bertopic_as_document_topic_matrix

Extract the document-topic probabilities as a matrix. If probabilities were
not computed during fitting, returns NULL (with a warning).

Interface to the Python package 'BERTopic' <https://maartengr.github.io/BERTopic/index.html> for transformer-based topic modeling. Provides R wrappers to fit BERTopic models, transform new documents, update and reduce topics, extract topic- and document-level information, and generate interactive visualizations. 'Python' backends and dependencies are managed via the 'reticulate' package.

Biying Zhou

BERTopic

Topic Modeling with 'BERTopic'

bertopic_as_document_topic_matrix function

<dl><dt>model</dt>
<dd>A "bertopic_r" model object.</dd>
<dt>sparse</dt>
<dd>Logical; if TRUE and Matrix is available, returns a sparse matrix.</dd>
<dt>prefix</dt>
<dd>Logical; if TRUE, prefix columns as topic ids.</dd></dl>

Arguments

Coerce to a document-topic probability matrix — bertopic_as_document_topic_matrix

<dl>

<dt>model</dt>
<dd>A "bertopic_r" model object.</dd>


<dt>sparse</dt>
<dd>Logical; if TRUE and Matrix is available, returns a sparse matrix.</dd>


<dt>prefix</dt>
<dd>Logical; if TRUE, prefix columns as topic ids.</dd>

</dl>

bertopic_as_document_topic_matrix: Coerce to a document-topic probability matrix

Description

Usage

Value

Arguments