dtm_get_tf

<code>sparseMatrix</code> - Document-Term-Matrix

<code>character</code> - Norm used to normalize term vectors. 'l1' by default, i.e.
scale by bumber of words in document.

norm

Creates TermFrequency (tf) scaling matrix from Document-Term-Matrix. For examples
see <a href="/link/get_dtm?package=text2vec&version=0.2.0" rd-options="" data-mini-rdoc="text2vec::get_dtm">get_dtm</a>.

Very fast and memory-friendly tools for text vectorization and
    learning word embeddings (GloVe). Also package provides source-agnostic
    streaming API, which allows to perform analysis of collections
    of documents, which are much larger the available RAM.

dtm_get_tf: TermFrequency scaling matrix construction from Document-Term-Matrix

Description

Usage

Arguments

See Also