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Provides a text mining and natural language processing workflow for documents. Includes preprocessing via 'quanteda', lexical analysis (term frequency-inverse document frequency, log-odds ratios, lexical diversity) via 'tidytext', topic modeling via 'stm' and the 'BERTopic' approach, semantic similarity and document clustering on transformer representations, an interactive 'Shiny' interface with 'ggplot2' visualization, optional 'spaCy' preprocessing, and local 'sentence-transformers' or web-based ('OpenAI', 'Gemini') model providers for retrieval-augmented generation, as described in Shin et al. (2026) <doi:10.1177/07319487251412879>.
| Reference manual: | TextAnalysisR.html , TextAnalysisR.pdf |
| Vignettes: |
AI Integration (source, R code) Security (source, R code) Installation (source, R code) Lexical Analysis (source, R code) Multimodal Analysis (source, R code) Preprocessing (source, R code) Python Environment (source, R code) Getting Started (source, R code) Semantic Analysis (source, R code) Topic Modeling (source, R code) Accessibility (source, R code) |
| Package source: | TextAnalysisR_0.1.4.tar.gz |
| Windows binaries: | r-devel: TextAnalysisR_0.1.4.zip, r-release: TextAnalysisR_0.1.4.zip, r-oldrel: TextAnalysisR_0.1.4.zip |
| macOS binaries: | r-release (arm64): TextAnalysisR_0.1.4.tgz, r-oldrel (arm64): TextAnalysisR_0.1.4.tgz, r-release (x86_64): TextAnalysisR_0.1.4.tgz, r-oldrel (x86_64): TextAnalysisR_0.1.4.tgz |
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These binaries (installable software) and packages are in development.
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