Creates individual diagnostic metric plots across different K values from stm::searchK results.
Value
A named list of ggplot objects, one per available metric (possible keys: semcoh, residual, heldout, lbound).
See also
Other topic-modeling:
analyze_semantic_evolution(),
assess_embedding_stability(),
assess_hybrid_stability(),
auto_tune_embedding_topics(),
calculate_assignment_consistency(),
calculate_keyword_stability(),
calculate_npmi(),
calculate_semantic_drift(),
calculate_topic_diversity(),
calculate_topic_probability(),
calculate_topic_stability(),
extract_topic_terms_df(),
find_optimal_k(),
find_topic_matches(),
fit_embedding_model(),
fit_hybrid_model(),
fit_temporal_model(),
fit_topic_prevalence_model(),
generate_topic_labels(),
get_topic_prevalence(),
get_topic_terms(),
get_topic_texts(),
identify_topic_trends(),
plot_model_comparison(),
plot_topic_effects_categorical(),
plot_topic_effects_continuous(),
plot_topic_probability(),
plot_word_probability(),
run_neural_topics_internal(),
validate_semantic_coherence()