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TextAnalysisR 0.1.4.9000 (development)

  • Added estimate_topic_effects() for STM prevalence effects.
  • Fixed neural-classifier sentiment scoring.
  • Prevented the hosted app from crashing on large datasets.

TextAnalysisR 0.1.4

CRAN release: 2026-07-27

  • New math_mode argument in prep_texts() keeps numbers, math operators, and symbols, and strips only sentence-end punctuation.
  • First CRAN release.

TextAnalysisR 0.1.3

  • Updated semantic analysis and topic modeling functions.
  • Refreshed vignettes and pkgdown reference index.

TextAnalysisR 0.1.0

  • Renamed fit_embedding_topics() to fit_embedding_model(). The old name is deprecated.
  • Multi-format file import (PDF, DOCX, XLSX, CSV, TXT).
  • Hybrid topic modeling (STM + BERTopic).
  • Semantic similarity and document clustering.
  • Lexical diversity metrics (TTR, MTLD).
  • Log-odds ratio analysis and lexical dispersion plots.
  • Neural sentiment analysis via transformers.
  • spaCy support for POS tagging, NER, lemmatization, and dependency parsing.
  • Sentence-transformer document embeddings.
  • LLM integration (OpenAI, Gemini) for topic labeling and RAG.

TextAnalysisR 0.0.2

  • Documentation improvements.

TextAnalysisR 0.0.1

  • First development release.
  • Text preprocessing, STM topic modeling, basic Shiny app.