Plot Topic Model Quality Metrics

Creates a faceted plot showing diagnostic metrics across different K values from stm::searchK results.

Usage

plot_quality_metrics(
  search_results,
  title = "Diagnostic Plots",
  height = 600,
  width = 800
)

Arguments

search_results

Results from stm::searchK or find_optimal_k()

title

Plot title (default: "Diagnostic Plots")

height

Plot height in pixels (default: 600)

width

Plot width in pixels (default: 800)

Value

A plotly object with faceted diagnostic plots

See also

Other topic-modeling: analyze_semantic_evolution(), assess_hybrid_stability(), calculate_assignment_consistency(), calculate_eval_metrics_internal(), 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(), run_contrastive_topics_internal(), run_neural_topics_internal(), run_temporal_topics_internal(), validate_semantic_coherence()