dtm.create: Create a document term matrix from a list of tokens
In kasperwelbers/corpus-tools: tools for corpus analysis

Create a DocumentTermMatrix from a list of document ids, terms, and frequencies.

1 2	dtm.create(documents, terms, freqs = rep(1, length(documents)), minfreq = 5, minlength = 3, filter.chars = TRUE, filter = rep(T, length(documents)))

`documents`	a vector of document names/ids
`terms`	a vector of words of the same length as documents
`freqs`	a vector of the frequency a a term in a document
`minfreq`	the minimum frequency of terms for inclusion. Defaults to 5, set to 0 to skip filtering
`minlength`	the minimum word length (number of characters) for inclusion, set to 0 to skip filtering
`filter.chars`	filter out any words containing numbers or non-word characters (defaults to True)
`filter`	an optional boolean vector of the length of documents whether each document should be included. Any additional filtering will be applied on to op this filter