Fast and memory-friendly tools for text vectorization, topic
modeling (LDA, LSA), word embeddings (GloVe), similarities. This package
provides a source-agnostic streaming API, which allows researchers to perform
analysis of collections of documents which are larger than available RAM. All
core functions are parallelized to benefit from multicore machines.

Modern Text Mining Framework for R

package-ubuntu-20.04-r-4.0.5#cran#text2vec-0.6

<p>Converts 'dgCMatrix' (or coercible to 'dgCMatrix') to 'lda_c' format
</p>

<table summary="R argblock"><tr valign="top">
<td><code>X</code></td>
<td>
<p>Document-Term matrix</p>
</td>
</tr></table>

package-ubuntu-20.04-r-4.0.5#cran#text2vec-0.6#docs#as.lda_c

as.lda_c

Description

Usage

Arguments

text2vec

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