Comprehensive Evaluation Metrics Calculator

Calculates comprehensive evaluation metrics for topic models including neural coherence, LLM-based coherence, semantic diversity, and topic stability measures.

Usage

calculate_eval_metrics_internal(result, texts, selected_metrics)

Arguments

result

Topic modeling result object

texts

Original text documents

selected_metrics

Vector of metrics to calculate

Value

List containing calculated evaluation metrics

See also

Other topic-modeling: analyze_semantic_evolution(), assess_hybrid_stability(), calculate_assignment_consistency(), calculate_keyword_stability(), calculate_semantic_drift(), calculate_topic_probability(), calculate_topic_stability(), find_optimal_k(), find_topic_matches(), fit_embedding_topics(), fit_hybrid_model(), fit_temporal_model(), generate_topic_labels(), get_topic_prevalence(), get_topic_terms(), get_topic_texts(), identify_topic_trends(), plot_model_comparison(), plot_quality_metrics(), run_contrastive_topics_internal(), run_neural_topics_internal(), run_temporal_topics_internal(), validate_semantic_coherence()