Package index • TextAnalysisR

App

run_app(): Launch and browse the TextAnalysisR app
import_files(): Process Files

Preprocessing

unite_cols(): Unite Text Columns
prep_texts(): Preprocess Text Data
detect_multi_words(): Detect Multi-Word Expressions
get_available_dfm(): Get Available Document-Feature Matrix with Fallback

Lexical Analysis

extract_keywords_keyness(): Extract Keywords Using Statistical Keyness
extract_keywords_tfidf(): Extract Keywords Using TF-IDF
plot_keyword_comparison(): Plot Keyword Comparison (TF-IDF vs Frequency)
plot_tfidf_keywords(): Plot TF-IDF Keywords
plot_keyness_keywords(): Plot Statistical Keyness
plot_word_frequency(): Plot Word Frequency
calculate_word_frequency(): Analyze and Visualize Word Frequencies Across a Continuous Variable
plot_readability_distribution(): Plot Readability Distribution
plot_readability_by_group(): Plot Readability by Group
plot_top_readability_documents(): Plot Top Documents by Readability
plot_lexical_diversity_distribution(): Plot Lexical Diversity Distribution
calculate_text_readability(): Calculate Text Readability
lexical_frequency_analysis(): Lexical Frequency Analysis
lexical_diversity_analysis(): Lexical Diversity Analysis

Sentiment Analysis

analyze_sentiment(): Analyze Text Sentiment
sentiment_lexicon_analysis(): Analyze Sentiment Using Tidytext Lexicons
sentiment_embedding_analysis(): Embedding-based Sentiment Analysis
plot_sentiment_by_category(): Plot Sentiment by Category
plot_sentiment_distribution(): Plot Sentiment Distribution
plot_emotion_radar(): Plot Emotion Radar Chart
plot_document_sentiment_trajectory(): Plot Document Sentiment Trajectory
plot_top_sentiment_documents(): Plot Top Documents by Sentiment Score

Network Analysis

plot_cooccurrence_network(): Analyze and Visualize Word Co-occurrence Networks
plot_correlation_network(): Analyze and Visualize Word Correlation Networks
semantic_cooccurrence_network(): Compute Word Co-occurrence Network
semantic_correlation_network(): Compute Word Correlation Network

Topic Modeling

find_optimal_k(): Find Optimal Number of Topics
fit_embedding_topics(): Embedding-based Topic Modeling
fit_hybrid_model(): Fit Hybrid Topic Model
fit_semantic_model(): Fit Semantic Model
fit_temporal_model(): Fit Temporal Topic Model
generate_topic_labels(): Generate Topic Labels Using OpenAI's API
generate_topic_keywords(): Generate Topic Keywords
get_topic_terms(): Select Top Terms for Each Topic
calculate_topic_probability(): Calculate Topic Probabilities
identify_topic_trends(): Identify Topic Trends
plot_topic_probability(): Plot Per-Document Per-Topic Probabilities
plot_topic_effects_categorical(): Plot Topic Effects for Categorical Variables
plot_topic_effects_continuous(): Plot Topic Effects for Continuous Variables
plot_word_probability(): Plot Word Probabilities by Topic
run_text_workflow(): Complete Text Mining Workflow

Semantic Analysis

generate_embeddings(): Generate Embeddings
reduce_dimensions(): Dimensionality Reduction Analysis
calculate_document_similarity(): Calculate Document Similarity
calculate_cosine_similarity(): Calculate Cosine Similarity Matrix
semantic_similarity_analysis(): Semantic Similarity Analysis
semantic_document_clustering(): Semantic Document Clustering
cluster_embeddings(): Embedding-based Document Clustering
analyze_document_clustering(): Analyze Document Clustering
export_document_clustering(): Export Document Clustering Analysis
generate_cluster_labels(): Generate Cluster Labels with AI
generate_cluster_labels_auto(): Generate Cluster Labels
temporal_semantic_analysis(): Temporal Semantic Analysis
analyze_semantic_evolution(): Analyze Semantic Evolution
plot_semantic_viz(): Plot Semantic Analysis Visualization

PDF Processing

extract_text_from_pdf(): Extract Text from PDF
extract_text_from_pdf_py(): Extract Text from PDF using Python
extract_tables_from_pdf_py(): Extract Tables from PDF using Python
extract_pdf_multimodal(): Extract PDF with Multimodal Analysis
extract_pdf_smart(): Smart PDF Extraction with Auto-Detection
process_pdf_file(): Process PDF File
process_pdf_file_py(): Process PDF File using Python
process_pdf_unified(): Process PDF File (Unified Entry Point)
detect_pdf_content_type(): Detect PDF Content Type
detect_pdf_content_type_py(): Detect PDF Content Type using Python

AI Integration

check_ollama(): Check if Ollama is Available
list_ollama_models(): List Available Ollama Models
call_ollama(): Call Ollama for Text Generation
check_vision_models(): Check Vision Model Availability
get_recommended_ollama_model(): Get Recommended Ollama Model
init_langgraph(): Initialize LangGraph for Current Session
generate_topic_labels_langgraph(): Generate Topic Labels with LLM Assistance
validate_topic_labels_langgraph(): Validate User-Selected Topic Labels
run_rag_search(): RAG-Enhanced Semantic Search
format_label_candidates(): Format Label Candidates for Display
create_label_selection_data(): Create Label Selection UI Data
setup_python_env(): Setup Python Environment
check_python_env(): Check Python Environment Status
check_multimodal_prerequisites(): Check Multimodal Prerequisites

Data

SpecialEduTech: Special education technology bibliographic data
acronym: Acronym List
stm_15: An example structure of a structural topic model
dictionary_list_1: Dictionary List 1
dictionary_list_2: Dictionary List 2
stopwords_list: Stopwords List

Shiny Helpers

show_completion_notification(): Show Completion Notification
show_dfm_instructions_modal(): Show DFM Setup Instructions Modal
show_dfm_required_modal(): Show DFM Requirement Modal
show_error_notification(): Show Error Notification
show_guide_modal(): Show Guide Modal Dialog from HTML File
show_loading_notification(): Show Loading/Progress Notification
show_no_dfm_notification(): Show No DFM Notification
show_no_feature_matrix_notification(): Show Feature Matrix Notification
show_preprocessing_required_modal(): Show Generic Preprocessing Required Modal
show_preprocessing_steps_modal(): Show Preprocessing Steps Modal
show_unite_texts_required_notification(): Show Unite Texts Required Notification
show_warning_notification(): Show Warning Notification
show_web_banner(): Show Web Deployment Banner
remove_notification_by_id(): Remove Notification by ID
get_dfm_setup_instructions(): Generate DFM Setup Instructions Text
check_web_deployment(): Check Deployment Environment
check_feature(): Check Feature Status
get_feature_status(): Get Feature Status
require_feature(): Require Feature
plot_error(): Create Error Plot for Plotly
apply_standard_plotly_layout(): Apply Standard Plotly Layout
create_standard_ggplot_theme(): Create Standard ggplot2 Theme
get_plotly_hover_config(): Get Standard Plotly Hover Label Configuration
get_sentiment_color(): Generate Sentiment Color Gradient
get_sentiment_colors(): Get Sentiment Color Palette
create_message_table(): Create Message Data Table
create_analysis_datatable(): Create Formatted Analysis Data Table

Security & Accessibility

validate_file_upload(): Cybersecurity Utility Functions
sanitize_text_input(): Sanitize Text Input
check_rate_limit(): Check Rate Limit
log_security_event(): Log Security Event
validate_api_key(): Validate OpenAI API Key Format
calculate_contrast_ratio(): Web Accessibility Utility Functions
check_wcag_contrast(): Check WCAG Contrast Compliance
generate_aria_label(): Generate ARIA Label
create_sr_text(): Create Screen Reader Text
validate_keyboard_navigation(): Validate Keyboard Navigation
check_alt_text(): Check Alt Text Presence

Internal

validate_cross_models(): Cross-Analysis Validation
validate_semantic_coherence(): Validate Semantic Coherence
validate_topic_labels_langgraph(): Validate User-Selected Topic Labels
calculate_assignment_consistency(): Calculate Assignment Consistency
calculate_cosine_similarity(): Calculate Cosine Similarity Matrix
calculate_document_similarity(): Calculate Document Similarity
calculate_keyword_stability(): Calculate Keyword Stability
calculate_semantic_drift(): Calculate Semantic Drift
calculate_similarity_robust(): Calculate Similarity Robust
calculate_text_readability(): Calculate Text Readability
calculate_topic_probability(): Calculate Topic Probabilities
calculate_topic_stability(): Calculate Topic Stability
calculate_word_frequency(): Analyze and Visualize Word Frequencies Across a Continuous Variable
run_app(): Launch and browse the TextAnalysisR app
run_neural_topics_internal(): Neural Topic Modeling
run_rag_search(): RAG-Enhanced Semantic Search
run_temporal_topics_internal(): Temporal Dynamic Topic Modeling
run_text_workflow(): Complete Text Mining Workflow
cross_analysis_validation(): Cross Analysis Validation
find_topic_matches(): Find Similar Topics
analyze_topic_evolution(): Analyze Semantic Evolution
generate_semantic_topic_keywords(): Generate Semantic Topic Keywords (c-TF-IDF)
TextAnalysisR TextAnalysisR-package: TextAnalysisR: Text Mining Workflow Tool
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