| acronym | Acronym List |
| analyze_document_clustering | Analyze Document Clustering |
| analyze_semantic_evolution | Analyze Semantic Evolution |
| analyze_sentiment | Analyze Text Sentiment |
| analyze_sentiment_llm | LLM-based Sentiment Analysis |
| analyze_similarity_gaps | Analyze Similarity Gaps Between Categories |
| assess_embedding_stability | Assess Embedding Topic Model Stability |
| auto_tune_embedding_topics | Auto-tune BERTopic Hyperparameters |
| calculate_assignment_consistency | Calculate Assignment Consistency |
| calculate_clustering_metrics | Calculate Clustering Quality Metrics |
| calculate_cross_similarity | Calculate Cross-Matrix Cosine Similarity |
| calculate_dispersion_metrics | Calculate Dispersion Metrics |
| calculate_keyword_stability | Calculate Keyword Stability |
| calculate_lexical_dispersion | Calculate Lexical Dispersion |
| calculate_log_odds_ratio | Calculate Log Odds Ratio Between Categories |
| calculate_semantic_drift | Calculate Semantic Drift |
| calculate_similarity_robust | Calculate Document Similarity with Fallbacks |
| calculate_text_readability | Calculate Text Readability |
| calculate_topic_probability | Calculate Topic Probabilities |
| calculate_topic_stability | Calculate Topic Stability |
| calculate_weighted_log_odds | Calculate Weighted Log Odds Ratio |
| calculate_word_frequency | Analyze and Visualize Word Frequencies Across a Continuous Variable |
| call_llm_api | Call LLM API (Unified Wrapper) |
| clear_lexdiv_cache | Clear Lexical Diversity Cache |
| cluster_embeddings | Embedding-based Document Clustering |
| describe_image | Describe Image Using Vision LLM |
| detect_multi_words | Detect Multi-Word Expressions |
| detect_pdf_content_type | Detect PDF Content Type |
| export_document_clustering | Export Document Clustering Analysis |
| extract_cross_category_similarities | Extract Cross-Category Similarities from Full Similarity Matrix |
| extract_keywords_keyness | Extract Keywords Using Statistical Keyness |
| extract_keywords_tfidf | Extract Keywords Using TF-IDF |
| extract_morphology | Extract Morphological Features |
| extract_named_entities | Extract Named Entities from Tokens |
| extract_noun_chunks | Extract Noun Chunks |
| extract_pos_tags | Extract Part-of-Speech Tags from Tokens |
| extract_subjects_objects | Extract Subjects and Objects |
| extract_topic_terms_df | Build a topic-term data frame from any supported topic model |
| find_optimal_k | Find Optimal Number of Topics |
| find_similar_words | Find Similar Words |
| find_topic_matches | Find Similar Topics |
| fit_embedding_model | Fit Embedding-based Topic Model |
| fit_semantic_model | Fit Semantic Model |
| fit_temporal_model | Fit Temporal Topic Model |
| generate_cluster_labels | Generate Cluster Label Suggestions (Human-in-the-Loop) |
| generate_cluster_labels_auto | Generate Cluster Labels |
| generate_embeddings | Generate Embeddings |
| generate_topic_content | Generate Content from Topic Terms |
| generate_topic_labels | Generate Topic Labels Using AI |
| get_best_embeddings | Get Best Available Embeddings |
| get_content_type_prompt | Get Default System Prompt for Content Type |
| get_content_type_user_template | Get Default User Prompt Template for Content Type |
| get_sentences | Get Sentences |
| get_spacy_model_info | Get spaCy Model Information |
| get_topic_prevalence | Get Topic Prevalence (Gamma) from STM Model |
| get_topic_terms | Select Top Terms for Each Topic |
| get_topic_texts | Convert Topic Terms to Text Strings |
| get_word_similarity | Calculate Word Similarity |
| identify_topic_trends | Identify Topic Trends |
| import_files | Process Files |
| lemmatize_tokens | Lemmatize Tokens with Batch Processing |
| lexical_analysis | Lexical Analysis Functions |
| lexical_diversity_analysis | Lexical Diversity Analysis |
| lexical_frequency_analysis | Lexical Frequency Analysis |
| plot_cluster_terms | Plot Cluster Top Terms |
| plot_cross_category_heatmap | Plot Cross-Category Similarity Comparison |
| plot_document_sentiment_trajectory | Plot Document Sentiment Trajectory |
| plot_emotion_radar | Plot Emotion Radar Chart |
| plot_entity_frequencies | Plot Named Entity Frequencies |
| plot_keyness_keywords | Plot Statistical Keyness |
| plot_keyword_comparison | Plot Keyword Comparison (TF-IDF vs Frequency) |
| plot_lexical_dispersion | Plot Lexical Dispersion |
| plot_lexical_diversity_distribution | Plot Lexical Diversity Distribution |
| plot_log_odds_ratio | Plot Log Odds Ratio |
| plot_model_comparison | Plot Topic Model Comparison Scatter |
| plot_morphology_feature | Plot Morphology Feature Distribution |
| plot_mwe_frequency | Plot Multi-Word Expression Frequency |
| plot_ngram_frequency | Plot N-gram Frequency |
| plot_pos_frequencies | Plot Part-of-Speech Tag Frequencies |
| plot_quality_metrics | Plot Topic Model Quality Metrics |
| plot_readability_by_group | Plot Readability by Group |
| plot_readability_distribution | Plot Readability Distribution |
| plot_semantic_viz | Plot Semantic Analysis Visualization |
| plot_sentiment_boxplot | Plot Sentiment Box Plot by Category |
| plot_sentiment_by_category | Plot Sentiment by Category |
| plot_sentiment_distribution | Plot Sentiment Distribution |
| plot_sentiment_violin | Plot Sentiment Violin Plot by Category |
| plot_similarity_heatmap | Plot Document Similarity Heatmap |
| plot_term_trends_continuous | Plot Term Frequency Trends by Continuous Variable |
| plot_tfidf_keywords | Plot TF-IDF Keywords |
| plot_topic_effects_categorical | Plot Topic Effects for Categorical Variables |
| plot_topic_effects_continuous | Plot Topic Effects for Continuous Variables |
| plot_topic_probability | Plot Per-Document Per-Topic Probabilities |
| plot_top_readability_documents | Plot Top Documents by Readability |
| plot_weighted_log_odds | Plot Weighted Log Odds |
| plot_word_frequency | Plot Word Frequency |
| plot_word_probability | Plot Word Probabilities by Topic |
| prep_texts | Preprocess Text Data |
| process_pdf_unified | Process PDF File (Unified Entry Point) |
| reduce_dimensions | Dimensionality Reduction Analysis |
| render_displacy_dep | Render displaCy Dependency Visualization |
| render_displacy_ent | Render displaCy Entity Visualization |
| run_app | Launch the TextAnalysisR app |
| run_rag_search | RAG Semantic Search |
| run_text_workflow | Complete Text Mining Workflow |
| semantic_document_clustering | Semantic Document Clustering |
| semantic_similarity_analysis | Semantic Similarity Analysis |
| sentiment_embedding_analysis | Embedding-based Sentiment Analysis |
| sentiment_lexicon_analysis | Analyze Sentiment Using Tidytext Lexicons |
| setup_python_env | Setup Python Environment |
| spacy_extract_entities | Extract Named Entities with spaCy |
| spacy_has_vectors | Check if Model Has Word Vectors |
| spacy_initialized | Check if spaCy is Initialized |
| spacy_lemmatize | Lemmatize Texts with spaCy |
| spacy_parse_full | Parse Texts with spaCy |
| SpecialEduTech | Special education technology bibliographic data |
| stm_15 | An example structure of a structural topic model |
| stopwords_list | Stopwords List |
| summarize_morphology | Summarize Morphology Features |
| unite_cols | Unite Text Columns |
| validate_cross_models | Cross-Analysis Validation |
| validate_semantic_coherence | Validate Semantic Coherence |
| word_correlation_network | Analyze and Visualize Word Correlation Networks |
| word_co_occurrence_network | Analyze and Visualize Word Co-occurrence Networks |