Semantic Document Clustering

Creates a unified visualization of document clustering with optional clustering

Usage

semantic_document_clustering(embeddings, method = "UMAP", clusters = NULL, ...)

Arguments

embeddings

Document embeddings matrix

method

Dimensionality reduction method ("PCA", "t-SNE", "UMAP")

clusters

Optional cluster assignments

...

Additional arguments

See also

Other semantic: analyze_document_clustering(), analyze_similarity_gaps(), calculate_clustering_metrics(), calculate_cross_similarity(), calculate_document_similarity(), calculate_similarity_robust(), cluster_embeddings(), cross_analysis_validation(), export_document_clustering(), extract_cross_category_similarities(), fit_semantic_model(), generate_cluster_labels(), generate_cluster_labels_auto(), generate_embeddings(), reduce_dimensions(), semantic_similarity_analysis(), temporal_semantic_analysis(), validate_cross_models(), word_co_occurrence_network(), word_correlation_network()