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TextAnalysisR 0.0.3 (2026-02-22)
Changes
- Fixed citation and documentation year from 2025 to 2026
- Updated package title to “A Text Mining Workflow Tool” across documentation
- Added pkgdown site URL to DESCRIPTION
- Updated
plot_topic_probability() documentation
- Refreshed pkgdown site articles and reference pages
TextAnalysisR 0.0.3 (2025-12-27)
New Features
- Multi-format file import (PDF, DOCX, XLSX, CSV, TXT)
- Hybrid topic modeling (STM + BERTopic)
- Semantic similarity and document clustering
- Lexical diversity metrics
UI/UX Improvements
- Removed GPU checkbox from Sentiment Analysis for consistency
- Streamlined provider selection for AI features
- Improved error messages for missing prerequisites
Lexical Analysis Enhancements
- Log odds ratio analysis for categorical word frequency comparisons
- Lexical dispersion plots showing term distribution across corpus
- Dispersion metrics quantifying how evenly terms spread across documents
Semantic Analysis Enhancements
- Neural sentiment analysis via transformers (DistilBERT, RoBERTa)
- Network node attribute controls (size by degree/betweenness/frequency)
- Node color options (community detection/frequency gradient)
NLP Integration
- spaCy: POS tagging, NER, lemmatization, dependency parsing
- Morphological analysis
- Sentence transformers for document embeddings
AI Integration
- Multi-provider: OpenAI, Gemini, Ollama (local)
- Topic-grounded content generation
- RAG search over document corpus
- Responsible AI design
Accessibility
- WCAG 2.1 Level AA compliant
- Dark mode, keyboard navigation, screen reader support
- Multi-language support
Security
- Rate limiting, input validation, API key protection
Bug Fixes
- Removed internal functions from package exports (
run_neural_topics_internal, run_temporal_topics_internal, run_contrastive_topics_internal, calculate_eval_metrics_internal)
TextAnalysisR 0.0.2 (2024-12-05)
- Improved documentation
- Enhanced DESCRIPTION metadata
- CRAN policy compliance updates
TextAnalysisR 0.0.1 (2023-10-18)
- Initial CRAN release
- Core text mining functionality
- STM topic modeling
- Text preprocessing capabilities