# create_corpus

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##### Create a corpus

This functions creates corpus objects (based on vocabulary or hashes), which are stored outside of R's heap and wrapped via reference classes using Rcpp-Modules. From those objects you can easily extract document-term (DTM) and term-co-occurrence (TCM) matrices. Also, text2vec grows the corpus for DTM and TCM matrices simultaneously in a RAM-friendly and efficient way using the iterators abstraction. You can build corpora from objects or files which are orders of magnitude larger that available RAM.

##### Usage
create_corpus(iterator, vectorizer)
##### Arguments
iterator
iterator over a list of character vectors. Each element is a list of tokens, that is, tokenized and normalized strings.
vectorizer
function vectorizer function. See vectorizers.
##### Value

Corpus object.