Topic Modeling with 'BERTopic'

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Documentation for package ‘BERTopic’ version 0.1.0

• DESCRIPTION file
• Package README

Help Pages

as.data.frame.bertopic_r	Coerce to data.frame
bertopic_as_document_topic_matrix	Coerce to a document-topic probability matrix
bertopic_available	Is Python + BERTopic available?
bertopic_find_topics	Find nearest topics for a query string
bertopic_fit	Fit BERTopic from R
bertopic_get_document_info	Document-level information
bertopic_get_representative_docs	Representative documents for a topic
bertopic_has_embedding_model	Does the model have a usable embedding model?
bertopic_load	Load a BERTopic model
bertopic_reduce_topics	Reduce/merge topics
bertopic_save	Save a BERTopic model
bertopic_self_check	Quick self-check for the BERTopic R interface
bertopic_session_info	Summarize Python/BERTopic session info
bertopic_set_embedding_model	Replace or set the embedding model
bertopic_set_topic_labels	Relabel topics
bertopic_topics	Get topic info as a tibble
bertopic_topics_over_time	Compute topics over time
bertopic_topic_terms	Get top terms for a topic
bertopic_transform	Transform new documents with a fitted BERTopic model
bertopic_update_topics	Update topic representations
bertopic_visualize_barchart	Visualize a topic barchart
bertopic_visualize_distribution	Visualize topic probability distribution
bertopic_visualize_documents	Visualize embedded documents
bertopic_visualize_heatmap	Visualize topic similarity heatmap
bertopic_visualize_hierarchical_documents	Visualize hierarchical documents and topics
bertopic_visualize_hierarchy	Visualize hierarchical clustering of topics
bertopic_visualize_term_rank	Visualize term rank evolution
bertopic_visualize_topics	Visualize topic map
bertopic_visualize_topics_over_time	Visualize topics over time
bertopic_visualize_topics_per_class	Visualize topics per class
coef.bertopic_r	Coefficients (top terms) for BERTopic
fortify.bertopic_r	Fortify method for ggplot2
install_py_deps	Install Python dependencies for BERTopic (auto route)
install_py_deps_conda	Install Python dependencies for BERTopic (Conda route)
install_py_deps_venv	Install Python dependencies for BERTopic (virtualenv route)
predict.bertopic_r	Predict method for BERTopic models
print.bertopic_r	Print method for bertopic_r
set_bertopic_seed	Set random seed for R and Python backends
sms_spam	SMS Spam Collection (UCI) - subset for examples
summary.bertopic_r	Summary for BERTopic models
use_bertopic	Bind current R session to the BERTopic environment (auto route)
use_bertopic_condaenv	Bind current R session to a BERTopic Conda environment
use_bertopic_virtualenv	Bind current R session to a BERTopic virtualenv