A corpus with 2 text documents
>
>The metadata consists of 2 tag-value pairs and a data frame
>Available tags are:
> create_date creator
>Available variables in the data frame are:
> MetaID
>
>[[1]]
> 95 94 89 91 90 102 103 100 101 98 99 97 110 108 109 106 107
>
>[[2]]
> 95 94 89 91 90 102 103 100 101 98 99 97 110 108 109 106 107
So far so good.
But now, I try to feed C into the DTM and it doesn't come out the other end! See:
> dtm<-DocumentTermMatrix(C)
> colnames(dtm)
>[1] "100" "101" "102" "103" "106" "107" "108" "109" "110"
Where are all the results less than 100? Or is it somehow a 2 character thing? I also tried:
dtm<-DocumentTermMatrix(C,control=list(c(1,Inf)))
and
dtm<-TermDocumentMatrix(C,control=list(c(1,Inf)))
to no avail. What gives?
If you read the
?TermDocumentMatrix
help page you can see that additionalcontrol=
options are listed in in the?termFreq
help page.There is a wordLengths parameter which filters the length of the words used in the matrix. It defaults to
c(3,Inf)
so it excludes two-character words. Try setting the value tocontrol=list(wordLengths=c(2,Inf)
to include those short words. (Note that when passing control parameters, you should name the parameters in the list.)